| May 3, 2026 | 🎉 Paper “Kalman Linear Attention: Parallel Bayesian Filters For Efficient Language Modelling” accepted at the International Conference on Machine Learning 2026. Joint work with Cameron, Aidan, Andras, Elliot and Amos. arXiv |
| Feb 11, 2026 | New preprint on Parallel Bayesian Filters For Efficient Language Modelling is out! Also accepted at the 1st Workshop on Epistemic Intelligence in Machine Learning (EIML) at EurIPS 2025. |
| Oct 11, 2024 | Our new paper on Adaptive World Models and Non-Stationary RL accepted at NeurIPS 2024 Adaptive Foundation Models Workshop. |
| Nov 15, 2023 | Gave a talk on “Multi Time Scale World Models” at MILA Robot Learning Seminar. Video Link |
| Sep 21, 2023 | PhD work “Multi Time Scale World Models” accepted in NeurIPS 2023 as a Spotlight (Top 3% of all submitted papers). |
| Jan 21, 2022 | PhD work “Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios” accepted in ICLR 2022. |
| Oct 1, 2020 | PhD work “Action Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning” accepted in Conference on Robot Learning(CoRL) 2020. Video |
| Apr 15, 2019 | Our Paper “Zero Shot Knowledge Distillation in Deep Networks” with Gaurav and Konda Reddy got accepted in ICML 2019. |