Ramtin Pedarsani

188 papers A* 9A 4B 22C 5Misc 5Journal 112Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal Reflection. EACL (Industry Track) Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani
2026	J	`jnl`	Deactivating Refusal Triggers: Understanding and Mitigating Overrefusal in Safety Alignment. CoRR Zhiyu Xue, Zimo Qi, Guangliang Liu, Bocheng Chen, Ramtin Pedarsani
2026	—	`conf`	Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations. EACL (Volume 1: Long Papers) Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani
2026	J	`jnl`	MMLoP: Multi-Modal Low-Rank Prompting for Efficient Vision-Language Adaptation. CoRR Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Mahnoosh Alizadeh, Ramtin Pedarsani
2025	J	`jnl`	Asymptotic Behavior of Adversarial Training in Binary Linear Classification. IEEE Trans. Neural Networks Learn. Syst. Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2025	—	`conf`	Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models. ACL (Findings) Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue, Mahnoosh Alizadeh, Zheng Zhang, Ramtin Pedarsani
2025	J	`jnl`	Decentralized Low-Rank Fine-Tuning of Large Language Models. CoRR Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani
2025	J	`jnl`	Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations. CoRR Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani
2025	J	`jnl`	Few-Shot Adversarial Low-Rank Fine-Tuning of Vision-Language Models. CoRR Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Mahnoosh Alizadeh, Ramtin Pedarsani
2025	J	`jnl`	INTERLACE: Interleaved Layer Pruning and Efficient Adaptation in Large Vision-Language Models. CoRR Parsa Madinei, Ryan Solgi, Ziqi Wen, Jonathan Skaza, Miguel P. Eckstein, Ramtin Pedarsani
2025	A*	`conf`	Inverse Reinforcement Learning by Estimating Expertise of Demonstrators. AAAI Mark Beliaev, Ramtin Pedarsani
2025	J	`jnl`	Robust Decentralized Learning With Local Updates and Gradient Tracking. IEEE Trans. Netw. Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani
2025	A*	`conf`	SPEX: Scaling Feature Interaction Explanations for LLMs. ICML Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran
2025	J	`jnl`	SPEX: Scaling Feature Interaction Explanations for LLMs. CoRR Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Kannan Ramchandran, Bin Yu
2025	B	`conf`	The Safety-Privacy Tradeoff in Linear Bandits. ISIT Arghavan Zibaie, Spencer Hutchinson, Ramtin Pedarsani, Mahnoosh Alizadeh
2025	J	`jnl`	The Safety-Privacy Tradeoff in Linear Bandits. CoRR Arghavan Zibaie, Spencer Hutchinson, Ramtin Pedarsani, Mahnoosh Alizadeh
2025	J	`jnl`	pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models. CoRR Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani
2024	J	`jnl`	Binary Classification Under ℓ0 Attacks for General Noise Distribution. IEEE Trans. Inf. Theory Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2024	J	`jnl`	Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models. CoRR Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue, Mahnoosh Alizadeh, Zheng Zhang, Ramtin Pedarsani
2024	—	`conf`	Communication-efficient and Decentralized Federated Minimax Optimization. Allerton Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani
2024	J	`jnl`	Conflict-Aware Adversarial Training. CoRR Zhiyu Xue, Haohan Wang, Yao Qin, Ramtin Pedarsani
2024	J	`jnl`	Efficient and Robust Classification for Sparse Attacks. IEEE J. Sel. Areas Inf. Theory Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2024	J	`jnl`	Generalization Properties of Adversarial Training for 𝓁 CoRR Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2024	J	`jnl`	Inverse Reinforcement Learning by Estimating Expertise of Demonstrators. CoRR Mark Beliaev, Ramtin Pedarsani
2024	J	`jnl`	Learning to Understand: Identifying Interactions via the Mobius Transform. CoRR Justin Singh Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran
2024	A*	`conf`	Learning to Understand: Identifying Interactions via the Möbius Transform. NeurIPS Justin Singh Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran
2024	J	`jnl`	Long-Term Fairness in Sequential Multi-Agent Selection With Positive Reinforcement. IEEE J. Sel. Areas Inf. Theory Bhagyashree Puranik, Ozgur Guldogan, Upamanyu Madhow, Ramtin Pedarsani
2024	J	`jnl`	Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement. CoRR Bhagyashree Puranik, Ozgur Guldogan, Upamanyu Madhow, Ramtin Pedarsani
2024	J	`jnl`	Multi-Bin Batching for Increasing LLM Inference Throughput. CoRR Ozgur Guldogan, Jackson Kunde, Kangwook Lee, Ramtin Pedarsani
2024	J	`jnl`	No Free Lunch for Defending Against Prefilling Attack by In-Context Learning. CoRR Zhiyu Xue, Guangliang Liu, Bocheng Chen, Kristen Marie Johnson, Ramtin Pedarsani
2024	J	`jnl`	Robust Decentralized Learning with Local Updates and Gradient Tracking. CoRR Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani
2024	J	`jnl`	The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning. Trans. Mach. Learn. Res. Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran
2023	A*	`conf`	Equal Improvability: A New Fairness Notion Considering the Long-term Impact. ICLR Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee
2023	B	`conf`	Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks. ITW Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2023	J	`jnl`	Pricing for Multi-modal Pickup and Delivery Problems with Heterogeneous Users. CoRR Mark Beliaev, Negar Mehr, Ramtin Pedarsani
2023	J	`jnl`	Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. IEEE Trans. Inf. Theory Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani
2023	J	`jnl`	Straggler-Resilient Personalized Federated Learning. Trans. Mach. Learn. Res. Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari
2023	J	`jnl`	The Fair Value of Data Under Heterogeneous Privacy Constraints. CoRR Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran
2022	C	`conf`	A Dynamic Decision-Making Framework Promoting Long-Term Fairness. AIES Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani
2022	Misc	`conf`	Adaptive Node Participation for Straggler-Resilient Federated Learning. ICASSP Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani
2022	J	`jnl`	An Optimal Transport Approach to Personalized Federated Learning. CoRR Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie
2022	J	`jnl`	An Optimal Transport Approach to Personalized Federated Learning. IEEE J. Sel. Areas Inf. Theory Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie
2022	—	`conf`	Anonymous Tolling for Traffic Networks with Mixed Autonomy. ECC Daniel A. Lazar, Ramtin Pedarsani
2022	B	`conf`	Asymptotic Behavior of Adversarial Training in Binary Linear Classification. ISIT Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2022	B	`conf`	Binary Classification Under ℓ0 Attacks for General Noise Distribution. ISIT Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2022	J	`jnl`	Binary Classification Under 𝓁 CoRR Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2022	J	`jnl`	CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. IEEE/ACM Trans. Netw. Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
2022	—	`conf`	Congestion-aware Bi-modal Delivery Systems Utilizing Drones. ECC Mark Beliaev, Negar Mehr, Ramtin Pedarsani
2022	B	`conf`	Efficient and Robust Classification for Sparse Attacks. ISIT Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2022	J	`jnl`	Efficient and Robust Classification for Sparse Attacks. CoRR Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2022	J	`jnl`	Equal Improvability: A New Fairness Notion Considering the Long-term Impact. CoRR Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee
2022	J	`jnl`	Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. IEEE Trans. Signal Process. Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani
2022	A*	`conf`	Imitation Learning by Estimating Expertise of Demonstrators. ICML Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani
2022	J	`jnl`	Imitation Learning by Estimating Expertise of Demonstrators. CoRR Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani
2022	J	`jnl`	Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic. CoRR Rodolfo Valiente, Behrad Toghi, Mahdi Razzaghpour, Ramtin Pedarsani, Yaser P. Fallah
2022	J	`jnl`	Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. CoRR Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani
2022	J	`jnl`	Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model. SIAM J. Math. Data Sci. Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2022	J	`jnl`	Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic. CoRR Rodolfo Valiente, Behrad Toghi, Ramtin Pedarsani, Yaser P. Fallah
2022	J	`jnl`	Social Coordination and Altruism in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah
2022	J	`jnl`	Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. IEEE J. Sel. Areas Inf. Theory Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani
2022	J	`jnl`	Straggler-Resilient Personalized Federated Learning. CoRR Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari
2021	Misc	`conf`	Adversarially Robust Classification Based on GLRT. ICASSP Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani
2021	J	`jnl`	Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic. CoRR Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah
2021	J	`jnl`	Anonymous Tolling for Traffic Networks with Mixed Autonomy. CoRR Daniel A. Lazar, Ramtin Pedarsani
2021	A	`conf`	Cooperative Autonomous Vehicles that Sympathize with Human Drivers. IROS Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah
2021	J	`jnl`	Cooperative Autonomous Vehicles that Sympathize with Human Drivers. CoRR Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah
2021	J	`jnl`	Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. IEEE/ACM Trans. Netw. Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr
2021	A*	`conf`	Emergent Prosociality in Multi-Agent Games Through Gifting. IJCAI Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2021	J	`jnl`	Emergent Prosociality in Multi-Agent Games Through Gifting. CoRR Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2021	A	`conf`	Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. AISTATS Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2021	J	`jnl`	Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. CoRR Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani
2021	J	`jnl`	Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy. IEEE Trans. Control. Netw. Syst. Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2021	J	`jnl`	Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy. CoRR Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2021	—	`conf`	Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic. ICCPS Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani
2021	C	`conf`	Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. ACC Daniel A. Lazar, Ramtin Pedarsani
2021	J	`jnl`	Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. IEEE Control. Syst. Lett. Daniel A. Lazar, Ramtin Pedarsani
2021	J	`jnl`	Robust Classification Under 𝓁 CoRR Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2021	J	`jnl`	Routing for Traffic Networks With Mixed Autonomy. IEEE Trans. Autom. Control. Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani
2021	J	`jnl`	Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models. Entropy Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2021	J	`jnl`	Social Coordination and Altruism in Autonomous Driving. CoRR Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah
2021	J	`jnl`	Towards Learning Generalizable Driving Policies from Restricted Latent Representations. CoRR Behrad Toghi, Rodolfo Valiente, Ramtin Pedarsani, Yaser P. Fallah
2020	J	`jnl`	Adversarially Robust Classification based on GLRT. CoRR Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani
2020	J	`jnl`	Asymptotic Behavior of Adversarial Training in Binary Classification. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	J	`jnl`	Coded Computing for Distributed Graph Analytics. IEEE Trans. Inf. Theory Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr
2020	B	`conf`	Coded Computing in Unknown Environment via Online Learning. ISIT Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr
2020	A	`conf`	FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. AISTATS Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani
2020	J	`jnl`	Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	B	`conf`	Hierarchical Coded Gradient Aggregation for Learning at the Edge. ISIT Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr
2020	J	`jnl`	Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic. CoRR Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani
2020	J	`jnl`	Mixed Autonomy in Ride-Sharing Networks. IEEE Trans. Control. Netw. Syst. Qinshuang Wei, Ramtin Pedarsani, Samuel Coogan
2020	J	`jnl`	Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. CoRR Daniel A. Lazar, Ramtin Pedarsani
2020	B	`conf`	Optimality of Least-squares for Classification in Gaussian-Mixture Models. ISIT Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	J	`jnl`	Polarizing Front Ends for Robust CNNs. CoRR Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani
2020	Misc	`conf`	Polarizing Front Ends for Robust Cnns. ICASSP Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani
2020	A*	`conf`	Quantized Decentralized Stochastic Learning over Directed Graphs. ICML Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2020	J	`jnl`	Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs. CoRR Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2020	A*	`conf`	Robust Federated Learning: The Case of Affine Distribution Shifts. NeurIPS Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie
2020	J	`jnl`	Robust Federated Learning: The Case of Affine Distribution Shifts. CoRR Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie
2020	A	`conf`	Sharp Asymptotics and Optimal Performance for Inference in Binary Models. AISTATS Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	J	`jnl`	Sharp Asymptotics and Optimal Performance for Inference in Binary Models. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	J	`jnl`	Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. CoRR Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani
2019	J	`jnl`	An Exact Quantized Decentralized Gradient Descent Algorithm. IEEE Trans. Signal Process. Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2019	J	`jnl`	Coded Computation Over Heterogeneous Clusters. IEEE Trans. Inf. Theory Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
2019	J	`jnl`	CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. CoRR Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
2019	J	`jnl`	Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. IEEE/ACM Trans. Netw. Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr
2019	J	`jnl`	Dynamic Pricing and Management for Electric Autonomous Mobility on Demand Systems Using Reinforcement Learning. CoRR Berkay Turan, Ramtin Pedarsani, Mahnoosh Alizadeh
2019	J	`jnl`	Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. CoRR Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr
2019	J	`jnl`	FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. CoRR Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani
2019	J	`jnl`	Learning How to Dynamically Route Autonomous Vehicles on Shared Roads. CoRR Daniel A. Lazar, Erdem Biyik, Dorsa Sadigh, Ramtin Pedarsani
2019	J	`jnl`	Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. IEEE Trans. Inf. Theory Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran
2019	J	`jnl`	Mixed Autonomy in Ride-Sharing Network. CoRR Qinshuang Wei, Ramtin Pedarsani, Samuel Coogan
2019	—	`conf`	Optimal Tolling for Heterogeneous Traffic Networks with Mixed Autonomy. CDC Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani
2019	C	`conf`	Ride-Sharing Networks with Mixed Autonomy. ACC Qinshuang Wei, Jorge Alberto Rodriguez, Ramtin Pedarsani, Samuel Coogan
2019	A*	`conf`	Robust and Communication-Efficient Collaborative Learning. NeurIPS Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2019	J	`jnl`	Robust and Communication-Efficient Collaborative Learning. CoRR Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2019	J	`jnl`	SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing Based on Sparse-Graph Codes. IEEE Trans. Signal Process. Kangwook Lee, Kabir Chandrasekher, Ramtin Pedarsani, Kannan Ramchandran
2019	—	`conf`	Sharp Guarantees for Solving Random Equations with One-Bit Information. Allerton Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2019	J	`jnl`	Sharp Guarantees for Solving Random Equations with One-Bit Information. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2019	J	`jnl`	Sub-Linear Time Support Recovery for Compressed Sensing Using Sparse-Graph Codes. IEEE Trans. Inf. Theory Xiao Li, Dong Yin, Sameer Pawar, Ramtin Pedarsani, Kannan Ramchandran
2019	—	`conf`	The Green Choice: Learning and Influencing Human Decisions on Shared Roads. CDC Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani
2019	J	`jnl`	The Green Choice: Learning and Influencing Human Decisions on Shared Roads. CoRR Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani
2019	B	`conf`	Timely Coded Computing. ISIT Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr
2019	B	`conf`	Timely-Throughput Optimal Coded Computing over Cloud Networks. MobiHoc Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr
2019	J	`jnl`	Timely-Throughput Optimal Coded Computing over Cloud Networks. CoRR Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr
2019	B	`conf`	Tree Gradient Coding. ISIT Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
2018	C	`conf`	Altruistic Autonomy: Beating Congestion on Shared Roads. WAFR Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2018	J	`jnl`	Altruistic Autonomy: Beating Congestion on Shared Roads. CoRR Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2018	B	`conf`	Coded Computing for Distributed Graph Analytics. ISIT Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr
2018	J	`jnl`	Coded Computing for Distributed Graph Analytics. CoRR Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr
2018	—	`conf`	Combating Adversarial Attacks Using Sparse Representations. ICLR (Workshop) Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani
2018	J	`jnl`	Combating Adversarial Attacks Using Sparse Representations. CoRR Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani
2018	B	`conf`	Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. ISIT Chien-Sheng Yang, Amir Salman Avestimehr, Ramtin Pedarsani
2018	J	`jnl`	Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. CoRR Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr
2018	—	`conf`	Maximizing Road Capacity Using Cars that Influence People. CDC Daniel A. Lazar, Ramtin Pedarsani, Kabir Chandrasekher, Dorsa Sadigh
2018	J	`jnl`	Maximizing Road Capacity Using Cars that Influence People. CoRR Daniel A. Lazar, Kabir Chandrasekher, Ramtin Pedarsani, Dorsa Sadigh
2018	—	`conf`	Quantized Decentralized Consensus Optimization. CDC Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2018	J	`jnl`	Quantized Decentralized Consensus Optimization. CoRR Amirhossein Reisizadeh, Aryan Mokhtari, S. Hamed Hassani, Ramtin Pedarsani
2018	J	`jnl`	Routing for Traffic Networks with Mixed Autonomy. CoRR Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani
2018	—	`conf`	Signal Control for Urban Traffic Networks with Unknown System Parameters. ITSC Negar Mehr, Jennie Lioris, Roberto Horowitz, Ramtin Pedarsani
2018	B	`conf`	Sparsity-based Defense Against Adversarial Attacks on Linear Classifiers. ISIT Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani
2018	J	`jnl`	Sparsity-based Defense against Adversarial Attacks on Linear Classifiers. CoRR Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani
2018	J	`jnl`	Speeding Up Distributed Machine Learning Using Codes. IEEE Trans. Inf. Theory Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran
2018	B	`conf`	Sub-linear Time Stochastic Threshold Group Testing via Sparse-Graph Codes. ITW Amirhossein Reisizadeh, Pedro Abdalla, Ramtin Pedarsani
2018	C	`conf`	The Price of Anarchy for Transportation Networks with Mixed Autonomy. ACC Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani
2018	J	`jnl`	Toward Robust Neural Networks via Sparsification. CoRR Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani
2017	—	`conf`	Asynchronous and noncoherent neighbor discovery for the IoT using sparse-graph codes. ICC Kabir Chandrasekher, Kangwook Lee, Peter Kairouz, Ramtin Pedarsani, Kannan Ramchandran
2017	—	`conf`	Capacity modeling and routing for traffic networks with mixed autonomy. CDC Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani
2017	J	`jnl`	Coded Computation over Heterogeneous Clusters. CoRR Amirhossein Reisizadehmobarakeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr
2017	B	`conf`	Coded computation for multicore setups. ISIT Kangwook Lee, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran
2017	B	`conf`	Coded computation over heterogeneous clusters. ISIT Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr
2017	—	`conf`	Joint perimeter and signal control of urban traffic via network utility maximization. ITSC Negar Mehr, Jennie Lioris, Roberto Horowitz, Ramtin Pedarsani
2017	J	`jnl`	Latency Analysis of Coded Computation Schemes over Wireless Networks. CoRR Amirhossein Reisizadeh, Ramtin Pedarsani
2017	—	`conf`	Latency analysis of coded computation schemes over wireless networks. Allerton Amirhossein Reisizadeh, Ramtin Pedarsani
2017	J	`jnl`	Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. CoRR Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran
2017	—	`conf`	Learning mixtures of sparse linear regressions using sparse graph codes. Allerton Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran
2017	—	`conf`	Low-complexity ramp metering for freeway congestion control via network utility maximization. CDC Negar Mehr, Roberto Horowitz, Ramtin Pedarsani
2017	Misc	`conf`	Multilevel group testing via sparse-graph codes. ACSSC Pedro Abdalla, Amirhossein Reisizadeh, Ramtin Pedarsani
2017	J	`jnl`	On Scheduling Redundant Requests With Cancellation Overheads. IEEE/ACM Trans. Netw. Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran
2017	J	`jnl`	PhaseCode: Fast and Efficient Compressive Phase Retrieval Based on Sparse-Graph Codes. IEEE Trans. Inf. Theory Ramtin Pedarsani, Dong Yin, Kangwook Lee, Kannan Ramchandran
2016	—	`conf`	Compressed sensing using sparse-graph codes for the continuous-alphabet setting. Allerton Dong Yin, Ramtin Pedarsani, Xiao Li, Kannan Ramchandran
2016	J	`jnl`	Fast and Robust Compressive Phase Retrieval with Sparse-Graph Codes. CoRR Dong Yin, Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran
2016	J	`jnl`	Online Coded Caching. IEEE/ACM Trans. Netw. Ramtin Pedarsani, Mohammad Ali Maddah-Ali, Urs Niesen
2016	—	`conf`	Queue-length estimation using real-time traffic data. ITSC Zahra Amini, Ramtin Pedarsani, Alexander Skabardonis, Pravin Varaiya
2016	J	`jnl`	Robust Scheduling for Flexible Processing Networks. CoRR Ramtin Pedarsani, Jean C. Walrand, Yuan Zhong
2016	B	`conf`	SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes. ISIT Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran
2016	B	`conf`	Speeding up distributed machine learning using codes. ISIT Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran
2016	J	`jnl`	Stability of multiclass queueing networks under longest-queue and longest-dominating-queue scheduling. J. Appl. Probab. Ramtin Pedarsani, Jean C. Walrand
2015	B	`conf`	Capacity-approaching PhaseCode for low-complexity compressive phase retrieval. ISIT Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran
2015	B	`conf`	Fast and robust compressive phase retrieval with sparse-graph codes. ISIT Dong Yin, Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran
2015	—	`conf`	On scheduling redundant requests with cancellation overheads. Allerton Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran
2015	J	`jnl`	On the DMT Optimality of Time-Varying Distributed Rotation Over Slow Fading Relay Channels. IEEE Trans. Wirel. Commun. Ramtin Pedarsani, Olivier Lévêque, Sheng Yang
2015	—	`—`	Robust Scheduling for Queueing Networks. Ramtin Pedarsani
2015	J	`jnl`	SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing based on Sparse-Graph Codes. CoRR Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran
2015	—	`conf`	Sparse covariance estimation based on sparse-graph codes. Allerton Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran
2015	J	`jnl`	Speeding Up Distributed Machine Learning Using Codes. CoRR Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran
2014	J	`jnl`	Capacity-Approaching PhaseCode for Low-Complexity Compressive Phase Retrieval. CoRR Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran
2014	—	`conf`	Online coded caching. ICC Ramtin Pedarsani, Mohammad Ali Maddah-Ali, Urs Niesen
2014	J	`jnl`	PhaseCode: Fast and Efficient Compressive Phase Retrieval based on Sparse-Graph-Codes. CoRR Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran
2014	—	`conf`	PhaseCode: Fast and efficient compressive phase retrieval based on sparse-graph codes. Allerton Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran
2014	Misc	`conf`	Robust scheduling and congestion control for flexible queueing networks. ICNC Ramtin Pedarsani, Jean C. Walrand, Yuan Zhong
2014	—	`conf`	Robust scheduling in a flexible fork-join network. CDC Ramtin Pedarsani, Jean C. Walrand, Yuan Zhong
2014	—	`conf`	Scheduling tasks with precedence constraints on multiple servers. Allerton Ramtin Pedarsani, Jean C. Walrand, Yuan Zhong
2013	J	`jnl`	Online Coded Caching. CoRR Ramtin Pedarsani, Mohammad Ali Maddah-Ali, Urs Niesen
2012	J	`jnl`	On the Construction of Polar Codes CoRR Ramtin Pedarsani, Seyed Hamed Hassani, Ido Tal, Emre Telatar
2012	J	`jnl`	Stability of Lu-Kumar Networks under Longest-Queue and Longest-Dominating-Queue Scheduling CoRR Ramtin Pedarsani, Jean C. Walrand
2011	B	`conf`	On the construction of polar codes. ISIT Ramtin Pedarsani, Seyed Hamed Hassani, Ido Tal, Emre Telatar
2010	—	`conf`	Flip-and-forward achieves the optimal diversity-multiplexing tradeoff for the two-hop MIMO relay channel, with two relay antennas. CrownCom Ramtin Pedarsani, Olivier Lévêque, Sheng Yang
2010	—	`conf`	On the DMT optimality of the rotate-and-forward scheme in a two-hop MIMO relay channel. Allerton Ramtin Pedarsani, Olivier Lévêque, Sheng Yang