← Authors

Nicolas Huynh

5 papers · 2020–2025 · 4 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (12)

Conferences

ICML (2) AISTATS (1) ICLR (1) RSS (1)

Top co-authors

Mihaela van der Schaar (4) Nabeel Seedat (2) Jonathan Crabbe (2) Jan Pawel Stanczuk (1) Zhaozhi Qian (1) Jeroen Berrevoets (1) Mykel Kochenderfer (1) Tennison Liu (1) Erdem Biyik (1) Dorsa Sadigh (1)

Keywords

active learning (1) statistical independence (1) gaussian process regression (1) causal structure (1) bayesian optimization (1) reward learning (1) preference-based learning (1) domain shift (1) directed acyclic graph (1) data inconsistency detection (1)

Papers

Decision Tree Induction Through LLMs via Semantically-Aware Evolution ICLR 2025
DAGnosis: Localized Identification of Data Inconsistencies using Structures AISTATS 2024
Time Series Diffusion in the Frequency Domain ICML 2024
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes ICML 2024
Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020