most citedControlling stable Bloch points with electric currents

4 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference

Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets +2

Inferring unbiased treatment effects has received widespread attention in the machine learning community. In recent years, our community has proposed numerous solutions in standard…

cs.LG20242 cited

Dense Reward for Free in Reinforcement Learning from Human Feedback

Alex J. Chan, Hao Sun, Samuel Holt +1

Reinforcement Learning from Human Feedback (RLHF) has been credited as the key advance that has allowed Large Language Models (LLMs) to effectively follow instructions and produce…

cs.LG20234 cited

Deep Generative Symbolic Regression

Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar

Symbolic regression (SR) aims to discover concise closed-form mathematical equations from data, a task fundamental to scientific discovery. However, the problem is highly challengi…

cond-mat.mes-hall20234 cited

Controlling stable Bloch points with electric currents

Martin Lang, Swapneel Amit Pathak, Samuel J. R. Holt +2

The Bloch point is a point singularity in the magnetisation configuration, where the magnetisation vanishes. It can exist as an equilibrium configuration and plays an important rol…

cs.LG20232 cited

Neural Laplace Control for Continuous-time Delayed Systems

Samuel Holt, Alihan Hüyük, Zhaozhi Qian +2

Many real-world offline reinforcement learning (RL) problems involve continuous-time environments with delays. Such environments are characterized by two distinctive features: firs…