Vértes, Eszter

8 publications

TMLR 2023 Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task Jannik Kossen, Cătălina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave

ICML 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

NeurIPSW 2022 Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task Jannik Kossen, Cătălina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave

ICML 2022 Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram Friesen, Feryal Behbahani, Tom Schaul, Andre Barreto, Simon Osindero

ICLRW 2022 Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana L Borsa, Abram L. Friesen, Feryal Behbahani, Tom Schaul, Andre Barreto, Simon Osindero

ICLR 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

NeurIPS 2019 A Neurally Plausible Model Learns Successor Representations in Partially Observable Environments Eszter Vértes, Maneesh Sahani

NeurIPS 2018 Flexible and Accurate Inference and Learning for Deep Generative Models Eszter Vértes, Maneesh Sahani