Nicolas Huynh

According to our database1, Nicolas Huynh authored at least 9 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Active preference-based Gaussian process regression for reward learning and optimization.
Int. J. Robotics Res., 2024

You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling.
CoRR, 2024

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Time Series Diffusion in the Frequency Domain.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DAGnosis: Localized Identification of Data Inconsistencies using Structures.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes.
CoRR, 2023

2022
GraphCite: Citation Intent Classification in Scientific Publications via Graph Embeddings.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2020
Active Preference-Based Gaussian Process Regression for Reward Learning.
Proceedings of the Robotics: Science and Systems XVI, 2020

2013
GAMME, a meta-model to unify data needs in simulation modeling (WIP).
Proceedings of the 2013 Spring Simulation Multiconference, SpringSim '13, 2013


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