Ehsan Imani

According to our database, Ehsan Imani authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Label Alignment Regularization for Distribution Shift.

Ehsan Imani, Guojun Zhang, Runjia Li, Jun Luo, Pascal Poupart, Philip H. S. Torr, Yangchen Pan

J. Mach. Learn. Res., 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

Investigating the Histogram Loss in Regression.

Ehsan Imani, Kai Luedemann, Sam Scholnick-Hughes, Esraa Elelimy, Martha White

CoRR, 2024

2023

Off-Policy Actor-Critic with Emphatic Weightings.

Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White

J. Mach. Learn. Res., 2023

The Tunnel Effect: Building Data Representations in Deep Neural Networks.

Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Representation Alignment in Neural Networks.

Ehsan Imani, Wei Hu, Martha White

Trans. Mach. Learn. Res., 2022

Label Alignment Regularization for Distribution Shift.

Ehsan Imani, Guojun Zhang, Jun Luo, Pascal Poupart, Yangchen Pan

CoRR, 2022

2021

Understanding Feature Transfer Through Representation Alignment.

Ehsan Imani, Wei Hu, Martha White

CoRR, 2021

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

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

An implicit function learning approach for parametric modal regression.

Yangchen Pan, Ehsan Imani, Amir-massoud Farahmand, Martha White

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

An Off-policy Policy Gradient Theorem Using Emphatic Weightings.

Ehsan Imani, Eric Graves, Martha White

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improving Regression Performance with Distributional Losses.

Ehsan Imani, Martha White

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Multi-modal deep distance metric learning.

Seyed Mahdi Roostaiyan, Ehsan Imani, Mahdieh Soleymani Baghshah

Intell. Data Anal., 2017