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ORCIDNicolas Huynh
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2020 – today
- 2025
[i6]Tennison Liu, Nicolas Huynh, Mihaela van der Schaar:
Decision Tree Induction Through LLMs via Semantically-Aware Evolution. CoRR abs/2503.14217 (2025)- 2024
- [j1]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): 665-684 (2024) - [c6]Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar:
DAGnosis: Localized Identification of Data Inconsistencies using Structures. AISTATS 2024: 1864-1872 - [c5]Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar:
Time Series Diffusion in the Frequency Domain. ICML 2024 - [c4]Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar:
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes. ICML 2024 - [i5]Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar:
Time Series Diffusion in the Frequency Domain. CoRR abs/2402.05933 (2024) - [i4]Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar:
DAGnosis: Localized Identification of Data Inconsistencies using Structures. CoRR abs/2402.17599 (2024) - [i3]Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar:
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling. CoRR abs/2406.13733 (2024) - 2023
- [i2]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 abs/2312.12112 (2023) - 2022
- [c3]Dan Berrebbi, Nicolas Huynh, Oana Balalau:
GraphCite: Citation Intent Classification in Scientific Publications via Graph Embeddings. WWW (Companion Volume) 2022: 779-783 - 2020
- [c2]Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh:
Active Preference-Based Gaussian Process Regression for Reward Learning. Robotics: Science and Systems 2020 - [i1]Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh:
Active Preference-Based Gaussian Process Regression for Reward Learning. CoRR abs/2005.02575 (2020)
2010 – 2019
- 2013
- [c1]Judicaël Bedouet, Nicolas Huynh, Romain Kervarc:
GAMME, a meta-model to unify data needs in simulation modeling (WIP). SpringSim (TMS-DEVS) 2013: 14
Coauthor Index
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