Making the one cluster per student method of teaching parallel computing financially practical. - Samuel Holt; Andrew Meaux; Jacob Roth; David Toth (J. Comput. Sci. Coll., 2018)

Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. - Samuel Holt; Zhaozhi Qian; Mihaela van der Schaar (ICML, 2022)

Neural Laplace Control for Continuous-time Delayed Systems. - Samuel Holt; Alihan Hüyük; Zhaozhi Qian; Hao Sun 017; Mihaela van der Schaar (AISTATS, 2023)

Deep Generative Symbolic Regression. - Samuel Holt; Zhaozhi Qian; Mihaela van der Schaar (ICLR, 2023)

Active Observing in Continuous-time Control. - Samuel Holt; Alihan Hüyük; Mihaela van der Schaar (NeurIPS, 2023)

L2MAC: Large Language Model Automatic Computer for Unbounded Code Generation. - Samuel Holt; Max Ruiz Luyten; Mihaela van der Schaar (CoRR, 2023)

L2MAC: Large Language Model Automatic Computer for Extensive Code Generation. - Samuel Holt; Max Ruiz Luyten; Mihaela van der Schaar (ICLR, 2024)

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. - Krzysztof Kacprzyk; Samuel Holt; Jeroen Berrevoets; Zhaozhi Qian; Mihaela van der Schaar (ICLR, 2024)

Dense Reward for Free in Reinforcement Learning from Human Feedback. - Alex James Chan; Hao Sun 017; Samuel Holt; Mihaela van der Schaar (ICML, 2024)

Discovering Preference Optimization Algorithms with and for Large Language Models. - Chris Lu 001; Samuel Holt; Claudio Fanconi; Alex J. Chan; Jakob N. Foerster; Mihaela van der Schaar; Robert T. Lange (NeurIPS, 2024)

Automatically Learning Hybrid Digital Twins of Dynamical Systems. - Samuel Holt; Tennison Liu; Mihaela van der Schaar (NeurIPS, 2024)

Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models. - Samuel Holt; Zhaozhi Qian; Tennison Liu; James Weatherall; Mihaela van der Schaar (NeurIPS, 2024)

Retrieval-Augmented Thought Process as Sequential Decision Making. - Thomas Pouplin; Hao Sun 017; Samuel Holt; Mihaela van der Schaar (CoRR, 2024)

MuJoCo Playground. - Kevin Zakka; Baruch Tabanpour; Qiayuan Liao; Mustafa Haiderbhai; Samuel Holt; Jing Yuan Luo; Arthur Allshire; Erik Frey; Koushil Sreenath; Lueder A. Kahrs; Carmelo Sferrazza; Yuval Tassa; et al. (CoRR, 2025)

The AI Imperative: Scaling High-Quality Peer Review in Machine Learning. - Qiyao Wei; Samuel Holt; Jing Yang; Markus Wulfmeier; Mihaela van der Schaar (CoRR, 2025)

Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search. - Samuel Holt; Max Ruiz Luyten; Thomas Pouplin; Mihaela van der Schaar (CoRR, 2025)

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration. - Samuel Holt; Max Ruiz Luyten; Antonin Berthon; Mihaela van der Schaar (CoRR, 2025)