Mutual information, neural networks and the renormalization group M Koch-Janusz, Z Ringel
Nature Physics 14 (6), 578-582, 2018
209 2018 Spinney: a form library for helicity spinors G Cullen, M Koch-Janusz, T Reiter
Computer Physics Communications 182 (11), 2368-2387, 2011
110 2011 Exactly soluble models for fractional topological insulators in two and three dimensions M Levin, FJ Burnell, M Koch-Janusz, A Stern
Physical Review B 84 (23), 235145, 2011
77 2011 Optimal renormalization group transformation from information theory PM Lenggenhager, DE Gökmen, Z Ringel, SD Huber, M Koch-Janusz
Physical Review X 10 (1), 011037, 2020
34 2020 Relevance in the renormalization group and in information theory A Gordon, A Banerjee, M Koch-Janusz, Z Ringel
Physical Review Letters 126 (24), 240601, 2021
21 2021 Affleck-Kennedy-Lieb-Tasaki State on a Honeycomb Lattice from M Koch-Janusz, DI Khomskii, E Sela
Physical review letters 114 (24), 247204, 2015
20 2015 Exactly soluble lattice models for non-Abelian states of matter in two dimensions M Koch-Janusz, M Levin, A Stern
Physical Review B 88 (11), 115133, 2013
18 2013 Statistical physics through the lens of real-space mutual information DE Gökmen, Z Ringel, SD Huber, M Koch-Janusz
Physical review letters 127 (24), 240603, 2021
17 2021 Symmetries and phase diagrams with real-space mutual information neural estimation DE Gökmen, Z Ringel, SD Huber, M Koch-Janusz
Physical Review E 104 (6), 064106, 2021
17 * 2021 Interacting and fractional topological insulators via the M Koch-Janusz, Z Ringel
Physical Review B 89 (7), 075137, 2014
14 2014 Edge-entanglement correspondence for a gapped topological phase with symmetry M Koch-Janusz, K Dhochak, E Berg
Physical Review B 95 (20), 205110, 2017
9 2017 Machine Learning the Operator Content of the Critical Self-Dual Ising-Higgs Gauge Model L Oppenheim, M Koch-Janusz, S Gazit, Z Ringel
arXiv preprint arXiv:2311.17994, 2023
4 2023 Exactly soluble model for a fractionalized Weyl semimetal F Hotz, A Tiwari, O Turker, T Meng, A Stern, M Koch-Janusz, T Neupert
Physical Review Research 1 (3), 033029, 2019
4 2019 Compression theory for inhomogeneous systems DE Gökmen, S Biswas, SD Huber, Z Ringel, F Flicker, M Koch-Janusz
arXiv preprint arXiv:2301.11934, 2023
1 2023 Training Deep Neural Networks by optimizing over nonlocal paths in hyperparameter space V Pushkarov, J Efroni, M Maksymenko, M Koch-Janusz
arXiv preprint arXiv:1909.04013, 2019
1 2019 Modern Feynman Diagrammatic One-Loop Calculations T Reiter, G Cullen, N Greiner, A Guffanti, JP Guillet, G Heinrich, S Karg, ...
arXiv preprint arXiv:1011.6632, 2010
1 2010 Coarse-graining retinal responses to reveal predictive information A Kline, A Walczak, T Mora, M Koch-Janusz, S Palmer
Bulletin of the American Physical Society, 2024
2024 The information bottleneck learns spectral properties of dynamical systems M Schmitt, M Koch-Janusz, M Fruchart, D Seara, V Vitelli
Bulletin of the American Physical Society, 2024
2024 Information theory for model reduction in stochastic dynamical systems MS Schmitt, M Koch-Janusz, M Fruchart, DS Seara, V Vitelli
arXiv preprint arXiv:2312.06608, 2023
2023 Critical and multicritical points in the three-dimensional Z2 gauge theory with matter--an information bottleneck perspective Z Ringel, L Oppenheim, S Gazit, M Koch-Janusz
Bulletin of the American Physical Society, 2023
2023 
Zohar RingelRacah Institute of PhysicsEmail confirmado em mail.huji.ac.il
