| Gansynth: Adversarial neural audio synthesis J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts arXiv preprint arXiv:1902.08710, 2019 | 496 | 2019 |
| Discriminator-actor-critic: Addressing sample inefficiency and reward bias in adversarial imitation learning I Kostrikov, KK Agrawal, D Dwibedi, S Levine, J Tompson arXiv preprint arXiv:1809.02925, 2018 | 283 | 2018 |
| Discrete flows: Invertible generative models of discrete data D Tran, K Vafa, K Agrawal, L Dinh, B Poole Advances in Neural Information Processing Systems 32, 2019 | 116 | 2019 |
| -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 | 19 | 2022 |
| Investigating power laws in deep representation learning A Ghosh, AK Mondal, KK Agrawal, B Richards arXiv preprint arXiv:2202.05808, 2022 | 16 | 2022 |
| Addressing sample inefficiency and reward bias in inverse reinforcement learning I Kostrikov, KK Agrawal, S Levine, J Tompson arXiv preprint arXiv:1809.02925 3, 2018 | 15 | 2018 |
| Learning from an exploring demonstrator: Optimal reward estimation for bandits W Guo, KK Agrawal, A Grover, V Muthukumar, A Pananjady arXiv preprint arXiv:2106.14866, 2021 | 12 | 2021 |
| Recurrent Memory Addressing for Describing Videos. AK Jain, A Agarwalla, KK Agrawal, P Mitra CVPR Workshops 7, 1-8, 2017 | 12* | 2017 |
| Gansynth: Adversarial neural audio synthesis. arXiv 2019 J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts arXiv preprint arXiv:1902.08710, 0 | 10 | |
| Towards mixed optimization for reinforcement learning with program synthesis S Bhupatiraju, KK Agrawal, R Singh arXiv preprint arXiv:1807.00403, 2018 | 8 | 2018 |
| Context-aware streaming perception in dynamic environments GE Sela, I Gog, J Wong, KK Agrawal, X Mo, S Kalra, P Schafhalter, ... European Conference on Computer Vision, 621-638, 2022 | 6 | 2022 |
| Depth First Learning: Learning to Understand Machine Learning A Oliver, S Bhupatiraju, C Resnick, KK Agrawal | 1 | 2018 |
| Addressing Sample Inefficiency in Multi-View Representation Learning KK Agrawal, A Ghosh, A Oberman, B Richards NeurIPS 2023 Workshop on SSL Theory and Practice, 2023 | | 2023 |
| On the Information Geometry of Vision Transformers S Joseph, KK Agrawal, A Ghosh, BA Richards NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023 | | 2023 |
| On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning M Gamba, A Ghosh, KK Agrawal, BA Richards, H Azizpour, M Björkman NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023 | | 2023 |
| Attribute Diversity Determines the Systematicity Gap in VQA I Berlot-Attwell, AM Carrell, KK Agrawal, Y Sharma, N Saphra arXiv preprint arXiv:2311.08695, 2023 | | 2023 |
| Neural Population Geometry across model scale: A tool for crossspecies functional comparison of visual brain regions A Ghosh, KK Agrawal, Z Chorghay, AK Mondal, BA Richards Computational and Systems Neuroscience, 2023, 2023 | | 2023 |
| α-ReQ: Assessing representation quality by measuring eigenspectrum decay KK Agrawal, AK Mondal, A Ghosh | | |
Jesse H. EngelGoogle DeepMindVerified email at google.com
