| Torchgan: A flexible framework for gan training and evaluation A Pal, A Das arXiv preprint arXiv:1909.03410, 2019 | 20 | 2019 |
| Jointly trained image and video generation using residual vectors Y Dandi, A Das, S Singhal, V Namboodiri, P Rai Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 8 | 2020 |
| Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation A Das, D Nagaraj Advances in Neural Information Processing Systems, 2023 | 7 | 2023 |
| Sampling without replacement leads to faster rates in finite-sum minimax optimization A Das, B Schölkopf, M Muehlebach Advances in Neural Information Processing Systems 35, 6749--6762, 2022 | 6 | 2022 |
| Utilising the CLT Structure in Stochastic Gradient based Sampling: Improved Analysis and Faster Algorithms A Das, D Nagaraj, A Raj Conference on Learning Theory 2023, 2023 | 4 | 2023 |
| Near Optimal Heteroscedastic Regression with Symbiotic Learning D Baby, A Das, D Nagaraj, P Netrapalli Conference on Learning Theory 2023, 2023 | 2 | 2023 |
| NeurInt: Learning to Interpolate through Neural ODEs A Bose, A Das, Y Dandi, P Rai arXiv preprint arXiv:2111.04123, 2021 | | 2021 |
| TorchGAN: A Flexible Framework for GAN Training and A Pal, A Das | | |
Dheeraj NagarajResearch Scientist, Google在 google.com 的电子邮件经过验证
