Samuel Holt
Samuel Holt
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Conference paper
Date
2025
2024
2023
2022
Samuel Holt
,
Max Ruiz Luyten
,
Thomas Pouplin
,
Mihaela Van Der Schaar
(2025).
Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search
. (Workshop on Computer-use Agents @ ICML 2025) [Oral].
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Samuel Holt
,
Todor Davchev
,
Dhruva Tirumala
,
Ben Moran
,
Atil Iscen
,
Antoine Laurens
,
Yixin Lin
,
Erik Frey
,
Markus Wulfmeier
,
Francesco Romano
,
Nicolas Heess
(2025).
EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control
. (ICML 2025).
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Samuel Holt
,
Max Ruiz Luyten
,
Antonin Berthon
,
Mihaela Van Der Schaar
(2025).
G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
. (ICML 2025).
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Samuel Holt
,
Zhaozhi Qian
,
Tennison Liu
,
Mihaela Van Der Schaar
(2024).
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models
. (NeurIPS 2024).
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Samuel Holt
,
Tennison Liu
,
Mihaela Van Der Schaar
(2024).
Automatically Learning Hybrid Digital Twins of Dynamical Systems
. (NeurIPS 2024) [Spotlight, top 5% of papers].
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Samuel Holt
,
Chris Lu
,
Claudio Fanconi
,
Alex J. Chan
,
Jakob Foerster
,
Mihaela Van Der Schaar
,
Robert Tjarko Lange
(2024).
Discovering Preference Optimization Algorithms with and for Large Language Models
. (NeurIPS 2024).
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Code
Project
Samuel Holt
,
Max Ruiz Luyten
,
Mihaela Van Der Schaar
(2024).
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
. (ICLR 2024).
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Samuel Holt
,
Jeroen Berrevoets
,
Krzysztof Kacprzyk
,
Zhaozhi Qian
,
Mihaela Van Der Schaar
(2024).
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
. (ICLR 2024) [Spotlight, top 5% of papers].
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Samuel Holt
,
Alihan Hüyük
,
Mihaela Van Der Schaar
(2023).
Active Observing in Continuous-time Control
. (NeurIPS 2023).
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Code
Samuel Holt
,
Alihan Hüyük
,
Zhaozhi Qian
,
Hao Sun
,
Mihaela Van Der Schaar
(2023).
Neural Laplace Control for Continuous-time Delayed Systems
. (AISTATS 2023).
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Samuel Holt
,
Zhaozhi Qian
,
Mihaela Van Der Schaar
(2023).
Deep Generative Symbolic Regression
. (ICLR 2023).
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Video
Samuel Holt
,
Zhaozhi Qian
,
Mihaela Van Der Schaar
(2022).
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
. (ICML 2022) [Long Oral, top 2% of papers].
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