Nicolas Huynh

According to our database, Nicolas Huynh authored at least 13 papers between 2013 and 2026.

Collaborative distances:

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

2026

CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment.

Silas Ruhrberg Estévez, Nicolas Huynh, Tennison Liu, Roderik M. Kortlever, Gerard I. Evan, David L. Bentley, Mihaela van der Schaar

CoRR, May, 2026

Active Timepoint Selection for Learning Measure-Valued Trajectories.

Nicolas Huynh, Mihaela van der Schaar

CoRR, May, 2026

Interpretable DNA Sequence Classification via Dynamic Feature Generation in Decision Trees.

Nicolas Huynh, Krzysztof Kacprzyk, Ryan Sheridan, David L. Bentley, Mihaela van der Schaar

CoRR, April, 2026

2025

Decision Tree Induction Through LLMs via Semantically-Aware Evolution.

Tennison Liu, Nicolas Huynh, Mihaela van der Schaar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Active preference-based Gaussian process regression for reward learning and optimization.

Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh

Int. J. Robotics Res., 2024

You can't handle the (dirty) truth: Data-centric Insights Improve Pseudo-Labeling.

Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar

J. Data-centric Mach. Learn. Res., 2024

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes.

Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar

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

Time Series Diffusion in the Frequency Domain.

Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar

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

DAGnosis: Localized Identification of Data Inconsistencies using Structures.

Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes.

Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar

CoRR, 2023

2022

GraphCite: Citation Intent Classification in Scientific Publications via Graph Embeddings.

Dan Berrebbi, Nicolas Huynh, Oana Balalau

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2020

Active Preference-Based Gaussian Process Regression for Reward Learning.

Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh

Proceedings of the Robotics: Science and Systems XVI, 2020

2013

GAMME, a meta-model to unify data needs in simulation modeling (WIP).

Judicaël Bedouet, Nicolas Huynh, Romain Kervarc

Proceedings of the 2013 Spring Simulation Multiconference, SpringSim '13, 2013