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Ehsan Imani
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Journal Articles
- 2024
- [j6]Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin J. Talvitie, Michael Bowling, Martha White:
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models. J. Artif. Intell. Res. 80: 441-473 (2024) - [j5]Ehsan Imani, Guojun Zhang, Runjia Li, Jun Luo, Pascal Poupart, Philip H. S. Torr, Yangchen Pan:
Label Alignment Regularization for Distribution Shift. J. Mach. Learn. Res. 25: 247:1-247:32 (2024) - 2023
- [j4]Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White:
Off-Policy Actor-Critic with Emphatic Weightings. J. Mach. Learn. Res. 24: 146:1-146:63 (2023) - 2022
- [j3]Ehsan Imani, Wei Hu, Martha White:
Representation Alignment in Neural Networks. Trans. Mach. Learn. Res. 2022 (2022) - 2020
- [j2]Mohammadamin Sabzevari, Ehsan Imani:
Separation of movement direction concepts based on independent component analysis algorithm, linear discriminant analysis, deep belief network, artificial and fuzzy neural networks. Biomed. Signal Process. Control. 62: 101950 (2020) - 2017
- [j1]Seyed Mahdi Roostaiyan, Ehsan Imani, Mahdieh Soleymani Baghshah:
Multi-modal deep distance metric learning. Intell. Data Anal. 21(6): 1351-1369 (2017)
Conference and Workshop Papers
- 2023
- [c4]Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski:
The Tunnel Effect: Building Data Representations in Deep Neural Networks. NeurIPS 2023 - 2020
- [c3]Yangchen Pan, Ehsan Imani, Amir-massoud Farahmand, Martha White:
An implicit function learning approach for parametric modal regression. NeurIPS 2020 - 2018
- [c2]Ehsan Imani, Martha White:
Improving Regression Performance with Distributional Losses. ICML 2018: 2162-2171 - [c1]Ehsan Imani, Eric Graves, Martha White:
An Off-policy Policy Gradient Theorem Using Emphatic Weightings. NeurIPS 2018: 96-106
Informal and Other Publications
- 2024
- [i9]Ehsan Imani, Kai Luedemann, Sam Scholnick-Hughes, Esraa Elelimy, Martha White:
Investigating the Histogram Loss in Regression. CoRR abs/2402.13425 (2024) - 2023
- [i8]Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski:
The Tunnel Effect: Building Data Representations in Deep Neural Networks. CoRR abs/2305.19753 (2023) - 2022
- [i7]Ehsan Imani, Guojun Zhang, Jun Luo, Pascal Poupart, Yangchen Pan:
Label Alignment Regularization for Distribution Shift. CoRR abs/2211.14960 (2022) - 2021
- [i6]Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White:
Off-Policy Actor-Critic with Emphatic Weightings. CoRR abs/2111.08172 (2021) - [i5]Ehsan Imani, Wei Hu, Martha White:
Understanding Feature Transfer Through Representation Alignment. CoRR abs/2112.07806 (2021) - 2020
- [i4]Yangchen Pan, Ehsan Imani, Martha White, Amir-massoud Farahmand:
An implicit function learning approach for parametric modal regression. CoRR abs/2002.06195 (2020) - [i3]Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Michael Bowling:
Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models. CoRR abs/2006.04363 (2020) - 2018
- [i2]Ehsan Imani, Martha White:
Improving Regression Performance with Distributional Losses. CoRR abs/1806.04613 (2018) - [i1]Ehsan Imani, Eric Graves, Martha White:
An Off-policy Policy Gradient Theorem Using Emphatic Weightings. CoRR abs/1811.09013 (2018)
Coauthor Index
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