| EqR: Equivariant representations for data-efficient reinforcement learning AK Mondal, V Jain, K Siddiqi, S Ravanbakhsh International Conference on Machine Learning, 15908-15926, 2022 | 31 | 2022 |
| On Diffusion Modeling for Anomaly Detection V Livernoche*, V Jain*, Y Hezaveh, S Ravanbakhsh The Twelfth International Conference on Learning Representations 2024, 2023 | 29 | 2023 |
| Retinal vessel segmentation under extreme low annotation: A GAN based semi-supervised approach A Lahiri*, V Jain*, A Mondal*, PK Biswas 2020 IEEE international conference on image processing (ICIP), 418-422, 2020 | 29 | 2020 |
| Mini-batch Similarity Graphs for Robust Image Classification A Mondal*, V Jain*, K Siddiqi British Machine Vision Conference (BMVC), 2021, 2021 | 14* | 2021 |
| Retinal vessel segmentation under extreme low annotation: A generative adversarial network approach A Lahiri, V Jain, A Mondal, PK Biswas arXiv preprint arXiv:1809.01348, 2018 | 11 | 2018 |
| Learning to Reach Goals via Diffusion V Jain, S Ravanbakhsh International Conference on Machine Learning, 21170-21195, 2024 | 5 | 2024 |
| Sampling from Energy-based Policies using Diffusion V Jain, T Akhound-Sadegh, S Ravanbakhsh arXiv preprint arXiv:2410.01312, 2024 | 1 | 2024 |