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Towards Learning Generalizable Driving Policies from Restricted Latent Representations


Nov 05, 2021
Behrad Toghi, Rodolfo Valiente, Ramtin Pedarsani, Yaser P. Fallah

* Submitted to IEEE Transactions on Robotics 

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Social Coordination and Altruism in Autonomous Driving


Jul 20, 2021
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah

* This paper is submitted to IEEE Transactions on Intelligent Vehicles on June 2021 

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Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic


Jul 12, 2021
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah

* Accepted to 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) - Workshop on Autonomous Driving: Perception, Prediction and Planning 

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Social Coordination through Altruism in Autonomous Driving


Jul 06, 2021
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah

* This paper is submitted to IEEE Transactions on Intelligent Transportation Systems on June 2021 

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Cooperative Autonomous Vehicles that Sympathize with Human Drivers


Jul 02, 2021
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah

* Accepted in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

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Emergent Prosociality in Multi-Agent Games Through Gifting


May 13, 2021
Woodrow Z. Wang, Mark Beliaev, Erdem Bıyık, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh

* 9 pages, 6 figures, IJCAI 2021 

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Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model


Apr 05, 2021
Payam Delgosha, Hamed Hassani, Ramtin Pedarsani


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Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity


Dec 28, 2020
Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani


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Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic


Dec 28, 2020
Mark Beliaev, Erdem Bıyık, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani

* To appear at ICCPS 2021. 11 pages, 4 figures 

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Adversarially Robust Classification based on GLRT


Nov 16, 2020
Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani

* Submitted to the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021 

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Asymptotic Behavior of Adversarial Training in Binary Classification


Oct 26, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis


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Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions


Jul 05, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis


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Robust Federated Learning: The Case of Affine Distribution Shifts


Jun 16, 2020
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie


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Sharp Asymptotics and Optimal Performance for Inference in Binary Models


Feb 26, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis


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Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs


Feb 25, 2020
Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani


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Polarizing Front Ends for Robust CNNs


Feb 22, 2020
Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani

* Published in 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) 

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FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization


Oct 12, 2019
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani


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Learning How to Dynamically Route Autonomous Vehicles on Shared Roads


Sep 09, 2019
Daniel A. Lazar, Erdem Bıyık, Dorsa Sadigh, Ramtin Pedarsani


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Sharp Guarantees for Solving Random Equations with One-Bit Information


Aug 12, 2019
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis

* 12 pages, 4 figures 

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Robust and Communication-Efficient Collaborative Learning


Jul 24, 2019
Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani


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The Green Choice: Learning and Influencing Human Decisions on Shared Roads


Apr 10, 2019
Erdem Bıyık, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani

* Submitted to CDC 2019 

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CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning


Feb 06, 2019
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr


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Altruistic Autonomy: Beating Congestion on Shared Roads


Oct 29, 2018
Erdem Bıyık, Daniel Lazar, Ramtin Pedarsani, Dorsa Sadigh

* Accepted to Workshop on the Algorithmic Foundations of Robotics (WAFR) 2018 

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Toward Robust Neural Networks via Sparsification


Oct 24, 2018
Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani


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Maximizing Road Capacity Using Cars that Influence People


Oct 09, 2018
Daniel A. Lazar, Kabir Chandrasekher, Ramtin Pedarsani, Dorsa Sadigh

* This is the extended version of the paper accepted to IEEE Conference on Decision and Control (CDC) 2018 

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