| An off-policy policy gradient theorem using emphatic weightings E Imani, E Graves, M White Advances in Neural Information Processing Systems 31, 2018 | 73 | 2018 |
| Improving regression performance with distributional losses E Imani, M White International Conference on Machine Learning, 2157-2166, 2018 | 38 | 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 | 18 | 2020 |
| Multi-modal deep distance metric learning SM Roostaiyan, E Imani, MS Baghshah Intelligent Data Analysis 21 (6), 1351-1369, 2017 | 7 | 2017 |
| 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 | 6 | 2020 |
| 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 | 4 | 2023 |
| Representation Alignment in Neural Networks E Imani, W Hu, M White Transactions on Machine Learning Research, 2022 | 1 | 2022 |
| The Tunnel Effect: Building Data Representations in Deep Neural Networks W Masarczyk, M Ostaszewski, E Imani, R Pascanu, P Miłoś, T Trzciński arXiv preprint arXiv:2305.19753, 2023 | | 2023 |
| Label Alignment Regularization for Distribution Shift E Imani, G Zhang, J Luo, P Poupart, Y Pan arXiv preprint arXiv:2211.14960, 2022 | | 2022 |
| Distributional Losses for Regression E Imani | | 2019 |
