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2020 – today
- 2025
[c3]Thomas Pouplin, Kasia Kobalczyk, Hao Sun, Mihaela van der Schaar:
The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data. ICML 2025- [i5]Samuel Holt, Max Ruiz Luyten, Thomas Pouplin, Mihaela van der Schaar:
Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search. CoRR abs/2506.09171 (2025) - 2024
- [c2]Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar:
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. ICML 2024: 40951-40981 - [i4]Thomas Pouplin, Hao Sun, Samuel Holt, Mihaela van der Schaar:
Retrieval-Augmented Thought Process as Sequential Decision Making. CoRR abs/2402.07812 (2024) - [i3]Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar:
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. CoRR abs/2406.03258 (2024) - [i2]Evgeny Saveliev, Tim Schubert, Thomas Pouplin, Vasilis Kosmoliaptsis, Mihaela van der Schaar:
CliMB: An AI-enabled Partner for Clinical Predictive Modeling. CoRR abs/2410.03736 (2024) - [i1]Thomas Pouplin, Katarzyna Kobalczyk, Hao Sun, Mihaela van der Schaar:
LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements. CoRR abs/2412.06877 (2024) - 2022
- [c1]Thomas Pouplin, Hughes Perreault, Benoit Debaque, Marc-Antoine Drouin, Nicolas Duclos-Hindie, Sébastien Roy:
Multimodal Deep Homography Estimation Using a Domain Adaptation Generative Adversarial Network. IEEE Big Data 2022: 3635-3641
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