| An off-policy policy gradient theorem using emphatic weightings E Imani, E Graves, M White Advances in Neural Information Processing Systems 31, 2018 | 86 | 2018 |
| Improving regression performance with distributional losses E Imani, M White International Conference on Machine Learning, 2157-2166, 2018 | 64 | 2018 |
| Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models T Jafferjee, E Imani, E Talvitie, M White, M Bowling arXiv preprint arXiv:2006.04363, 2020 | 29 | 2020 |
| An implicit function learning approach for parametric modal regression Y Pan, E Imani, A Farahmand, M White Advances in Neural Information Processing Systems 33, 2020 | 10 | 2020 |
| The tunnel effect: Building data representations in deep neural networks W Masarczyk, M Ostaszewski, E Imani, R Pascanu, P Miłoś, T Trzcinski Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Multi-modal deep distance metric learning SM Roostaiyan, E Imani, MS Baghshah Intelligent Data Analysis 21 (6), 1351-1369, 2017 | 7 | 2017 |
| Off-policy actor-critic with emphatic weightings E Graves, E Imani, R Kumaraswamy, M White Journal of Machine Learning Research 24 (146), 1-63, 2023 | 6 | 2023 |
| Representation Alignment in Neural Networks E Imani, W Hu, M White Transactions on Machine Learning Research, 2022 | 4 | 2022 |
| Investigating the Histogram Loss in Regression E Imani, K Luedemann, S Scholnick-Hughes, E Elelimy, M White arXiv preprint arXiv:2402.13425, 2024 | 1 | 2024 |
| Distributional Losses for Regression E Imani | 1 | 2019 |
| Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models F Aminmansour, T Jafferjee, E Imani, EJ Talvitie, M Bowling, M White Journal of Artificial Intelligence Research 80, 441-473, 2024 | | 2024 |
| Label Alignment Regularization for Distribution Shift E Imani, G Zhang, R Li, J Luo, P Poupart, PHS Torr, Y Pan Journal of Machine Learning Research 25 (247), 1-32, 2024 | | 2024 |
