625 citations · 2.7k across the 69 of their papers we have counts for
77 papers
Follow the Winners: Conservative Policy Improvement with the Cross-Entropy Method for Critic-Free RFT
Joery Ariën de Vries, Neil David Lawrence, Zhenwen Dai
Critic-free reinforcement fine-tuning (RFT) for agentic large language models is often done through GRPO-style methods, which compute a group baseline over repeated rollouts to red…
Multi-fidelity experimental design for ice-sheet simulation
Pierre Thodoroff, Markus Kaiser, Rosie Williams +5
Computer simulations are becoming an essential tool in many scientific fields from molecular dynamics to aeronautics. In glaciology, future predictions of sea level change require…
Dimensionality Reduction as Probabilistic Inference
Aditya Ravuri, Francisco Vargas, Vidhi Lalchand +1
Dimensionality reduction (DR) algorithms compress high-dimensional data into a lower dimensional representation while preserving important features of the data. DR is a critical st…
Causal fault localisation in dataflow systems
Andrei Paleyes, Neil D. Lawrence
Dataflow computing was shown to bring significant benefits to multiple niches of systems engineering and has the potential to become a general-purpose paradigm of choice for data-d…
Dataflow graphs as complete causal graphs
Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf +1
Component-based development is one of the core principles behind modern software engineering practices. Understanding of causal relationships between components of a software syste…
AI for Science: An Emerging Agenda
Philipp Berens, Kyle Cranmer, Neil D. Lawrence +2
This report documents the programme and the outcomes of Dagstuhl Seminar 22382 "Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling". Today's scientific ch…