Ramtin Pedarsani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
15
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations. | Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani |
| 2026 | EACL | Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal Reflection. | Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani |
| 2025 | AAAI | Inverse Reinforcement Learning by Estimating Expertise of Demonstrators. | Mark Beliaev, Ramtin Pedarsani |
| 2025 | ACL | Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models. | Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue, Mahnoosh Alizadeh, Zheng Zhang, Ramtin Pedarsani |
| 2025 | ICML | SPEX: Scaling Feature Interaction Explanations for LLMs. | Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran |
| 2025 | ISIT | The Safety-Privacy Tradeoff in Linear Bandits. | Arghavan Zibaie, Spencer Hutchinson, Ramtin Pedarsani, Mahnoosh Alizadeh |
| 2023 | ICLR | Equal Improvability: A New Fairness Notion Considering the Long-term Impact. | Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee |
| 2023 | ITW | Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks. | Payam Delgosha, Hamed Hassani, Ramtin Pedarsani |
| 2022 | AIES | A Dynamic Decision-Making Framework Promoting Long-Term Fairness. | Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani |
| 2022 | ICASSP | Adaptive Node Participation for Straggler-Resilient Federated Learning. | Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani |
| 2022 | ICML | Imitation Learning by Estimating Expertise of Demonstrators. | Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani |
| 2022 | ISIT | Efficient and Robust Classification for Sparse Attacks. | Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani |
| 2022 | ISIT | Binary Classification Under ℓ0 Attacks for General Noise Distribution. | Payam Delgosha, Hamed Hassani, Ramtin Pedarsani |
| 2022 | ISIT | Asymptotic Behavior of Adversarial Training in Binary Linear Classification. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2021 | AISTATS | Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2021 | ICASSP | Adversarially Robust Classification Based on GLRT. | Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani |
| 2021 | IJCAI | Emergent Prosociality in Multi-Agent Games Through Gifting. | Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh |
| 2021 | IROS | Cooperative Autonomous Vehicles that Sympathize with Human Drivers. | Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah |
| 2020 | AISTATS | FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. | Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani |
| 2020 | AISTATS | Sharp Asymptotics and Optimal Performance for Inference in Binary Models. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2020 | ICASSP | Polarizing Front Ends for Robust Cnns. | Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani |
| 2020 | ICML | Quantized Decentralized Stochastic Learning over Directed Graphs. | Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani |
| 2020 | ISIT | Hierarchical Coded Gradient Aggregation for Learning at the Edge. | Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr |
| 2020 | ISIT | Optimality of Least-squares for Classification in Gaussian-Mixture Models. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2020 | ISIT | Coded Computing in Unknown Environment via Online Learning. | Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr |
| 2019 | ISIT | Tree Gradient Coding. | Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr |
| 2019 | ISIT | Timely Coded Computing. | Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr |
| 2019 | MOBIHOC | Timely-Throughput Optimal Coded Computing over Cloud Networks. | Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr |
| 2018 | ICLR | Combating Adversarial Attacks Using Sparse Representations. | Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani |
| 2018 | ISIT | Sparsity-based Defense Against Adversarial Attacks on Linear Classifiers. | Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani |
| 2018 | ISIT | Coded Computing for Distributed Graph Analytics. | Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr |
| 2018 | ISIT | Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. | Chien-Sheng Yang, Amir Salman Avestimehr, Ramtin Pedarsani |
| 2018 | ITW | Sub-linear Time Stochastic Threshold Group Testing via Sparse-Graph Codes. | Amirhossein Reisizadeh, Pedro Abdalla, Ramtin Pedarsani |
| 2018 | WAFR | Altruistic Autonomy: Beating Congestion on Shared Roads. | Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh |
| 2017 | ACSSC | Multilevel group testing via sparse-graph codes. | Pedro Abdalla, Amirhossein Reisizadeh, Ramtin Pedarsani |
| 2017 | ISIT | Coded computation for multicore setups. | Kangwook Lee, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran |
| 2017 | ISIT | Coded computation over heterogeneous clusters. | Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr |
| 2016 | ISIT | Speeding up distributed machine learning using codes. | Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran |
| 2016 | ISIT | SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes. | Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran |
| 2015 | ISIT | Capacity-approaching PhaseCode for low-complexity compressive phase retrieval. | Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran |
| 2015 | ISIT | Fast and robust compressive phase retrieval with sparse-graph codes. | Dong Yin, Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran |
| 2011 | ISIT | On the construction of polar codes. | Ramtin Pedarsani, Seyed Hamed Hassani, Ido Tal, Emre Telatar |