Wave Ngampruetikorn

Specialization-generalization transition in exemplar-based in-context learning

Forty-Second International Conference on Machine Learning (ICML 2025), arXiv:2506.05574

C Goddard, LM Smith, V Ngampruetikorn, DJ Schwab

• Short version presented at Workshop on Scientific Methods for Understanding Deep Learning @ NeurIPS2024

Extrinsic vs Intrinsic Criticality in Systems with Many Components

Physical Review Research 7, 013188 (2025)

V Ngampruetikorn,  I Nemenman and DJ Schwab

Extreme Synergy in the Random-Energy Model

Physical Review Letters 133, 257401 (2024)

V Ngampruetikorn and DJ Schwab

Model Recycling: Model component reuse to promote in-context learning

Workshop on Scientific Methods for Understanding Deep Learning @ NeurIPS2024

LM Smith, C Goddard, V Ngampruetikorn, DJ Schwab

Generalization vs Specialization under Concept Shift

Workshop on Scientific Methods for Understanding Deep Learning @ NeurIPS2024, arXiv:2409.15582

A Nguyen, DJ Schwab and V Ngampruetikorn

Impurity-induced anomalous thermal Hall effect in chiral superconductors

Frontiers in Physics 12, 1384275 (2024)

V Ngampruetikorn and JA Sauls

Generalized Information Bottleneck for Gaussian Variables

arXiv:2303.17762

V Ngampruetikorn and DJ Schwab

Understanding Energy-Based Modeling of Proteins via an Empirically Motivated Minimal Ground Truth Model

Workshop on the Synergy of Scientific and Machine Learning Modeling @ ICML2023

PW Fields, V Ngampruetikorn, R Ranganathan, DJ Schwab and SE Palmer

Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality

Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

V Ngampruetikorn and DJ Schwab

• Spotlight presentation (~18% of accepted papers)

Inferring couplings in networks across order-disorder phase transitions

Physical Review Research 4, 023240 (2022)

V Ngampruetikorn, V Sachdeva, J Torrence, J Humplik, DJ Schwab and SE Palmer

Perturbation Theory for the Information Bottleneck

Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

V Ngampruetikorn and DJ Schwab

Impurity-induced anomalous thermal Hall effect in chiral superconductors

Physical Review Letters 124, 157002 (2020)

V Ngampruetikorn and JA Sauls

Energy consumption and cooperation for optimal sensing 

Nature Communications 11, 975 (2020)

V Ngampruetikorn, DJ Schwab and GJ Stephens

• VU News: Energy consumption and cooperation for optimal sensing

• OIST News: Making sense of cells (Reprints at Phys.org, ScienceDaily, EurekAlert!)

Effect of inhomogeneous surface disorder on the superheating field of superconducting RF cavities 

Physical Review Research 1, 012015(R) (2019) - Rapid Communications

V Ngampruetikorn and JA Sauls

• Northwestern News: 'Dirty' Superconductors Make Better Particle Accelerators

Exploiting ecology in drug pulse sequences in favour of population reduction

PLoS Computational Biology 13(9): e1005747 (2017)

M Bauer, IR Graf, V Ngampruetikorn, GJ Stephens and E Frey

Bias, belief, and consensus: Collective opinion formation on fluctuating networks 

Physical Review E 94, 052312 (2016)

V Ngampruetikorn and GJ Stephens

High-temperature limit of the resonant Fermi gas

Physical Review A 91, 013606 (2015)

V Ngampruetikorn, MM Parish and J Levinsen

Pair Correlations in the Two-Dimensional Fermi Gas 

Physical Review Letters 111, 265301 (2013)

V Ngampruetikorn, J Levinsen and MM Parish

Three-body problem in a two-dimensional Fermi gas

EPL (Europhysics Letters) 102, 13001 (2013)

V Ngampruetikorn, MM Parish and J Levinsen

Repulsive polarons in two-dimensional Fermi gases

EPL (Europhysics Letters) 98, 30005 (2012)

V Ngampruetikorn, J Levinsen and MM Parish