publications

Also available on Google Scholar and arXiv

* denotes equal contribution

2026

  1. PRE
    Data coarse graining can improve model performance [DOI]
    Alex Nguyen, David J Schwab*, and Vudtiwat Ngampruetikorn*
    Physical Review E, 2026

2025

  1. Preprint
    Understanding temperature tuning in energy-based models [PDF]
    Peter W Fields, Vudtiwat Ngampruetikorn, David J Schwab, and Stephanie E Palmer
    2025
  2. NeurIPS
    Generalization vs Specialization under Concept Shift [PDF]
    Alex Nguyen, David J Schwab*, and Vudtiwat Ngampruetikorn*
    In Advances in Neural Information Processing Systems, 2025
    To appear
  3. ICML
    When can in-context learning generalize out of task distribution? [PDF]
    Chase Goddard, Lindsay M Smith, Vudtiwat Ngampruetikorn*, and David J Schwab*
    In Forty-second International Conference on Machine Learning, 2025
  4. PRResearch
    Extrinsic vs intrinsic criticality in systems with many components [DOI]
    Vudtiwat Ngampruetikorn, Ilya Nemenman*, and David J Schwab*
    Physical Review Research, 2025

2024

  1. PRL
    Extreme Synergy in the Random-Energy Model [DOI]
    Vudtiwat Ngampruetikorn and David J Schwab
    Physical Review Letters, 2024
  2. SciForDL @ NeurIPS
    Specialization-generalization transition in exemplar-based in-context learning [PDF]
    Chase Goddard, Lindsay M Smith, Vudtiwat Ngampruetikorn, and David J Schwab
    In NeurIPS Workshop on Scientific Methods for Understanding Deep Learning, 2024
  3. SciForDL @ NeurIPS
    Generalization vs Specialization under Concept Shift [PDF]
    Alex Nguyen, David J Schwab*, and Vudtiwat Ngampruetikorn*
    In NeurIPS Workshop on Scientific Methods for Understanding Deep Learning, 2024
  4. SciForDL @ NeurIPS
    Model Recycling: Model component reuse to promote in-context learning
    Lindsay M Smith, Chase Goddard, Vudtiwat Ngampruetikorn*, and David J Schwab*
    In NeurIPS Workshop on Scientific Methods for Understanding Deep Learning, 2024
  5. Front Phys
    Anomalous Hall effects in chiral superconductors [DOI]
    Vudtiwat Ngampruetikorn and J A Sauls
    Frontiers in Physics, 2024

2023

  1. Preprint
    Generalized Information Bottleneck for Gaussian Variables [PDF]
    Vudtiwat Ngampruetikorn and David J Schwab
    2023
  2. SynS & ML @ ICML
    Understanding Energy-Based Modeling of Proteins via an Empirically Motivated Minimal Ground Truth Model [PDF]
    Peter William Fields*, Vudtiwat Ngampruetikorn*, Rama Ranganathan, David J Schwab, and Stephanie Palmer
    In ICML Workshop on the Synergy of Scientific and Machine Learning Modeling, 2023

2022

  1. NeurIPS
    Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality [PDF]
    Vudtiwat Ngampruetikorn and David J Schwab
    In Advances in Neural Information Processing Systems, 2022
    Spotlight presentation
  2. PRResearch
    Inferring couplings in networks across order-disorder phase transitions [DOI]
    Vudtiwat Ngampruetikorn*, Vedant Sachdeva*, Johanna Torrence, Jan Humplik, David J Schwab, and Stephanie E Palmer
    Physical Review Research, 2022

2021

  1. NeurIPS
    Perturbation Theory for the Information Bottleneck [PDF]
    Vudtiwat Ngampruetikorn and David J Schwab
    In Advances in Neural Information Processing Systems, 2021

2020

  1. ML4PS @ NeurIPS
    Perturbation Theory for the Information Bottleneck [PDF]
    Vudtiwat Ngampruetikorn and David J Schwab
    In NeurIPS Workshop on Machine Learning and the Physical Sciences, 2020
  2. PRL
    Impurity-Induced Anomalous Thermal Hall Effect in Chiral Superconductors [DOI]
    Vudtiwat Ngampruetikorn and J A Sauls
    Physical Review Letters, 2020
  3. Nat Commun
    Energy consumption and cooperation for optimal sensing [DOI]
    Vudtiwat Ngampruetikorn, David J Schwab*, and Greg J Stephens*
    Nature Communications, 2020

2019

  1. PRResearch
    Effect of inhomogeneous surface disorder on the superheating field of superconducting RF cavities [DOI]
    Vudtiwat Ngampruetikorn and J A Sauls
    Physical Review Research, 2019

2017

  1. PLOS CB
    Exploiting ecology in drug pulse sequences in favour of population reduction [DOI]
    Marianne Bauer, Isabella R Graf, Vudtiwat Ngampruetikorn, Greg J Stephens, and Erwin Frey
    PLOS Computational Biology, 2017

2016

  1. PRE
    Bias, belief, and consensus: Collective opinion formation on fluctuating networks [DOI]
    Vudtiwat Ngampruetikorn and Greg J Stephens
    Physical Review E, 2016

2015

  1. PRA
    High-temperature limit of the resonant Fermi gas [DOI]
    Vudtiwat Ngampruetikorn, Meera M Parish, and Jesper Levinsen
    Physical Review A, 2015

2013

  1. PRL
    Pair Correlations in the Two-Dimensional Fermi Gas [DOI]
    Vudtiwat Ngampruetikorn, Jesper Levinsen, and Meera M Parish
    Physical Review Letters, 2013
  2. EPL
    Three-body problem in a two-dimensional Fermi gas [DOI]
    Vudtiwat Ngampruetikorn, Meera M Parish, and Jesper Levinsen
    Europhysics Letters, 2013

2012

  1. EPL
    Repulsive polarons in two-dimensional Fermi gases [DOI]
    Vudtiwat Ngampruetikorn, Jesper Levinsen, and Meera M Parish
    Europhysics Letters, 2012