Nicolas Huynh

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

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

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)

Research topics

Machine Learning (4) Artificial Intelligence (3) Optimization & Theory (3) Application Areas (2) Core AI (2) Deep Learning (1) Natural Language Processing (1) Core Methods (1) Generation (1) Learning Paradigms (1) Models (1)

Keywords

large language model (2) data augmentation (1) fourier analysis (1) statistical independence (1) gaussian process regression (1) causal structure (1) bayesian optimization (1) reward learning (1) decision tree (1) preference-based learning (1) tabular data (1) frequency domain (1) domain shift (1) directed acyclic graph (1) evolutionary optimization (1) semantic prior (1) data inconsistency detection (1) genetic programming (1) generative modelling (1) denoising score matching (1)

Papers

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