Multimodal Deep Homography Estimation Using a Domain Adaptation Generative Adversarial Network. - Thomas Pouplin; Hughes Perreault; Benoit Debaque; Marc-Antoine Drouin; Nicolas Duclos-Hindie; Sébastien Roy 001 (IEEE Big Data, 2022)

Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. - Thomas Pouplin; Alan Jeffares; Nabeel Seedat; Mihaela van der Schaar (ICML, 2024)

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

CliMB: An AI-enabled Partner for Clinical Predictive Modeling. - Evgeny Saveliev; Tim Schubert; Thomas Pouplin; Vasilis Kosmoliaptsis; Mihaela van der Schaar (CoRR, 2024)

LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements. - Thomas Pouplin; Katarzyna Kobalczyk; Hao Sun 017; Mihaela van der Schaar (CoRR, 2024)

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)