dblp: Seyed Hamed Hassani

dblp: Seyed Hamed Hassani
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affiliation:
University of Pennsylvania, USA
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records
2026
[j36]
Zachary Ravichandran
Alexander Robey
Vijay Kumar
George J. Pappas
Hamed Hassani
Safety Guardrails for LLM-Enabled Robots.
IEEE Robotics Autom. Lett.
11
4649-4656
2026
[i155]
Changdae Oh
Seongheon Park
To Eun Kim
Jiatong Li
Wendi Li
Samuel Yeh
Xuefeng Du
Hamed Hassani
Paul Bogdan
Dawn Song
Sharon Li
Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents.
CoRR
abs/2602.05073
2026
[i154]
Mahdi Sabbaghi
George J. Pappas
Adel Javanmard
Hamed Hassani
Robust Policy Optimization to Prevent Catastrophic Forgetting.
CoRR
abs/2602.08813
2026
[i153]
Shayan Kiyani
Sima Noorani
George J. Pappas
Hamed Hassani
When to Trust the Cheap Check: Weak and Strong Verification for Reasoning.
CoRR
abs/2602.17633
2026
[i152]
Sima Noorani
Shayan Kiyani
Hamed Hassani
George J. Pappas
Multi-Round Human-AI Collaboration with User-Specified Requirements.
CoRR
abs/2602.17646
2026
[i151]
Zachary Ravichandran
David Snyder
Alexander Robey
Hamed Hassani
Vijay Kumar
George J. Pappas
Contextual Safety Reasoning and Grounding for Open-World Robots.
CoRR
abs/2602.19983
2026
2025
[j35]
Bruce D. Lee
Thomas T. C. K. Zhang
Hamed Hassani
Nikolai Matni
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation.
IEEE Trans. Autom. Control.
70
3133-3148
2025
[j34]
Yutong He
Alexander Robey
Naoki Murata
Yiding Jiang
Joshua Nathaniel Williams
George J. Pappas
Hamed Hassani
Yuki Mitsufuji
Ruslan Salakhutdinov
J. Zico Kolter
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation.
Trans. Mach. Learn. Res.
2025
2025
[j33]
Alexander Robey
Eric Wong
Hamed Hassani
George J. Pappas
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks.
Trans. Mach. Learn. Res.
2025
2025
[c120]
Hongyan Chang
Hamed Hassani
Reza Shokri
Watermark Smoothing Attacks against Language Models.
EMNLP (Findings)
2025
4915-4941
[c119]
Davis Brown
Prithvi Balehannina
Helen Jin
Shreya Havaldar
Hamed Hassani
Eric Wong
Adaptively profiling models with task elicitation.
EMNLP
2025
24985-25020
[c118]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding.
ICLR
2025
[c117]
Shayan Kiyani
George J. Pappas
Aaron Roth
Hamed Hassani
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents.
ICML
2025
[c116]
Mahdi Sabbaghi
Paul Kassianik
George J. Pappas
Amin Karbasi
Hamed Hassani
Adversarial Reasoning at Jailbreaking Time.
ICML
2025
[c115]
Thomas T. C. K. Zhang
Behrad Moniri
Ansh Nagwekar
Faraz Rahman
Anton Xue
Hamed Hassani
Nikolai Matni
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning.
ICML
2025
[c114]
Alexander Robey
Zachary Ravichandran
Vijay Kumar
Hamed Hassani
George J. Pappas
Jailbreaking LLM-Controlled Robots.
ICRA
2025
11948-11956
[c113]
Jiabao Ji
Bairu Hou
Alexander Robey
George J. Pappas
Hamed Hassani
Yang Zhang
Eric Wong
Shiyu Chang
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing.
IJCNLP-AACL (Short Papers)
2025
7-40
[c112]
Behrad Moniri
Hamed Hassani
Asymptotics of Linear Regression with Linearly Dependent Data.
L4DC
2025
72-85
[c111]
Behrad Moniri
Hamed Hassani
Edgar Dobriban
Evaluating the Performance of Large Language Models via Debates.
NAACL (Findings)
2025
2040-2075
[c110]
Patrick Chao
Alexander Robey
Edgar Dobriban
Hamed Hassani
George J. Pappas
Eric Wong
Jailbreaking Black Box Large Language Models in Twenty Queries.
SaTML
2025
23-42
[i150]
Mahdi Sabbaghi
Paul Kassianik
George J. Pappas
Yaron Singer
Amin Karbasi
Hamed Hassani
Adversarial Reasoning at Jailbreaking Time.
CoRR
abs/2502.01633
2025
[i149]
Thomas T. Zhang
Behrad Moniri
Ansh Nagwekar
Faraz Rahman
Anton Xue
Hamed Hassani
Nikolai Matni
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning.
CoRR
abs/2502.01763
2025
[i148]
Shayan Kiyani
George J. Pappas
Aaron Roth
Hamed Hassani
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents.
CoRR
abs/2502.02561
2025
[i147]
Sunay Joshi
Shayan Kiyani
George J. Pappas
Edgar Dobriban
Hamed Hassani
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts.
CoRR
abs/2502.13030
2025
[i146]
Davis Brown
Prithvi Balehannina
Helen Jin
Shreya Havaldar
Hamed Hassani
Eric Wong
Adaptively evaluating models with task elicitation.
CoRR
abs/2503.01986
2025
[i145]
Zachary Ravichandran
Alexander Robey
Vijay Kumar
George J. Pappas
Hamed Hassani
Safety Guardrails for LLM-Enabled Robots.
CoRR
abs/2503.07885
2025
[i144]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff.
CoRR
abs/2503.17558
2025
[i143]
Behrad Moniri
Hamed Hassani
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective.
CoRR
abs/2505.18346
2025
[i142]
Eliot Krzysztof Jones
Alexander Robey
Andy Zou
Zachary Ravichandran
George J. Pappas
Hamed Hassani
Matt Fredrikson
J. Zico Kolter
Adversarial Attacks on Robotic Vision Language Action Models.
CoRR
abs/2506.03350
2025
[i141]
Sima Noorani
Shayan Kiyani
George J. Pappas
Hamed Hassani
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models.
CoRR
abs/2506.05497
2025
[i140]
Davis Brown
Mahdi Sabbaghi
Luze Sun
Alexander Robey
George J. Pappas
Eric Wong
Hamed Hassani
Benchmarking Misuse Mitigation Against Covert Adversaries.
CoRR
abs/2506.06414
2025
[i139]
Kwan Ho Ryan Chan
Yuyan Ge
Edgar Dobriban
Hamed Hassani
René Vidal
Conformal Information Pursuit for Interactively Guiding Large Language Models.
CoRR
abs/2507.03279
2025
[i138]
Sagnik Anupam
Davis Brown
Shuo Li
Eric Wong
Hamed Hassani
Osbert Bastani
BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks.
CoRR
abs/2510.02418
2025
[i137]
Shayan Kiyani
Hamed Hassani
George J. Pappas
Aaron Roth
Robust Decision Making with Partially Calibrated Forecasts.
CoRR
abs/2510.23471
2025
[i136]
Sima Noorani
Shayan Kiyani
George J. Pappas
Hamed Hassani
Human-AI Collaborative Uncertainty Quantification.
CoRR
abs/2510.23476
2025
[i135]
Sunay Joshi
Yan Sun
Hamed Hassani
Edgar Dobriban
MultiRisk: Multiple Risk Control via Iterative Score Thresholding.
CoRR
abs/2512.24587
2025
2024
[j32]
Mark Beliaev
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
Efficient and Robust Classification for Sparse Attacks.
IEEE J. Sel. Areas Inf. Theory
261-272
2024
[j31]
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
Binary Classification Under ℓ0 Attacks for General Noise Distribution.
IEEE Trans. Inf. Theory
70
1284-1299
2024
[j30]
Han Wang
Aritra Mitra
Hamed Hassani
George J. Pappas
James Anderson
Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity.
Trans. Mach. Learn. Res.
2024
2024
[j29]
Aritra Mitra
George J. Pappas
Hamed Hassani
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning.
Trans. Mach. Learn. Res.
2024
2024
[c109]
Arman Adibi
Nicolò Dal Fabbro
Luca Schenato
Sanjeev R. Kulkarni
H. Vincent Poor
George J. Pappas
Hamed Hassani
Aritra Mitra
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling.
AISTATS
2024
2746-2754
[c108]
Arman Adibi
Aritra Mitra
Hamed Hassani
Min-Max Optimization Under Delays.
ACC
2024
80-85
[c107]
Xinmeng Huang
Shuo Li
Mengxin Yu
Matteo Sesia
Hamed Hassani
Insup Lee
Osbert Bastani
Edgar Dobriban
Uncertainty in Language Models: Assessment through Rank-Calibration.
EMNLP
2024
284-312
[c106]
Alexander Robey
Fabian Latorre
George J. Pappas
Hamed Hassani
Volkan Cevher
Adversarial Training Should Be Cast as a Non-Zero-Sum Game.
ICLR
2024
[c105]
Liam Collins
Hamed Hassani
Mahdi Soltanolkotabi
Aryan Mokhtari
Sanjay Shakkottai
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks.
ICML
2024
9292-9345
[c104]
Shayan Kiyani
George J. Pappas
Hamed Hassani
Conformal Prediction with Learned Features.
ICML
2024
24749-24769
[c103]
Kevin Kögler
Aleksandr Shevchenko
Hamed Hassani
Marco Mondelli
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth.
ICML
2024
24964-25015
[c102]
Behrad Moniri
Donghwan Lee
Hamed Hassani
Edgar Dobriban
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks.
ICML
2024
36106-36159
[c101]
Patrick Chao
Edoardo Debenedetti
Alexander Robey
Maksym Andriushchenko
Francesco Croce
Vikash Sehwag
Edgar Dobriban
Nicolas Flammarion
George J. Pappas
Florian Tramèr
Hamed Hassani
Eric Wong
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.
NeurIPS
2024
[c100]
Xinmeng Huang
Shuo Li
Edgar Dobriban
Osbert Bastani
Hamed Hassani
Dongsheng Ding
One-Shot Safety Alignment for Large Language Models via Optimal Dualization.
NeurIPS
2024
[c99]
Shayan Kiyani
George J. Pappas
Hamed Hassani
Length Optimization in Conformal Prediction.
NeurIPS
2024
[i134]
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
Generalization Properties of Adversarial Training for 𝓁
-Bounded Adversarial Attacks.
CoRR
abs/2402.03576
2024
[i133]
Kevin Kögler
Alexander Shevchenko
Hamed Hassani
Marco Mondelli
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth.
CoRR
abs/2402.05013
2024
[i132]
Arman Adibi
Nicolò Dal Fabbro
Luca Schenato
Sanjeev R. Kulkarni
H. Vincent Poor
George J. Pappas
Hamed Hassani
Aritra Mitra
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling.
CoRR
abs/2402.11800
2024
[i131]
Jiabao Ji
Bairu Hou
Alexander Robey
George J. Pappas
Hamed Hassani
Yang Zhang
Eric Wong
Shiyu Chang
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing.
CoRR
abs/2402.16192
2024
[i130]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding.
CoRR
abs/2403.07320
2024
[i129]
Yutong He
Alexander Robey
Naoki Murata
Yiding Jiang
Joshua Williams
George J. Pappas
Hamed Hassani
Yuki Mitsufuji
Ruslan Salakhutdinov
J. Zico Kolter
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation.
CoRR
abs/2403.19103
2024
[i128]
Patrick Chao
Edoardo Debenedetti
Alexander Robey
Maksym Andriushchenko
Francesco Croce
Vikash Sehwag
Edgar Dobriban
Nicolas Flammarion
George J. Pappas
Florian Tramèr
Hamed Hassani
Eric Wong
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.
CoRR
abs/2404.01318
2024
[i127]
Xinmeng Huang
Shuo Li
Mengxin Yu
Matteo Sesia
Hamed Hassani
Insup Lee
Osbert Bastani
Edgar Dobriban
Uncertainty in Language Models: Assessment through Rank-Calibration.
CoRR
abs/2404.03163
2024
[i126]
Shayan Kiyani
George J. Pappas
Hamed Hassani
Conformal Prediction with Learned Features.
CoRR
abs/2404.17487
2024
[i125]
Behrad Moniri
Hamed Hassani
Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models.
CoRR
abs/2405.18274
2024
[i124]
Xinmeng Huang
Shuo Li
Edgar Dobriban
Osbert Bastani
Hamed Hassani
Dongsheng Ding
One-Shot Safety Alignment for Large Language Models via Optimal Dualization.
CoRR
abs/2405.19544
2024
[i123]
Mahdi Sabbaghi
George J. Pappas
Hamed Hassani
Surbhi Goel
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks.
CoRR
abs/2406.01895
2024
[i122]
Patrick Chao
Edgar Dobriban
Hamed Hassani
Watermarking Language Models with Error Correcting Codes.
CoRR
abs/2406.10281
2024
[i121]
Behrad Moniri
Hamed Hassani
Edgar Dobriban
Evaluating the Performance of Large Language Models via Debates.
CoRR
abs/2406.11044
2024
[i120]
Shayan Kiyani
George J. Pappas
Hamed Hassani
Length Optimization in Conformal Prediction.
CoRR
abs/2406.18814
2024
[i119]
Hongyan Chang
Hamed Hassani
Reza Shokri
Watermark Smoothing Attacks against Language Models.
CoRR
abs/2407.14206
2024
[i118]
Alexander Robey
Zachary Ravichandran
Vijay Kumar
Hamed Hassani
George J. Pappas
Jailbreaking LLM-Controlled Robots.
CoRR
abs/2410.13691
2024
[i117]
Sima Noorani
Orlando Romero
Nicolò Dal Fabbro
Hamed Hassani
George J. Pappas
Conformal Risk Minimization with Variance Reduction.
CoRR
abs/2411.01696
2024
[i116]
Behrad Moniri
Hamed Hassani
Asymptotics of Linear Regression with Linearly Dependent Data.
CoRR
abs/2412.03702
2024
2023
[j28]
Donghwan Lee
Xinmeng Huang
Hamed Hassani
Edgar Dobriban
T-Cal: An Optimal Test for the Calibration of Predictive Models.
J. Mach. Learn. Res.
24
335:1-335:72
2023
[j27]
Mohammad Fereydounian
Hamed Hassani
Mohammad Vahid Jamali
Hessam Mahdavifar
Channel Coding at Low Capacity.
IEEE J. Sel. Areas Inf. Theory
351-362
2023
[j26]
Mohammad Fereydounian
Aryan Mokhtari
Ramtin Pedarsani
Hamed Hassani
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach.
IEEE Trans. Inf. Theory
69
11
7317-7335
2023
[j25]
Edgar Dobriban
Hamed Hassani
David Hong
Alexander Robey
Provable Tradeoffs in Adversarially Robust Classification.
IEEE Trans. Inf. Theory
69
12
7793-7822
2023
[j24]
Isidoros Tziotis
Zebang Shen
Ramtin Pedarsani
Hamed Hassani
Aryan Mokhtari
Straggler-Resilient Personalized Federated Learning.
Trans. Mach. Learn. Res.
2023
2023
[c98]
Thomas T. C. K. Zhang
Bruce D. Lee
Hamed Hassani
Nikolai Matni
Adversarial Tradeoffs in Robust State Estimation.
ACC
2023
4083-4089
[c97]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
On a Relation Between the Rate-Distortion Function and Optimal Transport.
Tiny Papers @ ICLR
2023
[c96]
Zebang Shen
Jiayuan Ye
Anmin Kang
Hamed Hassani
Reza Shokri
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning.
ICLR
2023
[c95]
Donghwan Lee
Behrad Moniri
Xinmeng Huang
Edgar Dobriban
Hamed Hassani
Demystifying Disagreement-on-the-Line in High Dimensions.
ICML
2023
19053-19093
[c94]
Aleksandr Shevchenko
Kevin Kögler
Hamed Hassani
Marco Mondelli
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods.
ICML
2023
31151-31209
[c93]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
Federated Neural Compression Under Heterogeneous Data.
ISIT
2023
525-530
[c92]
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks.
ITW
2023
113-118
[c91]
Aritra Mitra
Hamed Hassani
George J. Pappas
Linear Stochastic Bandits over a Bit-Constrained Channel.
L4DC
2023
1387-1399
[c90]
Haoze Wu
Teruhiro Tagomori
Alexander Robey
Fengjun Yang
Nikolai Matni
George J. Pappas
Hamed Hassani
Corina S. Pasareanu
Clark W. Barrett
Toward Certified Robustness Against Real-World Distribution Shifts.
SaTML
2023
537-553
[i115]
Aritra Mitra
George J. Pappas
Hamed Hassani
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning.
CoRR
abs/2301.00944
2023
[i114]
Donghwan Lee
Behrad Moniri
Xinmeng Huang
Edgar Dobriban
Hamed Hassani
Demystifying Disagreement-on-the-Line in High Dimensions.
CoRR
abs/2301.13371
2023
[i113]
Han Wang
Aritra Mitra
Hamed Hassani
George J. Pappas
James Anderson
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity.
CoRR
abs/2302.02212
2023
[i112]
Bruce D. Lee
Thomas T. C. K. Zhang
Hamed Hassani
Nikolai Matni
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation.
CoRR
abs/2305.16415
2023
[i111]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
Federated Neural Compression Under Heterogeneous Data.
CoRR
abs/2305.16416
2023
[i110]
Xinmeng Huang
Kan Xu
Donghwan Lee
Hamed Hassani
Hamsa Bastani
Edgar Dobriban
Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits.
CoRR
abs/2306.06291
2023
[i109]
Alexander Robey
Fabian Latorre
George J. Pappas
Hamed Hassani
Volkan Cevher
Adversarial Training Should Be Cast as a Non-Zero-Sum Game.
CoRR
abs/2306.11035
2023
[i108]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
On a Relation Between the Rate-Distortion Function and Optimal Transport.
CoRR
abs/2307.00246
2023
[i107]
Eric Lei
Yigit Berkay Uslu
Hamed Hassani
Shirin Saeedi Bidokhti
Text + Sketch: Image Compression at Ultra Low Rates.
CoRR
abs/2307.01944
2023
[i106]
Arman Adibi
Aritra Mitra
Hamed Hassani
Min-Max Optimization under Delays.
CoRR
abs/2307.06886
2023
[i105]
Liam Collins
Hamed Hassani
Mahdi Soltanolkotabi
Aryan Mokhtari
Sanjay Shakkottai
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks.
CoRR
abs/2307.06887
2023
[i104]
Zebang Shen
Jiayuan Ye
Anmin Kang
Hamed Hassani
Reza Shokri
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning.
CoRR
abs/2309.05505
2023
[i103]
Alexander Robey
Eric Wong
Hamed Hassani
George J. Pappas
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks.
CoRR
abs/2310.03684
2023
[i102]
Behrad Moniri
Donghwan Lee
Hamed Hassani
Edgar Dobriban
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks.
CoRR
abs/2310.07891
2023
[i101]
Patrick Chao
Alexander Robey
Edgar Dobriban
Hamed Hassani
George J. Pappas
Eric Wong
Jailbreaking Black Box Large Language Models in Twenty Queries.
CoRR
abs/2310.08419
2023
[i100]
Eric Lei
Arman Adibi
Hamed Hassani
Score-Based Methods for Discrete Optimization in Deep Learning.
CoRR
abs/2310.09890
2023
[i99]
Thomas Waite
Alexander Robey
Hamed Hassani
George J. Pappas
Radoslav Ivanov
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems.
CoRR
abs/2312.06848
2023
2022
[j23]
Amirhossein Reisizadeh
Isidoros Tziotis
Hamed Hassani
Aryan Mokhtari
Ramtin Pedarsani
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity.
IEEE J. Sel. Areas Inf. Theory
197-205
2022
[j22]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding.
IEEE J. Sel. Areas Inf. Theory
674-686
2022
[j21]
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model.
SIAM J. Math. Data Sci.
362-385
2022
[j20]
Xingran Chen
Konstantinos Gatsis
Hamed Hassani
Shirin Saeedi Bidokhti
Age of Information in Random Access Channels.
IEEE Trans. Inf. Theory
68
10
6548-6568
2022
[c89]
Arman Adibi
Aryan Mokhtari
Hamed Hassani
Minimax Optimization: The Case of Convex-Submodular.
AISTATS
2022
3556-3580
[c88]
Zebang Shen
Hamed Hassani
Satyen Kale
Amin Karbasi
Federated Functional Gradient Boosting.
AISTATS
2022
7814-7840
[c87]
Anton Xue
Lars Lindemann
Alexander Robey
Hamed Hassani
George J. Pappas
Rajeev Alur
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks.
CDC
2022
3389-3396
[c86]
Bruce D. Lee
Thomas T. C. K. Zhang
Hamed Hassani
Nikolai Matni
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control.
CDC
2022
3416-3423
[c85]
Arman Adibi
Aritra Mitra
George J. Pappas
Hamed Hassani
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents.
CDC
2022
4179-4184
[c84]
Zebang Shen
Zhenfu Wang
Satyen Kale
Alejandro Ribeiro
Amin Karbasi
Hamed Hassani
Self-Consistency of the Fokker Planck Equation.
COLT
2022
817-841
[c83]
Amirhossein Reisizadeh
Isidoros Tziotis
Hamed Hassani
Aryan Mokhtari
Ramtin Pedarsani
Adaptive Node Participation for Straggler-Resilient Federated Learning.
ICASSP
2022
8762-8766
[c82]
Mohammad Vahid Jamali
Mohammad Fereydounian
Hessam Mahdavifar
Hamed Hassani
Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels.
ICC
2022
123-128
[c81]
Zebang Shen
Juan Cerviño
Hamed Hassani
Alejandro Ribeiro
An Agnostic Approach to Federated Learning with Class Imbalance.
ICLR
2022
[c80]
Allan Zhou
Fahim Tajwar
Alexander Robey
Tom Knowles
George J. Pappas
Hamed Hassani
Chelsea Finn
Do deep networks transfer invariances across classes?
ICLR
2022
[c79]
Alexander Robey
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
Probabilistically Robust Learning: Balancing Average and Worst-case Performance.
ICML
2022
18667-18686
[c78]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
Neural Estimation of the Rate-Distortion Function for Massive Datasets.
ISIT
2022
608-613
[c77]
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
Binary Classification Under ℓ0 Attacks for General Noise Distribution.
ISIT
2022
1731-1736
[c76]
Mark Beliaev
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
Efficient and Robust Classification for Sparse Attacks.
ISIT
2022
3150-3155
[c75]
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning.
NeurIPS
2022
[c74]
Cian Eastwood
Alexander Robey
Shashank Singh
Julius von Kügelgen
Hamed Hassani
George J. Pappas
Bernhard Schölkopf
Probable Domain Generalization via Quantile Risk Minimization.
NeurIPS
2022
[c73]
Xinmeng Huang
Donghwan Lee
Edgar Dobriban
Hamed Hassani
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints.
NeurIPS
2022
[c72]
Aritra Mitra
Arman Adibi
George J. Pappas
Hamed Hassani
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds.
NeurIPS
2022
[i98]
Hamed Hassani
Adel Javanmard
The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression.
CoRR
abs/2201.05149
2022
[i97]
Mark Beliaev
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
Efficient and Robust Classification for Sparse Attacks.
CoRR
abs/2201.09369
2022
[i96]
Alexander Robey
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance.
CoRR
abs/2202.01136
2022
[i95]
Mohammad Vahid Jamali
Mohammad Fereydounian
Hessam Mahdavifar
Hamed Hassani
Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels.
CoRR
abs/2202.03654
2022
[i94]
Mohammad Fereydounian
Hamed Hassani
Javid Dadashkarimi
Amin Karbasi
The Exact Class of Graph Functions Generated by Graph Neural Networks.
CoRR
abs/2202.08833
2022
[i93]
Mohammad Fereydounian
Aryan Mokhtari
Ramtin Pedarsani
Hamed Hassani
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach.
CoRR
abs/2202.09398
2022
[i92]
Aritra Mitra
Hamed Hassani
George J. Pappas
Linear Stochastic Bandits over a Bit-Constrained Channel.
CoRR
abs/2203.01198
2022
[i91]
Donghwan Lee
Xinmeng Huang
Hamed Hassani
Edgar Dobriban
T-Cal: An optimal test for the calibration of predictive models.
CoRR
abs/2203.01850
2022
[i90]
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
Binary Classification Under 𝓁
Attacks for General Noise Distribution.
CoRR
abs/2203.04855
2022
[i89]
Allan Zhou
Fahim Tajwar
Alexander Robey
Tom Knowles
George J. Pappas
Hamed Hassani
Chelsea Finn
Do Deep Networks Transfer Invariances Across Classes?
CoRR
abs/2203.09739
2022
[i88]
Bruce D. Lee
Thomas T. C. K. Zhang
Hamed Hassani
Nikolai Matni
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control.
CoRR
abs/2203.10763
2022
[i87]
Anton Xue
Lars Lindemann
Alexander Robey
Hamed Hassani
George J. Pappas
Rajeev Alur
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks.
CoRR
abs/2204.00846
2022
[i86]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding.
CoRR
abs/2204.01612
2022
[i85]
Arman Adibi
Aritra Mitra
George J. Pappas
Hamed Hassani
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents.
CoRR
abs/2204.03187
2022
[i84]
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning.
CoRR
abs/2205.13692
2022
[i83]
Xinmeng Huang
Donghwan Lee
Edgar Dobriban
Hamed Hassani
Collaborative Learning of Distributions under Heterogeneity and Communication Constraints.
CoRR
abs/2206.00707
2022
[i82]
Zebang Shen
Zhenfu Wang
Satyen Kale
Alejandro Ribeiro
Amin Karbasi
Hamed Hassani
Self-Consistency of the Fokker-Planck Equation.
CoRR
abs/2206.00860
2022
[i81]
Isidoros Tziotis
Zebang Shen
Ramtin Pedarsani
Hamed Hassani
Aryan Mokhtari
Straggler-Resilient Personalized Federated Learning.
CoRR
abs/2206.02078
2022
[i80]
Aritra Mitra
Arman Adibi
George J. Pappas
Hamed Hassani
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds.
CoRR
abs/2206.02834
2022
[i79]
Haoze Wu
Teruhiro Tagomori
Alexander Robey
Fengjun Yang
Nikolai Matni
George J. Pappas
Hamed Hassani
Corina S. Pasareanu
Clark W. Barrett
Toward Certified Robustness Against Real-World Distribution Shifts.
CoRR
abs/2206.03669
2022
[i78]
Cian Eastwood
Alexander Robey
Shashank Singh
Julius von Kügelgen
Hamed Hassani
George J. Pappas
Bernhard Schölkopf
Probable Domain Generalization via Quantile Risk Minimization.
CoRR
abs/2207.09944
2022
[i77]
Alexander Shevchenko
Kevin Kögler
Hamed Hassani
Marco Mondelli
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods.
CoRR
abs/2212.13468
2022
2021
[j19]
Konstantinos Gatsis
Hamed Hassani
George J. Pappas
Latency-Reliability Tradeoffs for State Estimation.
IEEE Trans. Autom. Control.
66
1009-1023
2021
[j18]
Arman Fazeli
Hamed Hassani
Marco Mondelli
Alexander Vardy
Binary Linear Codes With Optimal Scaling: Polar Codes With Large Kernels.
IEEE Trans. Inf. Theory
67
5693-5710
2021
[j17]
Deepak S. Kalhan
Amrit Singh Bedi
Alec Koppel
Ketan Rajawat
Hamed Hassani
Abhishek K. Gupta
Adrish Banerjee
Dynamic Online Learning via Frank-Wolfe Algorithm.
IEEE Trans. Signal Process.
69
932-947
2021
[c71]
Aritra Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
Federated Learning with Incrementally Aggregated Gradients.
CDC
2021
775-782
[c70]
Aritra Mitra
Hamed Hassani
George J. Pappas
Online Federated Learning.
CDC
2021
4083-4090
[c69]
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
Exploiting Shared Representations for Personalized Federated Learning.
ICML
2021
2089-2099
[c68]
Heejin Jeong
Hamed Hassani
Manfred Morari
Daniel D. Lee
George J. Pappas
Deep Reinforcement Learning for Active Target Tracking.
ICRA
2021
1825-1831
[c67]
Alexander Robey
Arman Adibi
Brent Schlotfeldt
Hamed Hassani
George J. Pappas
Optimal Algorithms for Submodular Maximization with Distributed Constraints.
L4DC
2021
150-162
[c66]
Alexander Robey
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
Alejandro Ribeiro
Adversarial Robustness with Semi-Infinite Constrained Learning.
NeurIPS
2021
6198-6215
[c65]
Aritra Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients.
NeurIPS
2021
14606-14619
[c64]
Alexander Robey
George J. Pappas
Hamed Hassani
Model-Based Domain Generalization.
NeurIPS
2021
20210-20229
[i76]
Aritra Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
Achieving Linear Convergence in Federated Learning under Objective and Systems Heterogeneity.
CoRR
abs/2102.07053
2021
[i75]
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
Exploiting Shared Representations for Personalized Federated Learning.
CoRR
abs/2102.07078
2021
[i74]
Alexander Robey
George J. Pappas
Hamed Hassani
Model-Based Domain Generalization.
CoRR
abs/2102.11436
2021
[i73]
Zebang Shen
Hamed Hassani
Satyen Kale
Amin Karbasi
Federated Functional Gradient Boosting.
CoRR
abs/2103.06972
2021
[i72]
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
Robust Classification Under 𝓁
Attack for the Gaussian Mixture Model.
CoRR
abs/2104.02189
2021
[i71]
Francisco Barreras
Mikhail Hayhoe
Hamed Hassani
Victor M. Preciado
AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data.
CoRR
abs/2106.14357
2021
[i70]
Aritra Mitra
Hamed Hassani
George J. Pappas
Exploiting Heterogeneity in Robust Federated Best-Arm Identification.
CoRR
abs/2109.05700
2021
[i69]
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
Out-of-Distribution Robustness in Deep Learning Compression.
CoRR
abs/2110.07007
2021
[i68]
Alexander Robey
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
Alejandro Ribeiro
Adversarial Robustness with Semi-Infinite Constrained Learning.
CoRR
abs/2110.15767
2021
[i67]
Arman Adibi
Aryan Mokhtari
Hamed Hassani
Minimax Optimization: The Case of Convex-Submodular.
CoRR
abs/2111.01262
2021
[i66]
Bruce D. Lee
Thomas T. C. K. Zhang
Hamed Hassani
Nikolai Matni
Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation.
CoRR
abs/2111.08864
2021
2020
[j16]
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization.
J. Mach. Learn. Res.
21
105:1-105:49
2020
[j15]
Hamed Hassani
Amin Karbasi
Aryan Mokhtari
Zebang Shen
Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization.
SIAM J. Optim.
30
3315-3344
2020
[c63]
Lin Chen
Mingrui Zhang
Hamed Hassani
Amin Karbasi
Black Box Submodular Maximization: Discrete and Continuous Settings.
AISTATS
2020
1058-1070
[c62]
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization.
AISTATS
2020
2021-2031
[c61]
Mingrui Zhang
Lin Chen
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free.
AISTATS
2020
3696-3706
[c60]
Mingrui Zhang
Zebang Shen
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
One Sample Stochastic Frank-Wolfe.
AISTATS
2020
4012-4023
[c59]
Adel Javanmard
Mahdi Soltanolkotabi
Hamed Hassani
Precise Tradeoffs in Adversarial Training for Linear Regression.
COLT
2020
2034-2078
[c58]
Hossein Taheri
Aryan Mokhtari
Hamed Hassani
Ramtin Pedarsani
Quantized Decentralized Stochastic Learning over Directed Graphs.
ICML
2020
9324-9333
[c57]
Xingran Chen
Konstantinos Gatsis
Hamed Hassani
Shirin Saeedi Bidokhti
Age of Information in Random Access Channels.
ISIT
2020
1770-1775
[c56]
Arman Adibi
Aryan Mokhtari
Hamed Hassani
Submodular Meta-Learning.
NeurIPS
2020
[c55]
Zebang Shen
Zhenfu Wang
Alejandro Ribeiro
Hamed Hassani
Sinkhorn Barycenter via Functional Gradient Descent.
NeurIPS
2020
[c54]
Zebang Shen
Zhenfu Wang
Alejandro Ribeiro
Hamed Hassani
Sinkhorn Natural Gradient for Generative Models.
NeurIPS
2020
[i65]
Hossein Taheri
Aryan Mokhtari
Hamed Hassani
Ramtin Pedarsani
Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs.
CoRR
abs/2002.09964
2020
[i64]
Adel Javanmard
Mahdi Soltanolkotabi
Hamed Hassani
Precise Tradeoffs in Adversarial Training for Linear Regression.
CoRR
abs/2002.10477
2020
[i63]
Alexander Robey
Hamed Hassani
George J. Pappas
Model-Based Robust Deep Learning.
CoRR
abs/2005.10247
2020
[i62]
Edgar Dobriban
Hamed Hassani
David Hong
Alexander Robey
Provable tradeoffs in adversarially robust classification.
CoRR
abs/2006.05161
2020
[i61]
Heejin Jeong
Hamed Hassani
Manfred Morari
Daniel D. Lee
George J. Pappas
Learning to Track Dynamic Targets in Partially Known Environments.
CoRR
abs/2006.10190
2020
[i60]
Mohammad Fereydounian
Zebang Shen
Aryan Mokhtari
Amin Karbasi
Hamed Hassani
Safe Learning under Uncertain Objectives and Constraints.
CoRR
abs/2006.13326
2020
[i59]
Arman Adibi
Aryan Mokhtari
Hamed Hassani
Submodular Meta-Learning.
CoRR
abs/2007.05852
2020
[i58]
Zebang Shen
Zhenfu Wang
Alejandro Ribeiro
Hamed Hassani
Sinkhorn Barycenter via Functional Gradient Descent.
CoRR
abs/2007.10449
2020
[i57]
Zebang Shen
Zhenfu Wang
Alejandro Ribeiro
Hamed Hassani
Sinkhorn Natural Gradient for Generative Models.
CoRR
abs/2011.04162
2020
[i56]
Amirhossein Reisizadeh
Isidoros Tziotis
Hamed Hassani
Aryan Mokhtari
Ramtin Pedarsani
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity.
CoRR
abs/2012.14453
2020
2019
[j14]
Marco Mondelli
S. Hamed Hassani
Rüdiger L. Urbanke
A New Coding Paradigm for the Primitive Relay Channel.
Algorithms
12
10
218
2019
[j13]
Marco Mondelli
S. Hamed Hassani
Rüdiger L. Urbanke
Construction of Polar Codes With Sublinear Complexity.
IEEE Trans. Inf. Theory
65
2782-2791
2019
[j12]
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ramtin Pedarsani
An Exact Quantized Decentralized Gradient Descent Algorithm.
IEEE Trans. Signal Process.
67
19
4934-4947
2019
[c53]
Yogesh Balaji
Hamed Hassani
Rama Chellappa
Soheil Feizi
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs.
ICML
2019
414-423
[c52]
Zebang Shen
Alejandro Ribeiro
Hamed Hassani
Hui Qian
Chao Mi
Hessian Aided Policy Gradient.
ICML
2019
5729-5738
[c51]
Heejin Jeong
Brent Schlotfeldt
Hamed Hassani
Manfred Morari
Daniel D. Lee
George J. Pappas
Learning Q-network for Active Information Acquisition.
IROS
2019
6822-6827
[c50]
Mohammad Fereydounian
Xingran Chen
Hamed Hassani
Shirin Saeedi Bidokhti
Non-asymptotic Coded Slotted ALOHA.
ISIT
2019
111-115
[c49]
Mohammad Fereydounian
Mohammad Vahid Jamali
Hamed Hassani
Hessam Mahdavifar
Channel Coding at Low Capacity.
ITW
2019
1-5
[c48]
Amirhossein Reisizadeh
Hossein Taheri
Aryan Mokhtari
Hamed Hassani
Ramtin Pedarsani
Robust and Communication-Efficient Collaborative Learning.
NeurIPS
2019
8386-8397
[c47]
Mingrui Zhang
Lin Chen
Hamed Hassani
Amin Karbasi
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback.
NeurIPS
2019
9206-9217
[c46]
Mahyar Fazlyab
Alexander Robey
Hamed Hassani
Manfred Morari
George J. Pappas
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks.
NeurIPS
2019
11423-11434
[c45]
Amin Karbasi
Hamed Hassani
Aryan Mokhtari
Zebang Shen
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match.
NeurIPS
2019
13066-13076
[i55]
Lin Chen
Mingrui Zhang
Hamed Hassani
Amin Karbasi
Black Box Submodular Maximization: Discrete and Continuous Settings.
CoRR
abs/1901.09515
2019
[i54]
Mingrui Zhang
Lin Chen
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization.
CoRR
abs/1902.06332
2019
[i53]
Hamed Hassani
Amin Karbasi
Aryan Mokhtari
Zebang Shen
Stochastic Conditional Gradient++.
CoRR
abs/1902.06992
2019
[i52]
Mahyar Fazlyab
Alexander Robey
Hamed Hassani
Manfred Morari
George J. Pappas
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks.
CoRR
abs/1906.04893
2019
[i51]
Amirhossein Reisizadeh
Hossein Taheri
Aryan Mokhtari
Hamed Hassani
Ramtin Pedarsani
Robust and Communication-Efficient Collaborative Learning.
CoRR
abs/1907.10595
2019
[i50]
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization.
CoRR
abs/1909.13014
2019
[i49]
Alexander Robey
Arman Adibi
Brent Schlotfeldt
George J. Pappas
Hamed Hassani
Optimal Algorithms for Submodular Maximization with Distributed Constraints.
CoRR
abs/1909.13676
2019
[i48]
Mingrui Zhang
Zebang Shen
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
One Sample Stochastic Frank-Wolfe.
CoRR
abs/1910.04322
2019
[i47]
Heejin Jeong
Brent Schlotfeldt
Hamed Hassani
Manfred Morari
Daniel D. Lee
George J. Pappas
Learning Q-network for Active Information Acquisition.
CoRR
abs/1910.10754
2019
[i46]
Mingrui Zhang
Lin Chen
Hamed Hassani
Amin Karbasi
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback.
CoRR
abs/1910.12424
2019
[i45]
Xingran Chen
Konstantinos Gatsis
Hamed Hassani
Shirin Saeedi Bidokhti
Age of Information in Random Access Channels.
CoRR
abs/1912.01473
2019
2018
[j11]
Seyyed Ali Hashemi
Marco Mondelli
S. Hamed Hassani
Carlo Condo
Rüdiger L. Urbanke
Warren J. Gross
Decoder Partitioning: Towards Practical List Decoding of Polar Codes.
IEEE Trans. Commun.
66
3749-3759
2018
[j10]
Marco Mondelli
S. Hamed Hassani
Rüdiger L. Urbanke
How to Achieve the Capacity of Asymmetric Channels.
IEEE Trans. Inf. Theory
64
3371-3393
2018
[c44]
Adish Singla
Seyed Hamed Hassani
Andreas Krause
Learning to Interact With Learning Agents.
AAAI
2018
4083-4090
[c43]
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap.
AISTATS
2018
1886-1895
[c42]
Lin Chen
Hamed Hassani
Amin Karbasi
Online Continuous Submodular Maximization.
AISTATS
2018
1896-1905
[c41]
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ramtin Pedarsani
Quantized Decentralized Consensus Optimization.
CDC
2018
5838-5843
[c40]
Lin Chen
Christopher Harshaw
Hamed Hassani
Amin Karbasi
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity.
ICML
2018
813-822
[c39]
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings.
ICML
2018
3613-3622
[c38]
S. Hamed Hassani
Shrinivas Kudekar
Or Ordentlich
Yury Polyanskiy
Rüdiger L. Urbanke
Almost Optimal Scaling of Reed-Muller Codes on BEC and BSC Channels.
ISIT
2018
311-315
[c37]
Marco Mondelli
S. Hamed Hassani
Rüdiger L. Urbanke
A New Coding Paradigm for the Primitive Relay Channel.
ISIT
2018
351-355
[c36]
Arman Fazeli
S. Hamed Hassani
Marco Mondelli
Alexander Vardy
Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels.
ITW
2018
1-5
[c35]
Alkis Gotovos
S. Hamed Hassani
Andreas Krause
Stefanie Jegelka
Discrete Sampling using Semigradient-based Product Mixtures.
UAI
2018
229-237
[i44]
Marco Mondelli
S. Hamed Hassani
Rüdiger L. Urbanke
A New Coding Paradigm for the Primitive Relay Channel.
CoRR
abs/1801.03153
2018
[i43]
S. Hamed Hassani
Shrinivas Kudekar
Or Ordentlich
Yury Polyanskiy
Rüdiger L. Urbanke
Almost Optimal Scaling of Reed-Muller Codes on BEC and BSC Channels.
CoRR
abs/1801.09481
2018
[i42]
Lin Chen
Hamed Hassani
Amin Karbasi
Online Continuous Submodular Maximization.
CoRR
abs/1802.06052
2018
[i41]
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization.
CoRR
abs/1804.09554
2018
[i40]
Amirhossein Reisizadeh
Aryan Mokhtari
S. Hamed Hassani
Ramtin Pedarsani
Quantized Decentralized Consensus Optimization.
CoRR
abs/1806.11536
2018
[i39]
Alkis Gotovos
S. Hamed Hassani
Andreas Krause
Stefanie Jegelka
Discrete Sampling using Semigradient-based Product Mixtures.
CoRR
abs/1807.01808
2018
[i38]
Yogesh Balaji
Hamed Hassani
Rama Chellappa
Soheil Feizi
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs.
CoRR
abs/1810.04147
2018
[i37]
Konstantinos Gatsis
Hamed Hassani
George J. Pappas
Latency-Reliability Tradeoffs for State Estimation.
CoRR
abs/1810.11831
2018
[i36]
Mikhail Hayhoe
Francisco Barreras
Hamed Hassani
Victor M. Preciado
SPECTRE: Seedless Network Alignment via Spectral Centralities.
CoRR
abs/1811.01056
2018
[i35]
Mohammad Fereydounian
Mohammad Vahid Jamali
Hamed Hassani
Hessam Mahdavifar
Channel Coding at Low Capacity.
CoRR
abs/1811.04322
2018
2017
[c34]
Lin Chen
Seyed Hamed Hassani
Amin Karbasi
Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting.
AAAI
2017
1798-1804
[c33]
Yuxin Chen
Seyed Hamed Hassani
Andreas Krause
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests.
AISTATS
2017
223-231
[c32]
Seyyed Ali Hashemi
Marco Mondelli
S. Hamed Hassani
Rüdiger L. Urbanke
Warren J. Gross
Partitioned List Decoding of Polar Codes: Analysis and Improvement of Finite Length Performance.
GLOBECOM
2017
1-7
[c31]
Olivier Bachem
Mario Lucic
S. Hamed Hassani
Andreas Krause
Uniform Deviation Bounds for k-Means Clustering.
ICML
2017
283-291
[c30]
Dimitris Achlioptas
S. Hamed Hassani
Wei Liu
Rüdiger L. Urbanke
Time-invariant LDPC convolutional codes.
ISIT
2017
366-370
[c29]
Marco Mondelli
S. Hamed Hassani
Rüdiger L. Urbanke
Construction of polar codes with sublinear complexity.
ISIT
2017
1853-1857
[c28]
S. Hamed Hassani
Mahdi Soltanolkotabi
Amin Karbasi
Gradient Methods for Submodular Maximization.
NIPS
2017
5841-5851
[c27]
Mohammad Reza Karimi
Mario Lucic
S. Hamed Hassani
Andreas Krause
Stochastic Submodular Maximization: The Case of Coverage Functions.
NIPS
2017
6853-6863
[c26]
Marco Mondelli
S. Hamed Hassani
Ivana Maric
Dennis Hui
Song-Nam Hong
Capacity-Achieving Rate-Compatible Polar Codes for General Channels.
WCNC Workshops
2017
1-6
[i34]
Dimitris Achlioptas
Seyed Hamed Hassani
Wei Liu
Rüdiger L. Urbanke
Time-Invariant LDPC Convolutional Codes.
CoRR
abs/1702.04539
2017
[i33]
Adish Singla
Seyed Hamed Hassani
Andreas Krause
Learning to Use Learners' Advice.
CoRR
abs/1702.04825
2017
[i32]
Olivier Bachem
Mario Lucic
S. Hamed Hassani
Andreas Krause
Uniform Deviation Bounds for Unbounded Loss Functions like k-Means.
CoRR
abs/1702.08249
2017
[i31]
Seyyed Ali Hashemi
Marco Mondelli
S. Hamed Hassani
Rüdiger L. Urbanke
Warren J. Gross
Partitioned List Decoding of Polar Codes: Analysis and Improvement of Finite Length Performance.
CoRR
abs/1705.05497
2017
[i30]
Hadi Daneshmand
Hamed Hassani
Thomas Hofmann
Accelerated Dual Learning by Homotopic Initialization.
CoRR
abs/1706.03958
2017
[i29]
S. Hamed Hassani
Mahdi Soltanolkotabi
Amin Karbasi
Gradient Methods for Submodular Maximization.
CoRR
abs/1708.03949
2017
[i28]
Arman Fazeli
S. Hamed Hassani
Marco Mondelli
Alexander Vardy
Binary Linear Codes with Optimal Scaling and Quasi-Linear Complexity.
CoRR
abs/1711.01339
2017
[i27]
Mohammad Reza Karimi
Mario Lucic
S. Hamed Hassani
Andreas Krause
Stochastic Submodular Maximization: The Case of Coverage Functions.
CoRR
abs/1711.01566
2017
[i26]
Aryan Mokhtari
S. Hamed Hassani
Amin Karbasi
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap.
CoRR
abs/1711.01660
2017
2016
[j9]
Ehsan Kazemi
Seyed Hamed Hassani
Matthias Grossglauser
Hassan Pezeshgi Modarres
PROPER: global protein interaction network alignment through percolation matching.
BMC Bioinform.
17
527:1-527:16
2016
[j8]
Joseph M. Renes
David Sutter
Seyed Hamed Hassani
Alignment of Polarized Sets.
IEEE J. Sel. Areas Commun.
34
224-238
2016
[j7]
Marco Mondelli
S. Hamed Hassani
Rüdiger L. Urbanke
Unified Scaling of Polar Codes: Error Exponent, Scaling Exponent, Moderate Deviations, and Error Floors.
IEEE Trans. Inf. Theory
62
12
6698-6712
2016
[c25]
Olivier Bachem
Mario Lucic
S. Hamed Hassani
Andreas Krause
Approximate K-Means++ in Sublinear Time.
AAAI
2016
1459-1467
[c24]
Olivier Bachem
Mario Lucic
Seyed Hamed Hassani
Andreas Krause
Fast and Provably Good Seedings for k-Means.
NIPS
2016
55-63
[c23]
Dimitris Achlioptas
Seyed Hamed Hassani
Nicolas Macris
Rüdiger L. Urbanke
Bounds for Random Constraint Satisfaction Problems via Spatial Coupling.
SODA
2016
469-479
[i25]
Lin Chen
S. Hamed Hassani
Amin Karbasi
Dimension Coupling: Optimal Active Learning of Halfspaces via Query Synthesis.
CoRR
abs/1603.03515
2016
[i24]
Yuxin Chen
S. Hamed Hassani
Andreas Krause
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests.
CoRR
abs/1605.07334
2016
[i23]
Marco Mondelli
S. Hamed Hassani
Ivana Maric
Dennis Hui
Song-Nam Hong
Capacity-Achieving Rate-Compatible Polar Codes for General Channels.
CoRR
abs/1611.01199
2016
[i22]
Marco Mondelli
S. Hamed Hassani
Rüdiger L. Urbanke
Construction of Polar Codes with Sublinear Complexity.
CoRR
abs/1612.05295
2016
2015
[j6]
Ehsan Kazemi
Seyed Hamed Hassani
Matthias Grossglauser
Growing a Graph Matching from a Handful of Seeds.
Proc. VLDB Endow.
10
1010-1021
2015
[j5]
Marco Mondelli
Seyed Hamed Hassani
Igal Sason
Rüdiger L. Urbanke
Achieving Marton's Region for Broadcast Channels Using Polar Codes.
IEEE Trans. Inf. Theory
61
783-800
2015
[j4]
Marco Mondelli
Seyed Hamed Hassani
Rüdiger L. Urbanke
Scaling Exponent of List Decoders With Applications to Polar Codes.
IEEE Trans. Inf. Theory
61
4838-4851
2015
[c22]
Yuxin Chen
S. Hamed Hassani
Amin Karbasi
Andreas Krause
Sequential Information Maximization: When is Greedy Near-optimal?
COLT
2015
338-363
[c21]
Marco Mondelli
Rüdiger L. Urbanke
Seyed Hamed Hassani
Unified scaling of polar codes: Error exponent, scaling exponent, moderate deviations, and error floors.
ISIT
2015
1422-1426
[c20]
Joseph M. Renes
David Sutter
Seyed Hamed Hassani
Alignment of polarized sets.
ISIT
2015
2446-2450
[c19]
Alkis Gotovos
S. Hamed Hassani
Andreas Krause
Sampling from Probabilistic Submodular Models.
NIPS
2015
1945-1953
[i21]
Marco Mondelli
Seyed Hamed Hassani
Rüdiger L. Urbanke
Unified Scaling of Polar Codes: Error Exponent, Scaling Exponent, Moderate Deviations, and Error Floors.
CoRR
abs/1501.02444
2015
2014
[j3]
Marco Mondelli
Seyed Hamed Hassani
Rüdiger L. Urbanke
From Polar to Reed-Muller Codes: A Technique to Improve the Finite-Length Performance.
IEEE Trans. Commun.
62
3084-3091
2014
[j2]
Seyed Hamed Hassani
Kasra Alishahi
Rüdiger L. Urbanke
Finite-Length Scaling for Polar Codes.
IEEE Trans. Inf. Theory
60
10
5875-5898
2014
[c18]
Marco Mondelli
Rüdiger L. Urbanke
Seyed Hamed Hassani
How to achieve the capacity of asymmetric channels.
Allerton
2014
789-796
[c17]
Marco Mondelli
Seyed Hamed Hassani
Rüdiger L. Urbanke
From polar to Reed-Muller codes: A technique to improve the finite-length performance.
ISIT
2014
131-135
[c16]
Marco Mondelli
Seyed Hamed Hassani
Rüdiger L. Urbanke
Igal Sason
Achieving Marton's region for broadcast channels using polar codes.
ISIT
2014
306-310
[c15]
Seyed Hamed Hassani
Rüdiger L. Urbanke
Universal polar codes.
ISIT
2014
1451-1455
[i20]
Marco Mondelli
Seyed Hamed Hassani
Rüdiger L. Urbanke
From Polar to Reed-Muller Codes: a Technique to Improve the Finite-Length Performance.
CoRR
abs/1401.3127
2014
[i19]
Marco Mondelli
Seyed Hamed Hassani
Igal Sason
Rüdiger L. Urbanke
Achieving the Superposition and Binning Regions for Broadcast Channels Using Polar Codes.
CoRR
abs/1401.6060
2014
[i18]
Marco Mondelli
Seyed Hamed Hassani
Rüdiger L. Urbanke
How to Achieve the Capacity of Asymmetric Channels.
CoRR
abs/1406.7373
2014
[i17]
Joseph M. Renes
David Sutter
Seyed Hamed Hassani
Alignment of Polarized Sets.
CoRR
abs/1411.7925
2014
2013
[b1]
Seyed Hamed Hassani
Polarization and Spatial Coupling - Two Techniques to Boost Performance.
EPFL, Switzerland,
2013
[j1]
Seyed Hamed Hassani
Ryuhei Mori
Toshiyuki Tanaka
Rüdiger L. Urbanke
Rate-Dependent Analysis of the Asymptotic Behavior of Channel Polarization.
IEEE Trans. Inf. Theory
59
2267-2276
2013
[c14]
Seyed Hamed Hassani
Nicolas Macris
Rüdiger L. Urbanke
The space of solutions of coupled XORSAT formulae.
ISIT
2013
2453-2457
[c13]
Wei Liu
Seyed Hamed Hassani
Rüdiger L. Urbanke
The least degraded and the least upgraded channel with respect to a channel family.
ITW
2013
1-5
[c12]
Marco Mondelli
Seyed Hamed Hassani
Rüdiger L. Urbanke
Scaling exponent of list decoders with applications to polar codes.
ITW
2013
1-5
[c11]
S. Hamed Hassani
Extended polar codes perform better in terms of compound rate and scaling behavior.
IWCIT
2013
1-5
[i16]
Seyed Hamed Hassani
Nicolas Macris
Rüdiger L. Urbanke
The Space of Solutions of Coupled XORSAT Formulae.
CoRR
abs/1303.0540
2013
[i15]
Seyed Hamed Hassani
Kasra Alishahi
Rüdiger L. Urbanke
Finite-Length Scaling of Polar Codes.
CoRR
abs/1304.4778
2013
[i14]
Wei Liu
Seyed Hamed Hassani
Rüdiger L. Urbanke
The Least Degraded and the Least Upgraded Channel with respect to a Channel Family.
CoRR
abs/1304.5150
2013
[i13]
Marco Mondelli
Seyed Hamed Hassani
Rüdiger L. Urbanke
Scaling Exponent of List Decoders with Applications to Polar Codes.
CoRR
abs/1304.5220
2013
[i12]
Seyed Hamed Hassani
Rüdiger L. Urbanke
Universal Polar Codes.
CoRR
abs/1307.7223
2013
2012
[c10]
Ali Goli
Seyed Hamed Hassani
Rüdiger L. Urbanke
Universal bounds on the scaling behavior of polar codes.
ISIT
2012
1957-1961
[c9]
Seyed Hamed Hassani
Rüdiger L. Urbanke
Polar codes: Robustness of the successive cancellation decoder with respect to quantization.
ISIT
2012
1962-1966
[i11]
Ali Goli
Seyed Hamed Hassani
Rüdiger L. Urbanke
Universal Bounds on the Scaling Behavior of Polar Codes.
CoRR
abs/1205.2876
2012
[i10]
Ramtin Pedarsani
Seyed Hamed Hassani
Ido Tal
Emre Telatar
On the Construction of Polar Codes.
CoRR
abs/1209.4444
2012
[i9]
Seyed Hamed Hassani
Rüdiger L. Urbanke
Polar Codes: Robustness of the Successive Cancellation Decoder with Respect to Quantization.
CoRR
abs/1209.4612
2012
2011
[c8]
Ramtin Pedarsani
Seyed Hamed Hassani
Ido Tal
Emre Telatar
On the construction of polar codes.
ISIT
2011
11-15
[c7]
Seyed Hamed Hassani
Nicolas Macris
Ryuhei Mori
Near concavity of the growth rate for coupled LDPC chains.
ISIT
2011
356-360
[i8]
Seyed Hamed Hassani
Nicolas Macris
Ryuhei Mori
Near concavity of the growth rate for coupled LDPC chains.
CoRR
abs/1104.0599
2011
[i7]
Seyed Hamed Hassani
Nicolas Macris
Rüdiger L. Urbanke
Coupled Graphical Models and Their Thresholds.
CoRR
abs/1105.0785
2011
[i6]
Seyed Hamed Hassani
Nicolas Macris
Rüdiger L. Urbanke
Chains of Mean Field Models.
CoRR
abs/1105.0807
2011
[i5]
Seyed Hamed Hassani
Ryuhei Mori
Toshiyuki Tanaka
Rüdiger L. Urbanke
Rate-Dependent Analysis of the Asymptotic Behavior of Channel Polarization.
CoRR
abs/1110.0194
2011
[i4]
Seyed Hamed Hassani
Nicolas Macris
Rüdiger L. Urbanke
Threshold Saturation in Spatially Coupled Constraint Satisfaction Problems.
CoRR
abs/1112.6320
2011
2010
[c6]
Seyed Hamed Hassani
Rüdiger L. Urbanke
On the scaling of polar codes: I. The behavior of polarized channels.
ISIT
2010
874-878
[c5]
Seyed Hamed Hassani
Kasra Alishahi
Rüdiger L. Urbanke
On the scaling of polar codes: II. The behavior of un-polarized channels.
ISIT
2010
879-883
[c4]
S. Hamed Hassani
Nicolas Macris
Rüdiger L. Urbanke
Coupled graphical models and their thresholds.
ITW
2010
1-5
[i3]
Seyed Hamed Hassani
Rüdiger L. Urbanke
On the scaling of Polar codes: I. The behavior of polarized channels.
CoRR
abs/1001.2766
2010
[i2]
Seyed Hamed Hassani
Kasra Alishahi
Rüdiger L. Urbanke
On the scaling of Polar Codes: II. The behavior of un-polarized channels.
CoRR
abs/1002.3187
2010
2009
[c3]
S. Hamed Hassani
Satish Babu Korada
Rüdiger L. Urbanke
The compound capacity of polar codes.
Allerton
2009
16-21
[i1]
Seyed Hamed Hassani
Satish Babu Korada
Rüdiger L. Urbanke
The Compound Capacity of Polar Codes.
CoRR
abs/0907.3291
2009
2007
[c2]
Seyed Hamed Hassani
Farid Ashtiani
Pouya Tehrani
Non-Saturation Mode Analysis of IEEE 802.11 MAC Protocol.
PIMRC
2007
1-5
2006
[c1]
Seyed Hamed Hassani
Mohammad Reza Aref
A New (t, n) Multi-Secret Sharing Scheme Based on Linear Algebra.
SECRYPT
2006
443-449
Dimitris Achlioptas
[c30]
[i34]
[c23]
Arman Adibi
[c109]
[c108]
[i132]
[i106]
[i100]
[c89]
[c85]
[c72]
[i85]
[i80]
[c67]
[i67]
[c56]
[i59]
[i49]
Kasra Alishahi
[j2]
[i15]
[c5]
[i2]
Rajeev Alur
[c87]
[i87]
James Anderson
0001
[j30]
[i113]
Maksym Andriushchenko
[c101]
[i128]
Sagnik Anupam
[i138]
Mohammad Reza Aref
[c1]
Farid Ashtiani
[c2]
10
Olivier Bachem
[c31]
[i32]
[c25]
[c24]
11
Yogesh Balaji
[c53]
[i38]
12
Prithvi Balehannina
[c119]
[i146]
13
Adrish Banerjee
[j17]
14
Francisco Barreras
[i71]
[i36]
15
Clark W. Barrett
[c90]
[i79]
16
Hamsa Bastani
[i110]
17
Osbert Bastani
[i138]
[c107]
[c100]
[i127]
[i124]
18
Amrit Singh Bedi
[j17]
19
Mark Beliaev
[j32]
[c76]
[i97]
20
Shirin Saeedi Bidokhti
[c118]
[i144]
[i130]
[c97]
[c93]
[i111]
[i108]
[i107]
[j22]
[j20]
[c78]
[i86]
[i69]
[c57]
[c50]
[i45]
21
Paul Bogdan
[i155]
22
Davis Brown
[c119]
[i146]
[i140]
[i138]
23
Juan Cerviño
[c81]
24
Volkan Cevher
[c106]
[i109]
25
Luiz F. O. Chamon
[c79]
[i96]
[c66]
[i68]
26
Kwan Ho Ryan Chan
[i139]
27
Hongyan Chang
[c120]
[i119]
28
Shiyu Chang
[c113]
[i131]
29
Patrick Chao
[c110]
[c101]
[i128]
[i122]
[i101]
30
Rama Chellappa
[c53]
[i38]
31
Lin Chen
0003
[c63]
[c61]
[c47]
[i55]
[i54]
[i46]
[c42]
[c40]
[i42]
[c34]
[i25]
32
Xingran Chen
[j20]
[c57]
[c50]
[i45]
33
Yuxin Chen
0001
[c33]
[i24]
[c22]
34
Liam Collins
[c105]
[i105]
[c75]
[i84]
[c69]
[i75]
35
Carlo Condo
[j11]
36
Francesco Croce
[c101]
[i128]
37
Javid Dadashkarimi
[i94]
38
Hadi Daneshmand
[i30]
39
Edoardo Debenedetti
[c101]
[i128]
40
Payam Delgosha
[j32]
[j31]
[i134]
[c92]
[j21]
[c77]
[c76]
[i97]
[i90]
[i72]
41
Dongsheng Ding
[c100]
[i124]
42
Edgar Dobriban
[c111]
[c110]
[i147]
[i139]
[i135]
[c107]
[c102]
[c101]
[c100]
[i128]
[i127]
[i124]
[i122]
[i121]
[j28]
[j25]
[c95]
[i114]
[i110]
[i102]
[i101]
[c73]
[i91]
[i83]
[i62]
43
Xuefeng Du
[i155]
44
Cian Eastwood
[c74]
[i78]
45
Nicolò Dal Fabbro
[c109]
[i132]
[i117]
46
Arman Fazeli
[j18]
[c36]
[i28]
47
Mahyar Fazlyab
[c46]
[i52]
48
Soheil Feizi
[c53]
[i38]
49
Mohammad Fereydounian
[j27]
[j26]
[c82]
[i95]
[i94]
[i93]
[i60]
[c50]
[c49]
[i35]
50
Chelsea Finn
[c80]
[i89]
51
Nicolas Flammarion
[c101]
[i128]
52
Matt Fredrikson
[i142]
53
Konstantinos Gatsis
[j20]
[j19]
[c57]
[i45]
[i37]
54
Yuyan Ge
[i139]
55
Surbhi Goel
[i123]
56
Ali Goli
[c10]
[i11]
57
Alkis Gotovos
[c35]
[i39]
[c19]
58
Warren J. Gross
[j11]
[c32]
[i31]
59
Matthias Grossglauser
[j9]
[j6]
60
Abhishek K. Gupta
[j17]
61
Christopher Harshaw
[c40]
62
Seyyed Ali Hashemi
[j11]
[c32]
[i31]
63
Shreya Havaldar
[c119]
[i146]
64
Mikhail Hayhoe
[i71]
[i36]
65
Yutong He
[j34]
[i129]
66
Thomas Hofmann
0001
[i30]
67
David Hong
[j25]
[i62]
68
Songnam Hong
0001
aka: Song-Nam Hong
0001
[c26]
[i23]
69
Bairu Hou
[c113]
[i131]
70
Xinmeng Huang
[c107]
[c100]
[i127]
[i124]
[j28]
[c95]
[i114]
[i110]
[c73]
[i91]
[i83]
71
Dennis Hui
[c26]
[i23]
72
Radoslav Ivanov
[i99]
73
Rayana H. Jaafar
[c71]
[c65]
[i76]
74
Ali Jadbabaie
[c62]
[i50]
75
Mohammad Vahid Jamali
[j27]
[c82]
[i95]
[c49]
[i35]
76
Adel Javanmard
[i154]
[i98]
[c59]
[i64]
77
Stefanie Jegelka
[c35]
[i39]
78
Heejin Jeong
[c68]
[i61]
[c51]
[i47]
79
Jiabao Ji
[c113]
[i131]
80
Yiding Jiang
[j34]
[i129]
81
Helen Jin
[c119]
[i146]
82
Eliot Krzysztof Jones
[i142]
83
Sunay Joshi
[i147]
[i135]
84
Satyen Kale
[c88]
[c84]
[i82]
[i73]
85
Deepak S. Kalhan
[j17]
86
Anmin Kang
[c96]
[i104]
87
Amin Karbasi
[c116]
[i150]
[c88]
[c84]
[i94]
[i82]
[i73]
[j16]
[j15]
[c63]
[c61]
[c60]
[i60]
[c47]
[c45]
[i55]
[i54]
[i53]
[i48]
[i46]
[c43]
[c42]
[c40]
[c39]
[i42]
[i41]
[c34]
[c28]
[i29]
[i26]
[i25]
[c22]
88
Mohammad Reza Karimi
[c27]
[i27]
89
Paul Kassianik
[c116]
[i150]
90
Ehsan Kazemi
0001
[j9]
[j6]
91
To Eun Kim
[i155]
92
Shayan Kiyani
[i153]
[i152]
[c117]
[i148]
[i147]
[i141]
[i137]
[i136]
[c104]
[c99]
[i126]
[i120]
93
Tom Knowles
[c80]
[i89]
94
Kevin Kögler
[c103]
[i133]
[c94]
[i77]
95
J. Zico Kolter
[j34]
[i142]
[i129]
96
Alec Koppel
[j17]
97
Satish Babu Korada
[c3]
[i1]
98
Andreas Krause
0001
[c44]
[c35]
[i39]
[c33]
[c31]
[c27]
[i33]
[i32]
[i27]
[c25]
[c24]
[i24]
[c22]
[c19]
99
Shrinivas Kudekar
[c38]
[i43]
100
Julius von Kügelgen
[c74]
[i78]
101
Sanjeev R. Kulkarni
[c109]
[i132]
102
Vijay Kumar
0001
[j36]
[i151]
[c114]
[i145]
[i118]
103
Fabian Latorre
[c106]
[i109]
104
Bruce D. Lee
[j35]
[c98]
[i112]
[c86]
[i88]
[i66]
105
Daniel D. Lee
[c68]
[i61]
[c51]
[i47]
106
Donghwan Lee
[c102]
[j28]
[c95]
[i114]
[i110]
[i102]
[c73]
[i91]
[i83]
107
Insup Lee
0001
[c107]
[i127]
108
Eric Lei
[c118]
[i144]
[i130]
[c97]
[c93]
[i111]
[i108]
[i107]
[i100]
[j22]
[c78]
[i86]
[i69]
109
Jiatong Li
[i155]
110
Shuo Li
[i138]
[c107]
[c100]
[i127]
[i124]
111
Wendi Li
[i155]
112
Yixuan Li
0001
aka: Sharon Li
0001
[i155]
113
Lars Lindemann
[c87]
[i87]
114
Wei Liu
0105
[c30]
[i34]
[c13]
[i14]
115
Mario Lucic
[c31]
[c27]
[i32]
[i27]
[c25]
[c24]
116
Nicolas Macris
[c23]
[c14]
[i16]
[c7]
[i8]
[i7]
[i6]
[i4]
[c4]
117
Hessam Mahdavifar
[j27]
[c82]
[i95]
[c49]
[i35]
118
Ivana Maric
[c26]
[i23]
119
Nikolai Matni
[j35]
[c115]
[i149]
[c98]
[c90]
[i112]
[c86]
[i88]
[i79]
[i66]
120
Chao Mi
[c52]
121
Aritra Mitra
[j30]
[j29]
[c109]
[c108]
[i132]
[c91]
[i115]
[i113]
[i106]
[c85]
[c72]
[i92]
[i85]
[i80]
[c71]
[c70]
[c65]
[i76]
[i70]
122
Yuki Mitsufuji
[j34]
[i129]
123
Hassan Pezeshgi Modarres
[j9]
124
Aryan Mokhtari
[c105]
[j26]
[j24]
[i105]
[j23]
[c89]
[c83]
[c75]
[i93]
[i84]
[i81]
[c69]
[i75]
[i67]
[j16]
[j15]
[c62]
[c61]
[c60]
[c58]
[c56]
[i65]
[i60]
[i59]
[i56]
[j12]
[c48]
[c45]
[i54]
[i53]
[i51]
[i50]
[i48]
[c43]
[c41]
[c39]
[i41]
[i40]
[i26]
125
Marco Mondelli
[c103]
[i133]
[c94]
[i77]
[j18]
[j14]
[j13]
[j11]
[j10]
[c37]
[c36]
[i44]
[c32]
[c29]
[c26]
[i31]
[i28]
[j7]
[i23]
[i22]
[j5]
[j4]
[c21]
[i21]
[j3]
[c18]
[c17]
[c16]
[i20]
[i19]
[i18]
[c12]
[i13]
126
Behrad Moniri
[c115]
[c112]
[c111]
[i149]
[i143]
[c102]
[i125]
[i121]
[i116]
[c95]
[i114]
[i102]
127
Manfred Morari
[c68]
[i61]
[c51]
[c46]
[i52]
[i47]
128
Ryuhei Mori
[j1]
[c7]
[i8]
[i5]
129
Naoki Murata
[j34]
[i129]
130
Ansh Nagwekar
[c115]
[i149]
131
Sima Noorani
[i153]
[i152]
[i141]
[i136]
[i117]
132
Changdae Oh
[i155]
133
Or Ordentlich
[c38]
[i43]
134
George J. Pappas
[j36]
[i154]
[i153]
[i152]
[i151]
[j34]
[j33]
[c117]
[c116]
[c114]
[c113]
[c110]
[i150]
[i148]
[i147]
[i145]
[i142]
[i141]
[i140]
[i137]
[i136]
[j30]
[j29]
[c109]
[c106]
[c104]
[c101]
[c99]
[i132]
[i131]
[i129]
[i128]
[i126]
[i123]
[i120]
[i118]
[i117]
[c91]
[c90]
[i115]
[i113]
[i109]
[i103]
[i101]
[i99]
[c87]
[c85]
[c80]
[c79]
[c74]
[c72]
[i96]
[i92]
[i89]
[i87]
[i85]
[i80]
[i79]
[i78]
[j19]
[c71]
[c70]
[c68]
[c67]
[c66]
[c65]
[c64]
[i76]
[i74]
[i70]
[i68]
[i63]
[i61]
[c51]
[c46]
[i52]
[i49]
[i47]
[i37]
135
Seongheon Park
[i155]
136
Corina S. Pasareanu
[c90]
[i79]
137
Ramtin Pedarsani
[j32]
[j31]
[i134]
[j26]
[j24]
[c92]
[j23]
[j21]
[c83]
[c77]
[c76]
[i97]
[i93]
[i90]
[i81]
[i72]
[c62]
[c58]
[i65]
[i56]
[j12]
[c48]
[i51]
[i50]
[c41]
[i40]
[i10]
[c8]
138
Yury Polyanskiy
[c38]
[i43]
139
H. Vincent Poor
[c109]
[i132]
140
Victor M. Preciado
[i71]
[i36]
141
Hui Qian
0001
[c52]
142
Faraz Rahman
[c115]
[i149]
143
Ketan Rajawat
[j17]
144
Zachary Ravichandran
[j36]
[i151]
[c114]
[i145]
[i142]
[i118]
145
Amirhossein Reisizadeh
[j23]
[c83]
[c62]
[i56]
[j12]
[c48]
[i51]
[i50]
[c41]
[i40]
146
Joseph M. Renes
[j8]
[c20]
[i17]
147
Alejandro Ribeiro
[c84]
[c81]
[i82]
[c66]
[i68]
[c55]
[c54]
[i58]
[i57]
[c52]
148
Alexander Robey
[j36]
[i151]
[j34]
[j33]
[c114]
[c113]
[c110]
[i145]
[i142]
[i140]
[c106]
[c101]
[i131]
[i129]
[i128]
[i118]
[j25]
[c90]
[i109]
[i103]
[i101]
[i99]
[c87]
[c80]
[c79]
[c74]
[i96]
[i89]
[i87]
[i79]
[i78]
[c67]
[c66]
[c64]
[i74]
[i68]
[i63]
[i62]
[c46]
[i52]
[i49]
149
Orlando Romero
[i117]
150
Aaron Roth
0001
[c117]
[i148]
[i137]
151
Mahdi Sabbaghi
[i154]
[c116]
[i150]
[i140]
[i123]
152
Ruslan Salakhutdinov
[j34]
[i129]
153
Igal Sason
[j5]
[c16]
[i19]
154
Luca Schenato
0001
[c109]
[i132]
155
Brent Schlotfeldt
[c67]
[c51]
[i49]
[i47]
156
Bernhard Schölkopf
[c74]
[i78]
157
Vikash Sehwag
[c101]
[i128]
158
Matteo Sesia
[c107]
[i127]
159
Sanjay Shakkottai
[c105]
[i105]
[c75]
[i84]
[c69]
[i75]
160
Zebang Shen
[j24]
[c96]
[i104]
[c88]
[c84]
[c81]
[i82]
[i81]
[i73]
[j15]
[c60]
[c55]
[c54]
[i60]
[i58]
[i57]
[c52]
[c45]
[i53]
[i48]
161
Aleksandr Shevchenko
[c103]
[c94]
162
Alexander Shevchenko
[i133]
[i77]
163
Reza Shokri
[c120]
[i119]
[c96]
[i104]
164
Yaron Singer
[i150]
165
Shashank Singh
0011
[c74]
[i78]
166
Adish Singla
[c44]
[i33]
167
David Snyder
[i151]
168
Mahdi Soltanolkotabi
[c105]
[i105]
[c59]
[i64]
[c28]
[i29]
169
Dawn Song
[i155]
170
Luze Sun
[i140]
171
Yan Sun
[i135]
172
David Sutter
[j8]
[c20]
[i17]
173
Teruhiro Tagomori
[c90]
[i79]
174
Hossein Taheri
[c58]
[i65]
[c48]
[i51]
175
Fahim Tajwar
[c80]
[i89]
176
Ido Tal
[i10]
[c8]
177
Toshiyuki Tanaka
0003
[j1]
[i5]
178
Pouya Tehrani
[c2]
179
Emre Telatar
[i10]
[c8]
180
Florian Tramèr
[c101]
[i128]
181
Isidoros Tziotis
[j24]
[j23]
[c83]
[i81]
[i56]
182
Rüdiger L. Urbanke
[j14]
[j13]
[j11]
[j10]
[c38]
[c37]
[i44]
[i43]
[c32]
[c30]
[c29]
[i34]
[i31]
[j7]
[c23]
[i22]
[j5]
[j4]
[c21]
[i21]
[j3]
[j2]
[c18]
[c17]
[c16]
[c15]
[i20]
[i19]
[i18]
[j1]
[c14]
[c13]
[c12]
[i16]
[i15]
[i14]
[i13]
[i12]
[c10]
[c9]
[i11]
[i9]
[i7]
[i6]
[i5]
[i4]
[c6]
[c5]
[c4]
[i3]
[i2]
[c3]
[i1]
183
Yigit Berkay Uslu
[i107]
184
Alexander Vardy
[j18]
[c36]
[i28]
185
René Vidal
[i139]
186
Thomas Waite
[i99]
187
Han Wang
0016
[j30]
[i113]
188
Zhenfu Wang
[c84]
[i82]
[c55]
[c54]
[i58]
[i57]
189
Joshua Williams
0001
aka: Joshua Nathaniel Williams
[j34]
[i129]
190
Eric Wong
0001
[j33]
[c119]
[c113]
[c110]
[i146]
[i140]
[i138]
[c101]
[i131]
[i128]
[i103]
[i101]
191
Haoze Wu
0001
[c90]
[i79]
192
Kan Xu
[i110]
193
Anton Xue
[c115]
[i149]
[c87]
[i87]
194
Fengjun Yang
[c90]
[i79]
195
Jiayuan Ye
0001
[c96]
[i104]
196
Samuel Yeh
[i155]
197
Mengxin Yu
[c107]
[i127]
198
Mingrui Zhang
[c63]
[c61]
[c60]
[c47]
[i55]
[i54]
[i48]
[i46]
199
Thomas T. Zhang
[i149]
200
Thomas T. C. K. Zhang
[j35]
[c115]
[c98]
[i112]
[c86]
[i88]
[i66]
201
Yang Zhang
0001
[c113]
[i131]
202
Allan Zhou
[c80]
[i89]
203
Andy Zou
[i142]
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