Ngampruetikorn, Vudtiwat

8 publications

NeurIPS 2025 Generalization vs Specialization Under Concept Shift Alex Nguyen, David J. Schwab, Vudtiwat Ngampruetikorn

ICML 2025 When Can In-Context Learning Generalize Out of Task Distribution? Chase Goddard, Lindsay M. Smith, Vudtiwat Ngampruetikorn, David J. Schwab

NeurIPSW 2024 Generalization vs Specialization Under Concept Shift Alex Nguyen, David J. Schwab, Vudtiwat Ngampruetikorn

NeurIPSW 2024 Model Recycling: Model Component Reuse to Promote In-Context Learning Lindsay M. Smith, Chase Goddard, Vudtiwat Ngampruetikorn, David J. Schwab

NeurIPSW 2024 Specialization-Generalization Transition in Exemplar-Based In-Context Learning Chase Goddard, Lindsay M. Smith, Vudtiwat Ngampruetikorn, David J. Schwab

ICMLW 2023 Understanding Energy-Based Modeling of Proteins via an Empirically Motivated Minimal Ground Truth Model Peter William Fields, Vudtiwat Ngampruetikorn, Rama Ranganathan, David J. Schwab, Stephanie Palmer

NeurIPS 2022 Information Bottleneck Theory of High-Dimensional Regression: Relevancy, Efficiency and Optimality Vudtiwat Ngampruetikorn, David J Schwab

NeurIPS 2021 Perturbation Theory for the Information Bottleneck Vudtiwat Ngampruetikorn, David J Schwab