Eszter Vértes

According to our database, Eszter Vértes authored at least 6 papers between 2018 and 2023.

Collaborative distances:

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

2023

Investigating the Role of Model-Based Learning in Exploration and Transfer.

Jacob C. Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B. Hamrick

Proceedings of the International Conference on Machine Learning, 2023

2022

Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task.

Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave

CoRR, 2022

Model-Value Inconsistency as a Signal for Epistemic Uncertainty.

Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero

Proceedings of the International Conference on Machine Learning, 2022

Procedural generalization by planning with self-supervised world models.

Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Theophane Weber, Jessica B. Hamrick

Proceedings of the Tenth International Conference on Learning Representations, 2022

2019

A neurally plausible model learns successor representations in partially observable environments.

Eszter Vértes, Maneesh Sahani

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Flexible and accurate inference and learning for deep generative models.

Eszter Vértes, Maneesh Sahani

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