Publications

Anokhin, Ivan, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, and Samira Ebrahimi Kahou. 2025. “Handling Delay in Reinforcement Learning Caused by Parallel Computations of Neurons.” In The Thirteenth International Conference on Learning Representations.

Azimi, Rambod, Rishav Rishav, Marek Teichmann, and Samira Ebrahimi Kahou. 2024. “KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation.” In NeurIPS ENLSP Workshop. https://arxiv.org/abs/2410.20777.

Nath, Somjit, Rishav Rishav, Gopeshh Subbaraj, Derek Nowrouzezahrai, and Samira Ebrahimi Kahou. 2025. “Behavioral Suite Analysis of Self-Supervised Learning in Atari.” In Reinforcement Learning and Video Games Workshop @ RLC 2025.

Rishav, Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, and Didier Stricker. 2020. “DeepLiDARFlow: A Deep Learning Architecture for Scene Flow Estimation Using Monocular Camera and Sparse LiDAR.” In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 10460–67. https://doi.org/10.1109/IROS45743.2020.9341077.

Rishav, Rishav, Somjit Nath, Vincent Michalski, and Samira Ebrahimi Kahou. 2025. “Behaviour Discovery and Attribution for Explainable Reinforcement Learning.” In Transactions on Machine Learning Research. https://arxiv.org/abs/2503.14973.

Rishav, Rishav, René Schuster, Ramy Battrawy, Oliver Wasenmüller, and Didier Stricker. 2021. “ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching.” In 25th International Conference on Pattern Recognition (ICPR), 180–87. https://doi.org/10.1109/ICPR48806.2021.9412750.