Samuel Holt

According to our database, Samuel Holt authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, June, 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, June, 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, June, 2025

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, Pieter Abbeel

CoRR, February, 2025

2024

Retrieval-Augmented Thought Process as Sequential Decision Making.

Thomas Pouplin, Hao Sun, Samuel Holt, Mihaela van der Schaar

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Automatically Learning Hybrid Digital Twins of Dynamical Systems.

Samuel Holt, Tennison Liu, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Discovering Preference Optimization Algorithms with and for Large Language Models.

Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert T. Lange

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Dense Reward for Free in Reinforcement Learning from Human Feedback.

Alex James Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference.

Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

L2MAC: Large Language Model Automatic Computer for Extensive Code Generation.

Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

L2MAC: Large Language Model Automatic Computer for Unbounded Code Generation.

Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar

CoRR, 2023

Active Observing in Continuous-time Control.

Samuel Holt, Alihan Hüyük, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Generative Symbolic Regression.

Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Laplace Control for Continuous-time Delayed Systems.

Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Neural Laplace: Learning diverse classes of differential equations in the Laplace domain.

Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2022

2018

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