Pair correlations in the two-dimensional Fermi gas V Ngampruetikorn, J Levinsen, MM Parish Physical Review Letters 111 (26), 265301, 2013 | 76 | 2013 |
Repulsive polarons in two-dimensional Fermi gases V Ngampruetikorn, J Levinsen, MM Parish Europhysics Letters 98 (3), 30005, 2012 | 69 | 2012 |
High-temperature limit of the resonant Fermi gas V Ngampruetikorn, MM Parish, J Levinsen Physical Review A 91 (1), 013606, 2015 | 45 | 2015 |
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 | 43 | 2019 |
Three-body problem in a two-dimensional Fermi gas V Ngampruetikorn, MM Parish, J Levinsen Europhysics Letters 102 (1), 13001, 2013 | 30 | 2013 |
Bias, belief, and consensus: Collective opinion formation on fluctuating networks V Ngampruetikorn, GJ Stephens Physical Review E 94 (5), 052312, 2016 | 26 | 2016 |
Impurity-Induced Anomalous Thermal Hall Effect in Chiral Superconductors V Ngampruetikorn, JA Sauls Physical Review Letters 124 (15), 157002, 2020 | 21 | 2020 |
Energy consumption and cooperation for optimal sensing V Ngampruetikorn, DJ Schwab, GJ Stephens Nature Communications 11, 975, 2020 | 16 | 2020 |
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 | 12 | 2017 |
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 | 5 | 2022 |
Information-bottleneck renormalization group for self-supervised representation learning V Ngampruetikorn, W Bialek, DJ Schwab APS March Meeting 2020, 2020 | 5 | 2020 |
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 | 2 | 2022 |
Low-dimensional Fermi gases: from few to many-body physics V Ngampruetikorn University of Cambridge, 2015 | 2 | 2015 |
Extrinsic vs Intrinsic Criticality in Systems with Many Components V Ngampruetikorn, I Nemenman, DJ Schwab arXiv preprint arXiv:2309.13898, 2023 | 1 | 2023 |
Generalized Information Bottleneck for Gaussian Variables V Ngampruetikorn, DJ Schwab arXiv preprint arXiv:2303.17762, 2023 | 1 | 2023 |
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 |