| Few-shot 3d multi-modal medical image segmentation using generative adversarial learning AK Mondal, J Dolz, C Desrosiers arXiv preprint arXiv:1810.12241, 2018 | 169 | 2018 |
| Equivariance with learned canonicalization functions SO Kaba*, AK Mondal*, Y Zhang, Y Bengio, S Ravanbakhsh International Conference on Machine Learning, 15546-15566, 2023 | 67 | 2023 |
| Revisiting CycleGAN for semi-supervised segmentation AK Mondal, A Agarwal, J Dolz, C Desrosiers arXiv preprint arXiv:1908.11569, 2019 | 41 | 2019 |
| Group equivariant deep reinforcement learning AK Mondal, P Nair, K Siddiqi ICML workshop on Inductive Biases, Invariances and Generalization in …, 2020 | 36 | 2020 |
| -ReQ: Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay KK Agrawal*, AK Mondal*, A Ghosh*, BA Richards Advances in Neural Information Processing Systems, 2022 | 32 | 2022 |
| Retinal vessel segmentation under extreme low annotation: A GAN based semi-supervised approach A Mondal*, A Lahiri*, V Jain*, PK Biswas 2020 IEEE International Conference on Image Processing (ICIP), 418-422, 2020 | 30 | 2020 |
| EqR: Equivariant representations for data-efficient reinforcement learning AK Mondal, V Jain, K Siddiqi, S Ravanbakhsh International Conference on Machine Learning, 15908-15926, 2022 | 28 | 2022 |
| Investigating power laws in deep representation learning A Ghosh*, AK Mondal*, KK Agrawal*, B Richards arXiv preprint arXiv:2202.05808, 2022 | 24 | 2022 |
| Structuring Representations Using Group Invariants M Shakerinava*, AK Mondal*, S Ravanbakhsh Advances in Neural Information Processing Systems, 2022 | 18 | 2022 |
| Equivariant adaptation of large pretrained models AK Mondal, SS Panigrahi, O Kaba, SR Mudumba, S Ravanbakhsh Advances in Neural Information Processing Systems 36, 50293-50309, 2023 | 16 | 2023 |
| Mini-batch graphs for robust image classification AK Mondal*, V Jain*, K Siddiqi 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 |
| Low cost autonomous navigation and control of a mechanically balanced bicycle with dual locomotion mode A Pandey, S Mahajan, A Kosta, D Yadav, V Pandey, S Sahay, S Jha, ... 2015 IEEE International Transportation Electrification Conference (ITEC), 1-10, 2015 | 5 | 2015 |
| Revisiting CycleGAN for semi-supervised segmentation. arXiv 2019 AK Mondal, A Agarwal, J Dolz, C Desrosiers arXiv preprint arXiv:1908.11569, 1908 | 5 | 1908 |
| Spectra: Surprising Effectiveness of Pretraining Ternary Language Models at Scale A Kaushal, T Vaidhya, AK Mondal, T Pandey, A Bhagat, I Rish arXiv preprint arXiv:2407.12327, 2024 | 3 | 2024 |
| Improved Canonicalization for Model Agnostic Equivariance SS Panigrahi, AK Mondal arXiv preprint arXiv:2405.14089, 2024 | 2 | 2024 |
| HumMUSS: Human Motion Understanding using State Space Models AK Mondal, S Alletto, D Tome Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 2 | 2024 |
| Efficient Dynamics Modeling in Interactive Environments with Koopman Theory AK Mondal, SS Panigrahi, S Rajeswar, K Siddiqi, S Ravanbakhsh The Twelfth International Conference on Learning Representations 2024, 2023 | 2 | 2023 |
| Systems and methods for video retrieval and grounding AK Mondal, D Sridhar, N Quader, J Lu, P Dai, C Xing US Patent 11,698,926, 2023 | 1 | 2023 |
| Symmetry-Aware Generative Modeling through Learned Canonicalization K Sareen, D Levy, AK Mondal, SO Kaba, T Akhound-Sadegh, ... arXiv preprint arXiv:2501.07773, 2025 | | 2025 |
Siamak RavanbakhshAssistant Professor, McGill University確認したメール アドレス: cs.mcgill.ca