Nicolas Huynh

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 9

Top Topics

Frequency Domain

Gaussian Process Regression

Facial Asymmetry

Top Venues

Int. J. Robotics Res.

Robotics: Science and Systems

Publications

Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar
Time Series Diffusion in the Frequency Domain. CoRR (2024)
Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
Active preference-based Gaussian process regression for reward learning and optimization. Int. J. Robotics Res. 43 (5) (2024)
Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling. CoRR (2024)
Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
DAGnosis: Localized Identification of Data Inconsistencies using Structures. AISTATS (2024)
Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
DAGnosis: Localized Identification of Data Inconsistencies using Structures. CoRR (2024)
Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes. CoRR (2023)
Dan Berrebbi, Nicolas Huynh, Oana Balalau
GraphCite: Citation Intent Classification in Scientific Publications via Graph Embeddings. WWW (Companion Volume) (2022)
Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
Active Preference-Based Gaussian Process Regression for Reward Learning. CoRR (2020)
Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
Active Preference-Based Gaussian Process Regression for Reward Learning. Robotics: Science and Systems (2020)
Judicaël Bedouet, Nicolas Huynh, Romain Kervarc
GAMME, a meta-model to unify data needs in simulation modeling (WIP). SpringSim (TMS-DEVS) (2013)