Peter Hayes

12 papers A* 3Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM-Enabled Multi-Agent Systems: Empirical Evaluation and Insights into Emerging Design Patterns & Paradigms. CoRR Harri Renney, Maxim N. Nethercott, Nathan Renney, Peter Hayes
2024	A*	`conf`	Active Preference Learning for Large Language Models. ICML William Muldrew, Peter Hayes, Mingtian Zhang, David Barber
2024	J	`jnl`	Active Preference Learning for Large Language Models. CoRR William Muldrew, Peter Hayes, Mingtian Zhang, David Barber
2024	J	`jnl`	Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning. CoRR Mingtian Zhang, Shawn Lan, Peter Hayes, David Barber
2023	J	`jnl`	Neural network models for influenza forecasting with associated uncertainty using Web search activity trends. PLoS Comput. Biol. Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos
2022	A*	`conf`	Generalization Gap in Amortized Inference. NeurIPS Mingtian Zhang, Peter Hayes, David Barber
2022	J	`jnl`	Generalization Gap in Amortized Inference. CoRR Mingtian Zhang, Peter Hayes, David Barber
2022	J	`jnl`	Integrated Weak Learning. CoRR Peter Hayes, Mingtian Zhang, Raza Habib, Jordan Burgess, Emine Yilmaz, David Barber
2022	J	`jnl`	Towards Healing the Blindness of Score Matching. CoRR Mingtian Zhang, Oscar Key, Peter Hayes, David Barber, Brooks Paige, François-Xavier Briol
2021	J	`jnl`	Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity. CoRR Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos
2021	J	`jnl`	Sample Efficient Model Evaluation. CoRR Emine Yilmaz, Peter Hayes, Raza Habib, Jordan Burgess, David Barber
2020	A*	`conf`	Spread Divergence. ICML Mingtian Zhang, Peter Hayes, Thomas Bird, Raza Habib, David Barber