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Wave Ngampruetikorn
Wave Ngampruetikorn
其他姓名Vudtiwat Ngampruetikorn
在 sydney.edu.au 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Pair correlations in the two-dimensional Fermi gas
V Ngampruetikorn, J Levinsen, MM Parish
Physical Review Letters 111 (26), 265301, 2013
762013
Repulsive polarons in two-dimensional Fermi gases
V Ngampruetikorn, J Levinsen, MM Parish
Europhysics Letters 98 (3), 30005, 2012
692012
High-temperature limit of the resonant Fermi gas
V Ngampruetikorn, MM Parish, J Levinsen
Physical Review A 91 (1), 013606, 2015
452015
Effect of inhomogeneous surface disorder on the superheating field of superconducting RF cavities
V Ngampruetikorn, JA Sauls
Physical Review Research 1 (1), 012015(R), 2019
432019
Three-body problem in a two-dimensional Fermi gas
V Ngampruetikorn, MM Parish, J Levinsen
Europhysics Letters 102 (1), 13001, 2013
302013
Bias, belief, and consensus: Collective opinion formation on fluctuating networks
V Ngampruetikorn, GJ Stephens
Physical Review E 94 (5), 052312, 2016
262016
Impurity-Induced Anomalous Thermal Hall Effect in Chiral Superconductors
V Ngampruetikorn, JA Sauls
Physical Review Letters 124 (15), 157002, 2020
212020
Energy consumption and cooperation for optimal sensing
V Ngampruetikorn, DJ Schwab, GJ Stephens
Nature Communications 11, 975, 2020
162020
Perturbation theory for the information bottleneck
V Ngampruetikorn, DJ Schwab
Advances in Neural Information Processing Systems 34, 21008-21018, 2021
15*2021
Exploiting ecology in drug pulse sequences in favour of population reduction
M Bauer, IR Graf, V Ngampruetikorn, GJ Stephens, E Frey
PLOS Computational Biology 13 (9), e1005747, 2017
122017
Inferring couplings in networks across order-disorder phase transitions
V Ngampruetikorn, V Sachdeva, J Torrence, J Humplik, DJ Schwab, ...
Physical Review Research 4 (2), 023240, 2022
52022
Information-bottleneck renormalization group for self-supervised representation learning
V Ngampruetikorn, W Bialek, DJ Schwab
APS March Meeting 2020, 2020
52020
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
V Ngampruetikorn, DJ Schwab
Advances in Neural Information Processing Systems 35, 9784-9796, 2022
22022
Low-dimensional Fermi gases: from few to many-body physics
V Ngampruetikorn
University of Cambridge, 2015
22015
Extrinsic vs Intrinsic Criticality in Systems with Many Components
V Ngampruetikorn, I Nemenman, DJ Schwab
arXiv preprint arXiv:2309.13898, 2023
12023
Generalized Information Bottleneck for Gaussian Variables
V Ngampruetikorn, DJ Schwab
arXiv preprint arXiv:2303.17762, 2023
12023
Anomalous Hall Effects in Chiral Superconductors
V Ngampruetikorn, JA Sauls
arXiv preprint arXiv:1911.06299, 2019
1*2019
Random-Energy Secret Sharing via Extreme Synergy
V Ngampruetikorn, DJ Schwab
arXiv preprint arXiv:2309.14047, 2023
2023
Understanding Energy-Based Modeling of Proteins via an Empirically Motivated Minimal Ground Truth Model
PW Fields, V Ngampruetikorn, R Ranganathan, DJ Schwab, S Palmer
1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023
2023
Finding the Function-Determining Subset of Amino Acids in Protein Sequence Data
P Fields, V Ngampruetikorn, R Ranganathan, D Schwab, S Palmer
APS March Meeting Abstracts 2023, F02. 009, 2023
2023
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