| 2025 | ICRA | CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills Using Large Language Models. | Kanghyun Ryu, Qiayuan Liao, Zhongyu Li, Payam Delgosha, Koushil Sreenath, Negar Mehr |
| 2023 | ITW | Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks. | Payam Delgosha, Hamed Hassani, 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 | NAACL | MM-GATBT: Enriching Multimodal Representation Using Graph Attention Network. | Seung Byum Seo, Hyoungwook Nam, Payam Delgosha |
| 2021 | ISIT | A Universal Lossless Compression Method applicable to Sparse Graphs and heavy-tailed Sparse Graphs. | Payam Delgosha, Venkat Anantharam |
| 2020 | ISIT | A Universal Low Complexity Compression Algorithm for Sparse Marked Graphs. | Payam Delgosha, Venkat Anantharam |
| 2019 | AISTATS | Deep Switch Networks for Generating Discrete Data and Language. | Payam Delgosha, Naveen Goela |
| 2018 | ISIT | Distributed Compression of Graphical Data. | Payam Delgosha, Venkat Anantharam |
| 2017 | ISIT | Universal lossless compression of graphical data. | Payam Delgosha, Venkat Anantharam |
| 2016 | ISIT | High probability guarantees in repeated games: Theory and applications in information theory. | Payam Delgosha, Amin Aminzadeh Gohari, Mohammad Akbarpour |
| 2012 | ITW | Information theoretic cutting of a cake. | Payam Delgosha, Amin Aminzadeh Gohari |