Multi-modal deep distance metric learning. - Seyed Mahdi Roostaiyan; Ehsan Imani; Mahdieh Soleymani Baghshah (Intell. Data Anal., 2017)

Improving Regression Performance with Distributional Losses. - Ehsan Imani; Martha White (ICML, 2018)

An Off-policy Policy Gradient Theorem Using Emphatic Weightings. - Ehsan Imani; Eric Graves 002; Martha White (NeurIPS, 2018)

An implicit function learning approach for parametric modal regression. - Yangchen Pan; Ehsan Imani; Amir-massoud Farahmand; Martha White (NeurIPS, 2020)

Separation of movement direction concepts based on independent component analysis algorithm, linear discriminant analysis, deep belief network, artificial and fuzzy neural networks. - Mohammadamin Sabzevari; Ehsan Imani (Biomed. Signal Process. Control., 2020)

Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models. - Taher Jafferjee; Ehsan Imani; Erin Talvitie; Martha White; Michael Bowling (CoRR, 2020)

Understanding Feature Transfer Through Representation Alignment. - Ehsan Imani; Wei Hu; Martha White (CoRR, 2021)

Label Alignment Regularization for Distribution Shift. - Ehsan Imani; Guojun Zhang; Jun Luo 009; Pascal Poupart; Yangchen Pan (CoRR, 2022)

Representation Alignment in Neural Networks. - Ehsan Imani; Wei Hu; Martha White (Trans. Mach. Learn. Res., 2022)

The Tunnel Effect: Building Data Representations in Deep Neural Networks. - Wojciech Masarczyk; Mateusz Ostaszewski; Ehsan Imani; Razvan Pascanu; Piotr Milos; Tomasz Trzcinski (NeurIPS, 2023)

Off-Policy Actor-Critic with Emphatic Weightings. - Eric Graves 002; Ehsan Imani; Raksha Kumaraswamy; Martha White (J. Mach. Learn. Res., 2023)

Investigating the Histogram Loss in Regression. - Ehsan Imani; Kai Luedemann; Sam Scholnick-Hughes; Esraa Elelimy; Martha White (CoRR, 2024)

Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models. - Farzane Aminmansour; Taher Jafferjee; Ehsan Imani; Erin J. Talvitie; Michael Bowling; Martha White (J. Artif. Intell. Res., 2024)

Label Alignment Regularization for Distribution Shift. - Ehsan Imani; Guojun Zhang; Runjia Li; Jun Luo 009; Pascal Poupart; Philip H. S. Torr; Yangchen Pan (J. Mach. Learn. Res., 2024)