On the DMT optimality of the rotate-and-forward scheme in a two-hop MIMO relay channel. - Ramtin Pedarsani; Olivier Lévêque; Sheng Yang 001 (Allerton, 2010)

Flip-and-forward achieves the optimal diversity-multiplexing tradeoff for the two-hop MIMO relay channel, with two relay antennas. - Ramtin Pedarsani; Olivier Lévêque; Sheng Yang 001 (CrownCom, 2010)

On the construction of polar codes. - Ramtin Pedarsani; Seyed Hamed Hassani; Ido Tal; Emre Telatar (ISIT, 2011)

Stability of Lu-Kumar Networks under Longest-Queue and Longest-Dominating-Queue Scheduling - Ramtin Pedarsani; Jean C. Walrand (CoRR, 2012)

PhaseCode: Fast and efficient compressive phase retrieval based on sparse-graph codes. - Ramtin Pedarsani; Kangwook Lee 001; Kannan Ramchandran (Allerton, 2014)

Scheduling tasks with precedence constraints on multiple servers. - Ramtin Pedarsani; Jean C. Walrand; Yuan Zhong 001 (Allerton, 2014)

Robust scheduling in a flexible fork-join network. - Ramtin Pedarsani; Jean C. Walrand; Yuan Zhong 001 (CDC, 2014)

Online coded caching. - Ramtin Pedarsani; Mohammad Ali Maddah-Ali; Urs Niesen (ICC, 2014)

Robust scheduling and congestion control for flexible queueing networks. - Ramtin Pedarsani; Jean C. Walrand; Yuan Zhong 001 (ICNC, 2014)

On scheduling redundant requests with cancellation overheads. - Kangwook Lee 001; Ramtin Pedarsani; Kannan Ramchandran (Allerton, 2015)

Sparse covariance estimation based on sparse-graph codes. - Ramtin Pedarsani; Kangwook Lee 001; Kannan Ramchandran (Allerton, 2015)

Capacity-approaching PhaseCode for low-complexity compressive phase retrieval. - Ramtin Pedarsani; Kangwook Lee 001; Kannan Ramchandran (ISIT, 2015)

Fast and robust compressive phase retrieval with sparse-graph codes. - Dong Yin; Kangwook Lee 001; Ramtin Pedarsani; Kannan Ramchandran (ISIT, 2015)

On the DMT Optimality of Time-Varying Distributed Rotation Over Slow Fading Relay Channels. - Ramtin Pedarsani; Olivier Lévêque; Sheng Yang 001 (IEEE Trans. Wirel. Commun., 2015)

Robust Scheduling for Queueing Networks. - Ramtin Pedarsani (2015)

Compressed sensing using sparse-graph codes for the continuous-alphabet setting. - Dong Yin; Ramtin Pedarsani; Xiao Li 022; Kannan Ramchandran (Allerton, 2016)

Speeding up distributed machine learning using codes. - Kangwook Lee 001; Maximilian Lam; Ramtin Pedarsani; Dimitris S. Papailiopoulos; Kannan Ramchandran (ISIT, 2016)

SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes. - Kangwook Lee 001; Ramtin Pedarsani; Kannan Ramchandran (ISIT, 2016)

Queue-length estimation using real-time traffic data. - Zahra Amini; Ramtin Pedarsani; Alexander Skabardonis; Pravin Varaiya (ITSC, 2016)

Robust Scheduling for Flexible Processing Networks. - Ramtin Pedarsani; Jean C. Walrand; Yuan Zhong 001 (CoRR, 2016)

Stability of multiclass queueing networks under longest-queue and longest-dominating-queue scheduling. - Ramtin Pedarsani; Jean C. Walrand (J. Appl. Probab., 2016)

Multilevel group testing via sparse-graph codes. - Pedro Abdalla; Amirhossein Reisizadeh; Ramtin Pedarsani (ACSSC, 2017)

Latency analysis of coded computation schemes over wireless networks. - Amirhossein Reisizadeh; Ramtin Pedarsani (Allerton, 2017)

Learning mixtures of sparse linear regressions using sparse graph codes. - Dong Yin; Ramtin Pedarsani; Yudong Chen 001; Kannan Ramchandran (Allerton, 2017)

Capacity modeling and routing for traffic networks with mixed autonomy. - Daniel A. Lazar; Samuel Coogan 001; Ramtin Pedarsani (CDC, 2017)

Low-complexity ramp metering for freeway congestion control via network utility maximization. - Negar Mehr; Roberto Horowitz; Ramtin Pedarsani (CDC, 2017)

Asynchronous and noncoherent neighbor discovery for the IoT using sparse-graph codes. - Kabir Chandrasekher; Kangwook Lee 001; Peter Kairouz; Ramtin Pedarsani; Kannan Ramchandran (ICC, 2017)

Coded computation for multicore setups. - Kangwook Lee 001; Ramtin Pedarsani; Dimitris S. Papailiopoulos; Kannan Ramchandran (ISIT, 2017)

Coded computation over heterogeneous clusters. - Amirhossein Reisizadeh; Saurav Prakash; Ramtin Pedarsani; Salman Avestimehr (ISIT, 2017)

Joint perimeter and signal control of urban traffic via network utility maximization. - Negar Mehr; Jennie Lioris; Roberto Horowitz; Ramtin Pedarsani (ITSC, 2017)

PhaseCode: Fast and Efficient Compressive Phase Retrieval Based on Sparse-Graph Codes. - Ramtin Pedarsani; Dong Yin; Kangwook Lee 001; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2017)

The Price of Anarchy for Transportation Networks with Mixed Autonomy. - Daniel A. Lazar; Samuel Coogan 001; Ramtin Pedarsani (ACC, 2018)

Maximizing Road Capacity Using Cars that Influence People. - Daniel A. Lazar; Ramtin Pedarsani; Kabir Chandrasekher; Dorsa Sadigh (CDC, 2018)

Quantized Decentralized Consensus Optimization. - Amirhossein Reisizadeh; Aryan Mokhtari; Hamed Hassani; Ramtin Pedarsani (CDC, 2018)

Combating Adversarial Attacks Using Sparse Representations. - Soorya Gopalakrishnan; Zhinus Marzi; Upamanyu Madhow; Ramtin Pedarsani (ICLR (Workshop), 2018)

Sparsity-based Defense Against Adversarial Attacks on Linear Classifiers. - Zhinus Marzi; Soorya Gopalakrishnan; Upamanyu Madhow; Ramtin Pedarsani (ISIT, 2018)

Coded Computing for Distributed Graph Analytics. - Saurav Prakash; Amirhossein Reisizadeh; Ramtin Pedarsani; Amir Salman Avestimehr (ISIT, 2018)

Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. - Chien-Sheng Yang; Amir Salman Avestimehr; Ramtin Pedarsani (ISIT, 2018)

Signal Control for Urban Traffic Networks with Unknown System Parameters. - Negar Mehr; Jennie Lioris; Roberto Horowitz; Ramtin Pedarsani (ITSC, 2018)

Sub-linear Time Stochastic Threshold Group Testing via Sparse-Graph Codes. - Amirhossein Reisizadeh; Pedro Abdalla; Ramtin Pedarsani (ITW, 2018)

Altruistic Autonomy: Beating Congestion on Shared Roads. - Erdem Biyik; Daniel A. Lazar; Ramtin Pedarsani; Dorsa Sadigh (WAFR, 2018)

Toward Robust Neural Networks via Sparsification. - Soorya Gopalakrishnan; Zhinus Marzi; Upamanyu Madhow; Ramtin Pedarsani (CoRR, 2018)

Sharp Guarantees for Solving Random Equations with One-Bit Information. - Hossein Taheri; Ramtin Pedarsani; Christos Thrampoulidis (Allerton, 2019)

Ride-Sharing Networks with Mixed Autonomy. - Qinshuang Wei; Jorge Alberto Rodriguez; Ramtin Pedarsani; Samuel Coogan 001 (ACC, 2019)

The Green Choice: Learning and Influencing Human Decisions on Shared Roads. - Erdem Biyik; Daniel A. Lazar; Dorsa Sadigh; Ramtin Pedarsani (CDC, 2019)

Optimal Tolling for Heterogeneous Traffic Networks with Mixed Autonomy. - Daniel A. Lazar; Samuel Coogan 001; Ramtin Pedarsani (CDC, 2019)

Tree Gradient Coding. - Amirhossein Reisizadeh; Saurav Prakash; Ramtin Pedarsani; Amir Salman Avestimehr (ISIT, 2019)

Timely Coded Computing. - Chien-Sheng Yang; Ramtin Pedarsani; Amir Salman Avestimehr (ISIT, 2019)

Timely-Throughput Optimal Coded Computing over Cloud Networks. - Chien-Sheng Yang; Ramtin Pedarsani; Amir Salman Avestimehr (MobiHoc, 2019)

Robust and Communication-Efficient Collaborative Learning. - Amirhossein Reisizadeh; Hossein Taheri; Aryan Mokhtari; Hamed Hassani; Ramtin Pedarsani (NeurIPS, 2019)

Mixed Autonomy in Ride-Sharing Network. - Qinshuang Wei; Ramtin Pedarsani; Samuel Coogan 001 (CoRR, 2019)

Learning How to Dynamically Route Autonomous Vehicles on Shared Roads. - Daniel A. Lazar; Erdem Biyik; Dorsa Sadigh; Ramtin Pedarsani (CoRR, 2019)

Dynamic Pricing and Management for Electric Autonomous Mobility on Demand Systems Using Reinforcement Learning. - Berkay Turan; Ramtin Pedarsani; Mahnoosh Alizadeh (CoRR, 2019)

Sub-Linear Time Support Recovery for Compressed Sensing Using Sparse-Graph Codes. - Xiao Li 022; Dong Yin; Sameer Pawar; Ramtin Pedarsani; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2019)

SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing Based on Sparse-Graph Codes. - Kangwook Lee 001; Kabir Chandrasekher; Ramtin Pedarsani; Kannan Ramchandran (IEEE Trans. Signal Process., 2019)

An Exact Quantized Decentralized Gradient Descent Algorithm. - Amirhossein Reisizadeh; Aryan Mokhtari; Hamed Hassani; Ramtin Pedarsani (IEEE Trans. Signal Process., 2019)

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. - Amirhossein Reisizadeh; Aryan Mokhtari; Hamed Hassani; Ali Jadbabaie; Ramtin Pedarsani (AISTATS, 2020)

Sharp Asymptotics and Optimal Performance for Inference in Binary Models. - Hossein Taheri; Ramtin Pedarsani; Christos Thrampoulidis (AISTATS, 2020)

Polarizing Front Ends for Robust Cnns. - Can Bakiskan; Soorya Gopalakrishnan; Metehan Cekic; Upamanyu Madhow; Ramtin Pedarsani (ICASSP, 2020)

Quantized Decentralized Stochastic Learning over Directed Graphs. - Hossein Taheri; Aryan Mokhtari; Hamed Hassani; Ramtin Pedarsani (ICML, 2020)

Hierarchical Coded Gradient Aggregation for Learning at the Edge. - Saurav Prakash; Amirhossein Reisizadeh; Ramtin Pedarsani; Amir Salman Avestimehr (ISIT, 2020)

Optimality of Least-squares for Classification in Gaussian-Mixture Models. - Hossein Taheri; Ramtin Pedarsani; Christos Thrampoulidis (ISIT, 2020)

Coded Computing in Unknown Environment via Online Learning. - Chien-Sheng Yang; Ramtin Pedarsani; Amir Salman Avestimehr (ISIT, 2020)

Robust Federated Learning: The Case of Affine Distribution Shifts. - Amirhossein Reisizadeh; Farzan Farnia; Ramtin Pedarsani; Ali Jadbabaie (NeurIPS, 2020)

Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs. - Hossein Taheri; Aryan Mokhtari; Hamed Hassani; Ramtin Pedarsani (CoRR, 2020)

Asymptotic Behavior of Adversarial Training in Binary Classification. - Hossein Taheri; Ramtin Pedarsani; Christos Thrampoulidis (CoRR, 2020)

Mixed Autonomy in Ride-Sharing Networks. - Qinshuang Wei; Ramtin Pedarsani; Samuel Coogan 001 (IEEE Trans. Control. Netw. Syst., 2020)

Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. - Hossein Taheri; Ramtin Pedarsani; Christos Thrampoulidis (AISTATS, 2021)

Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. - Daniel A. Lazar; Ramtin Pedarsani (ACC, 2021)

Adversarially Robust Classification Based on GLRT. - Bhagyashree Puranik; Upamanyu Madhow; Ramtin Pedarsani (ICASSP, 2021)

Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic. - Mark Beliaev; Erdem Biyik; Daniel A. Lazar; Woodrow Z. Wang; Dorsa Sadigh; Ramtin Pedarsani (ICCPS, 2021)

Emergent Prosociality in Multi-Agent Games Through Gifting. - Woodrow Z. Wang; Mark Beliaev; Erdem Biyik; Daniel A. Lazar; Ramtin Pedarsani; Dorsa Sadigh (IJCAI, 2021)

Cooperative Autonomous Vehicles that Sympathize with Human Drivers. - Behrad Toghi; Rodolfo Valiente; Dorsa Sadigh; Ramtin Pedarsani; Yaser P. Fallah (IROS, 2021)

Robust Classification Under 𝓁0 Attack for the Gaussian Mixture Model. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (CoRR, 2021)

Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic. - Behrad Toghi; Rodolfo Valiente; Dorsa Sadigh; Ramtin Pedarsani; Yaser P. Fallah (CoRR, 2021)

Towards Learning Generalizable Driving Policies from Restricted Latent Representations. - Behrad Toghi; Rodolfo Valiente; Ramtin Pedarsani; Yaser P. Fallah (CoRR, 2021)

Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models. - Hossein Taheri; Ramtin Pedarsani; Christos Thrampoulidis (Entropy, 2021)

Routing for Traffic Networks With Mixed Autonomy. - Daniel A. Lazar; Samuel Coogan 001; Ramtin Pedarsani (IEEE Trans. Autom. Control., 2021)

Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy. - Erdem Biyik; Daniel A. Lazar; Ramtin Pedarsani; Dorsa Sadigh (IEEE Trans. Control. Netw. Syst., 2021)

Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. - Chien-Sheng Yang; Ramtin Pedarsani; Amir Salman Avestimehr (IEEE/ACM Trans. Netw., 2021)

A Dynamic Decision-Making Framework Promoting Long-Term Fairness. - Bhagyashree Puranik; Upamanyu Madhow; Ramtin Pedarsani (AIES, 2022)

Congestion-aware Bi-modal Delivery Systems Utilizing Drones. - Mark Beliaev; Negar Mehr; Ramtin Pedarsani (ECC, 2022)

Anonymous Tolling for Traffic Networks with Mixed Autonomy. - Daniel A. Lazar; Ramtin Pedarsani (ECC, 2022)

Adaptive Node Participation for Straggler-Resilient Federated Learning. - Amirhossein Reisizadeh; Isidoros Tziotis; Hamed Hassani; Aryan Mokhtari; Ramtin Pedarsani (ICASSP, 2022)

Imitation Learning by Estimating Expertise of Demonstrators. - Mark Beliaev; Andy Shih; Stefano Ermon; Dorsa Sadigh; Ramtin Pedarsani (ICML, 2022)

Efficient and Robust Classification for Sparse Attacks. - Mark Beliaev; Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (ISIT, 2022)

Binary Classification Under ℓ0 Attacks for General Noise Distribution. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (ISIT, 2022)

Asymptotic Behavior of Adversarial Training in Binary Linear Classification. - Hossein Taheri; Ramtin Pedarsani; Christos Thrampoulidis (ISIT, 2022)

Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic. - Rodolfo Valiente; Behrad Toghi; Ramtin Pedarsani; Yaser P. Fallah (CoRR, 2022)

Binary Classification Under 𝓁0 Attacks for General Noise Distribution. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (CoRR, 2022)

Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic. - Rodolfo Valiente; Behrad Toghi; Mahdi Razzaghpour; Ramtin Pedarsani; Yaser P. Fallah (CoRR, 2022)

An Optimal Transport Approach to Personalized Federated Learning. - Farzan Farnia; Amirhossein Reisizadeh; Ramtin Pedarsani; Ali Jadbabaie (IEEE J. Sel. Areas Inf. Theory, 2022)

Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. - Amirhossein Reisizadeh; Isidoros Tziotis; Hamed Hassani; Aryan Mokhtari; Ramtin Pedarsani (IEEE J. Sel. Areas Inf. Theory, 2022)

Robust Classification Under $ ell_0$ Attack for the Gaussian Mixture Model. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (SIAM J. Math. Data Sci., 2022)

Social Coordination and Altruism in Autonomous Driving. - Behrad Toghi; Rodolfo Valiente; Dorsa Sadigh; Ramtin Pedarsani; Yaser P. Fallah (IEEE Trans. Intell. Transp. Syst., 2022)

CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. - Amirhossein Reisizadeh; Saurav Prakash; Ramtin Pedarsani; Amir Salman Avestimehr (IEEE/ACM Trans. Netw., 2022)

Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. - Bhagyashree Puranik; Upamanyu Madhow; Ramtin Pedarsani (IEEE Trans. Signal Process., 2022)

Equal Improvability: A New Fairness Notion Considering the Long-term Impact. - Ozgur Guldogan; Yuchen Zeng; Jy-yong Sohn; Ramtin Pedarsani; Kangwook Lee 001 (ICLR, 2023)

Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (ITW, 2023)

The Fair Value of Data Under Heterogeneous Privacy Constraints. - Justin Singh Kang; Ramtin Pedarsani; Kannan Ramchandran (CoRR, 2023)

Pricing for Multi-modal Pickup and Delivery Problems with Heterogeneous Users. - Mark Beliaev; Negar Mehr; Ramtin Pedarsani (CoRR, 2023)

Straggler-Resilient Personalized Federated Learning. - Isidoros Tziotis; Zebang Shen; Ramtin Pedarsani; Hamed Hassani; Aryan Mokhtari (Trans. Mach. Learn. Res., 2023)

Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. - Mohammad Fereydounian; Aryan Mokhtari; Ramtin Pedarsani; Hamed Hassani (IEEE Trans. Inf. Theory, 2023)

Communication-efficient and Decentralized Federated Minimax Optimization. - Sajjad Ghiasvand; Amirhossein Reisizadeh; Mahnoosh Alizadeh; Ramtin Pedarsani (Allerton, 2024)

Learning to Understand: Identifying Interactions via the Möbius Transform. - Justin Singh Kang; Yigit Efe Erginbas; Landon Butler; Ramtin Pedarsani; Kannan Ramchandran (NeurIPS, 2024)

Generalization Properties of Adversarial Training for 𝓁0-Bounded Adversarial Attacks. - Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (CoRR, 2024)

Conflict-Aware Adversarial Training. - Zhiyu Xue; Haohan Wang; Yao Qin 001; Ramtin Pedarsani (CoRR, 2024)

Multi-Bin Batching for Increasing LLM Inference Throughput. - Ozgur Guldogan; Jackson Kunde; Kangwook Lee 001; Ramtin Pedarsani (CoRR, 2024)

No Free Lunch for Defending Against Prefilling Attack by In-Context Learning. - Zhiyu Xue; Guangliang Liu; Bocheng Chen; Kristen Marie Johnson; Ramtin Pedarsani (CoRR, 2024)

Long-Term Fairness in Sequential Multi-Agent Selection With Positive Reinforcement. - Bhagyashree Puranik; Ozgur Guldogan; Upamanyu Madhow; Ramtin Pedarsani (IEEE J. Sel. Areas Inf. Theory, 2024)

The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning. - Justin Singh Kang; Ramtin Pedarsani; Kannan Ramchandran (Trans. Mach. Learn. Res., 2024)

Inverse Reinforcement Learning by Estimating Expertise of Demonstrators. - Mark Beliaev; Ramtin Pedarsani (AAAI, 2025)

Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models. - Sajjad Ghiasvand; Yifan Yang; Zhiyu Xue; Mahnoosh Alizadeh; Zheng Zhang; Ramtin Pedarsani (ACL (Findings), 2025)

The Safety-Privacy Tradeoff in Linear Bandits. - Arghavan Zibaie; Spencer Hutchinson; Ramtin Pedarsani; Mahnoosh Alizadeh (ISIT, 2025)

Robust Decentralized Learning With Local Updates and Gradient Tracking. - Sajjad Ghiasvand; Amirhossein Reisizadeh; Mahnoosh Alizadeh; Ramtin Pedarsani (IEEE Trans. Netw., 2025)

Decentralized Low-Rank Fine-Tuning of Large Language Models. - Sajjad Ghiasvand; Mahnoosh Alizadeh; Ramtin Pedarsani (CoRR, 2025)

SPEX: Scaling Feature Interaction Explanations for LLMs. - Justin Singh Kang; Landon Butler; Abhineet Agarwal; Yigit Efe Erginbas; Ramtin Pedarsani; Kannan Ramchandran; Bin Yu 001 (CoRR, 2025)

Few-Shot Adversarial Low-Rank Fine-Tuning of Vision-Language Models. - Sajjad Ghiasvand; Haniyeh Ehsani Oskouie; Mahnoosh Alizadeh; Ramtin Pedarsani (CoRR, 2025)

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations. - Zhiyu Xue; Reza Abbasi-Asl; Ramtin Pedarsani (CoRR, 2025)

pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models. - Sajjad Ghiasvand; Mahnoosh Alizadeh; Ramtin Pedarsani (CoRR, 2025)