| 2025 | ICLR | An Evolved Universal Transformer Memory. | Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang |
| 2025 | ICLR | Transformer-Squared: Self-adaptive LLMs. | Qi Sun, Edoardo Cetin, Yujin Tang |
| 2025 | ICML | Large Language Models to Diffusion Finetuning. | Edoardo Cetin, Tianyu Zhao, Yujin Tang |
| 2025 | ICML | Text-to-LoRA: Instant Transformer Adaption. | Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange |
| 2024 | ICML | Simple Ingredients for Offline Reinforcement Learning. | Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati |
| 2023 | AAAI | Learning Pessimism for Reinforcement Learning. | Edoardo Cetin, Oya eliktutan |
| 2023 | ICCV | A Simple Recipe to Meta-Learn Forward and Backward Transfer. | Edoardo Cetin, Antonio Carta, Oya eliktutan |
| 2023 | ICLR | Hyperbolic Deep Reinforcement Learning. | Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J. Hunt |
| 2023 | ICLR | Hyperbolic Deep Reinforcement Learning for Continuous Control. | Omar Salemohamed, Edoardo Cetin, Sai Rajeswar, Arnab Kumar Mondal |
| 2022 | ICML | Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. | Edoardo Cetin, Philip J. Ball, Stephen J. Roberts, Oya eliktutan |
| 2021 | CVPR | IB-DRR - Incremental Learning With Information-Back Discrete Representation Replay. | Jian Jiang, Edoardo Cetin, Oya eliktutan |
| 2021 | ICLR | Domain-Robust Visual Imitation Learning with Mutual Information Constraints. | Edoardo Cetin, Oya eliktutan |
| 2021 | ICML | Learning Routines for Effective Off-Policy Reinforcement Learning. | Edoardo Cetin, Oya eliktutan |