Eszter Vértes

12 papers A* 5Journal 7

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. Trans. Mach. Learn. Res. Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
2023	A*	`conf`	Investigating the Role of Model-Based Learning in Exploration and Transfer. ICML Jacob C. Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B. Hamrick
2023	J	`jnl`	Investigating the role of model-based learning in exploration and transfer. CoRR Jacob C. Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Théophane Weber, Jessica B. Hamrick
2022	J	`jnl`	Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. CoRR Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
2022	A*	`conf`	Model-Value Inconsistency as a Signal for Epistemic Uncertainty. ICML Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero
2022	A*	`conf`	Procedural generalization by planning with self-supervised world models. ICLR Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Theophane Weber, Jessica B. Hamrick
2021	J	`jnl`	Model-Value Inconsistency as a Signal for Epistemic Uncertainty. CoRR Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero
2021	J	`jnl`	Procedural Generalization by Planning with Self-Supervised World Models. CoRR Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Théophane Weber, Jessica B. Hamrick
2019	A*	`conf`	A neurally plausible model learns successor representations in partially observable environments. NeurIPS Eszter Vértes, Maneesh Sahani
2019	J	`jnl`	A neurally plausible model learns successor representations in partially observable environments. CoRR Eszter Vértes, Maneesh Sahani
2018	A*	`conf`	Flexible and accurate inference and learning for deep generative models. NeurIPS Eszter Vértes, Maneesh Sahani
2018	J	`jnl`	Flexible and accurate inference and learning for deep generative models. CoRR Eszter Vértes, Maneesh Sahani