| Photorealistic text-to-image diffusion models with deep language understanding C Saharia, W Chan, S Saxena, L Li, J Whang, EL Denton, K Ghasemipour, ... Advances in neural information processing systems 35, 36479-36494, 2022 | 4637 | 2022 |
| A divergence minimization perspective on imitation learning methods SKS Ghasemipour, R Zemel, S Gu Conference on robot learning, 1259-1277, 2020 | 305 | 2020 |
| Acme: A research framework for distributed reinforcement learning MW Hoffman, B Shahriari, J Aslanides, G Barth-Maron, N Momchev, ... arXiv preprint arXiv:2006.00979, 2020 | 255 | 2020 |
| Emaq: Expected-max q-learning operator for simple yet effective offline and online rl SKS Ghasemipour, D Schuurmans, SS Gu International Conference on Machine Learning, 3682-3691, 2021 | 122 | 2021 |
| Why so pessimistic? estimating uncertainties for offline rl through ensembles, and why their independence matters K Ghasemipour, SS Gu, O Nachum Advances in Neural Information Processing Systems 35, 18267-18281, 2022 | 53 | 2022 |
| Smile: Scalable meta inverse reinforcement learning through context-conditional policies SK Seyed Ghasemipour, SS Gu, R Zemel Advances in Neural Information Processing Systems 32, 2019 | 46 | 2019 |
| Learning interactive real-world simulators M Yang, Y Du, K Ghasemipour, J Tompson, D Schuurmans, P Abbeel arXiv preprint arXiv:2310.06114, 2023 | 29 | 2023 |
| Blocks assemble! learning to assemble with large-scale structured reinforcement learning SKS Ghasemipour, S Kataoka, B David, D Freeman, SS Gu, I Mordatch International Conference on Machine Learning, 7435-7469, 2022 | 26 | 2022 |
| Gradient-based optimization of neural network architecture W Grathwohl, E Creager, SKS Ghasemipour, R Zemel | 15 | 2018 |
| Bi-manual manipulation and attachment via sim-to-real reinforcement learning S Kataoka, SKS Ghasemipour, D Freeman, I Mordatch arXiv preprint arXiv:2203.08277, 2022 | 14 | 2022 |
| Braxlines: Fast and interactive toolkit for rl-driven behavior engineering beyond reward maximization SS Gu, M Diaz, DC Freeman, H Furuta, SKS Ghasemipour, A Raichuk, ... arXiv preprint arXiv:2110.04686, 2021 | 13 | 2021 |
| Photorealistic text-to-image diffusion models with deep language understanding. ArXiv abs/2205.11487 (2022) C Saharia, W Chan, S Saxena, L Li, J Whang, EL Denton, ... | 8 | |
| Aloha unleashed: A simple recipe for robot dexterity TZ Zhao, J Tompson, D Driess, P Florence, SKS Ghasemipour, C Finn, ... 8th Annual Conference on Robot Learning, 2024 | 3 | 2024 |
| Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning S Kataoka, Y Chung, SKS Ghasemipour, P Sanketi, SS Gu, I Mordatch arXiv preprint arXiv:2303.14870, 2023 | 2 | 2023 |
| Photorealistic text-to-image diffusion models with deep language understanding. arXiv e-prints, pages arXiv–2205 C Saharia, W Chan, S Saxena, L Li, J Whang, E Denton, ... | 2 | 2022 |
| others (2022). Photorealistic text-to-image diffusion models with deep language understanding C Saharia, W Chan, S Saxena, L Li, J Whang, E Denton, ... arXiv preprint arXiv:2205.11487, 0 | 2 | |
| ABC PROBLEM: AN INVESTIGATION OF OFFLINE RL FOR VISION-BASED DYNAMIC MANIPULATION SKS Ghasemipour, I Mordatch, SS Gu | | |
| CSC412 Project Report SKS Ghasemipour | | |
| PolyRNN: Polygon-based Instance Segmentation with Recurrent Neural Networks L Castrejon, K Ghasemipour | | |
Shixiang Shane GuGoogle DeepMindVerified email at google.com
