Nicolas Huynh

15 papers A* 3A 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Decision Tree Induction Through LLMs via Semantically-Aware Evolution.
ICLR
Tennison Liu, Nicolas Huynh, Mihaela van der Schaar
2025 J jnl
Decision Tree Induction Through LLMs via Semantically-Aware Evolution.
CoRR
Tennison Liu, Nicolas Huynh, Mihaela van der Schaar
2024 J jnl
Active preference-based Gaussian process regression for reward learning and optimization.
Int. J. Robotics Res.
Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
2024 A* conf
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes.
ICML
Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
2024 A conf
DAGnosis: Localized Identification of Data Inconsistencies using Structures.
AISTATS
Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2024 J jnl
DAGnosis: Localized Identification of Data Inconsistencies using Structures.
CoRR
Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2024 A* conf
Time Series Diffusion in the Frequency Domain.
ICML
Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar
2024 J jnl
Time Series Diffusion in the Frequency Domain.
CoRR
Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar
2024 J jnl
You can't handle the (dirty) truth: Data-centric Insights Improve Pseudo-Labeling.
J. Data-centric Mach. Learn. Res.
Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar
2024 J jnl
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling.
CoRR
Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar
2023 J jnl
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes.
CoRR
Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
2022 — conf
GraphCite: Citation Intent Classification in Scientific Publications via Graph Embeddings.
WWW (Companion Volume)
Dan Berrebbi, Nicolas Huynh, Oana Balalau
2020 — conf
Active Preference-Based Gaussian Process Regression for Reward Learning.
Robotics: Science and Systems
Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
2020 J jnl
Active Preference-Based Gaussian Process Regression for Reward Learning.
CoRR
Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
2013 — conf
GAMME, a meta-model to unify data needs in simulation modeling (WIP).
SpringSim (TMS-DEVS)
Judicaël Bedouet, Nicolas Huynh, Romain Kervarc