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2020 – today
- 2025
[i10]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:
MuJoCo Playground. CoRR abs/2502.08844 (2025)- 2024
- [c10]Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar:
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation. ICLR 2024 - [c9]Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets
, Zhaozhi Qian, Mihaela van der Schaar:
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. ICLR 2024 - [c8]Alex James Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar:
Dense Reward for Free in Reinforcement Learning from Human Feedback. ICML 2024 - [c7]Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert T. Lange:
Discovering Preference Optimization Algorithms with and for Large Language Models. NeurIPS 2024 - [c6]Samuel Holt, Tennison Liu, Mihaela van der Schaar:
Automatically Learning Hybrid Digital Twins of Dynamical Systems. NeurIPS 2024 - [c5]Samuel Holt, Zhaozhi Qian, Tennison Liu, James Weatherall, Mihaela van der Schaar:
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models. NeurIPS 2024 - [i9]Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar:
Deep Generative Symbolic Regression. CoRR abs/2401.00282 (2024) - [i8]Alex J. Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar:
Dense Reward for Free in Reinforcement Learning from Human Feedback. CoRR abs/2402.00782 (2024) - [i7]Thomas Pouplin, Hao Sun, Samuel Holt, Mihaela van der Schaar:
Retrieval-Augmented Thought Process as Sequential Decision Making. CoRR abs/2402.07812 (2024) - [i6]Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar:
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. CoRR abs/2403.10766 (2024) - [i5]Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert Tjarko Lange:
Discovering Preference Optimization Algorithms with and for Large Language Models. CoRR abs/2406.08414 (2024) - [i4]Samuel Holt, Tennison Liu, Mihaela van der Schaar:
Automatically Learning Hybrid Digital Twins of Dynamical Systems. CoRR abs/2410.23691 (2024) - 2023
- [c4]Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar:
Neural Laplace Control for Continuous-time Delayed Systems. AISTATS 2023: 1747-1778 - [c3]Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar:
Deep Generative Symbolic Regression. ICLR 2023 - [c2]Samuel Holt, Alihan Hüyük, Mihaela van der Schaar:
Active Observing in Continuous-time Control. NeurIPS 2023 - [i3]Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar:
Neural Laplace Control for Continuous-time Delayed Systems. CoRR abs/2302.12604 (2023) - [i2]Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar:
L2MAC: Large Language Model Automatic Computer for Unbounded Code Generation. CoRR abs/2310.02003 (2023) - 2022
- [c1]Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar:
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. ICML 2022: 8811-8832 - [i1]Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar:
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. CoRR abs/2206.04843 (2022)
Coauthor Index
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