| In-Context Learning through the Bayesian Prism M Panwar, K Ahuja, N Goyal The Twelfth International Conference on Learning Representations, 2023 | 19* | 2023 |
| TAN-NTM: Topic Attention Networks for Neural Topic Modeling M Panwar, S Shailabh, M Aggarwal, B Krishnamurthy ACL 2021, 3865-3880, 2021 | 18 | 2021 |
| Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically K Ahuja, V Balachandran, M Panwar, T He, NA Smith, N Goyal, ... arXiv preprint arXiv:2404.16367, 2024 | 1 | 2024 |
| System and methods for neural topic modeling using topic attention networks S Shailabh, M Panwar, M Aggarwal, P Badjatiya, S Shahid, N Puri, ... US Patent App. 17/644,856, 2023 | 1 | 2023 |
| InversionView: A General-Purpose Method for Reading Information from Neural Activations X Huang, M Panwar, N Goyal, M Hahn arXiv preprint arXiv:2405.17653, 2024 | | 2024 |
| In-Context Learning and Bayesian Inference M Panwar, K Ahuja, N Goyal NeurIPS 2023 Workshop on Robustness of Few-shot and Zero-shot Learning in …, 2023 | | 2023 |
| Surprising Deviations from Bayesian View in In-Context Learning M Panwar, K Ahuja, N Goyal NeurIPS 2023 Workshop on I Can’t Believe It’s Not Better (ICBINB): Failure …, 2023 | | 2023 |
| Transformers Can Learn To Solve Linear-Inverse Problems In-Context K Ahuja, M Panwar, N Goyal NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 2023 | | 2023 |
| [Re] AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients A Buvanesh, M Panwar ML Reproducibility Challenge 2021 (Fall Edition), 2022 | | 2022 |
| Offline Speaker Diarization of Single-Channel Audio M Panwar Birla Institute of Technology & Science, Pilani, 2021 | | 2021 |
Navin GoyalMicrosoft ResearchVerified email at microsoft.com
