Channel coding at low capacity M Fereydounian, MV Jamali, H Hassani, H Mahdavifar 2019 IEEE Information Theory Workshop (ITW), 1-5, 2019 | 25* | 2019 |
Safe learning under uncertain objectives and constraints M Fereydounian, Z Shen, A Mokhtari, A Karbasi, H Hassani arXiv preprint arXiv:2006.13326, 2020 | 11 | 2020 |
Non-asymptotic coded slotted ALOHA M Fereydounian, X Chen, H Hassani, SS Bidokhti 2019 IEEE International Symposium on Information Theory (ISIT), 111-115, 2019 | 9 | 2019 |
The exact class of graph functions generated by graph neural networks M Fereydounian, H Hassani, J Dadashkarimi, A Karbasi arXiv preprint arXiv:2202.08833, 2022 | 8 | 2022 |
Low-complexity decoding of a class of Reed-Muller subcodes for low-capacity channels MV Jamali, M Fereydounian, H Mahdavifar, H Hassani ICC 2022-IEEE International Conference on Communications, 123-128, 2022 | 7 | 2022 |
Provably private distributed averaging consensus: An information-theoretic approach M Fereydounian, A Mokhtari, R Pedarsani, H Hassani IEEE Transactions on Information Theory, 2023 | 3 | 2023 |
What Functions Can Graph Neural Networks Generate? M Fereydounian, H Hassani, A Karbasi arXiv preprint arXiv:2202.08833, 2022 | 3 | 2022 |
Learning, Privacy, and Reliable Communication in Large Data Networks M Fereydounian University of Texas at Austin, 2023 | | 2023 |
Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels M Vahid Jamali, M Fereydounian, H Mahdavifar, H Hassani arXiv e-prints, arXiv: 2202.03654, 2022 | | 2022 |
Twin Edge Coloring of Graphs M Fereydounian Sharif University of Technology, 2016 | | 2016 |
It’s Over 400: Cooperative reinforcement learning through self-play H Elzayn, M Fereydounian, M Hayhoe, H Kumar, S Sun, G Simulator, ... | | |
Hidden Information, Teamwork, and Prediction in Trick-Taking Card Games H Elzayn, M Hayhoe, H Kumar, M Fereydounian | | |