Mutual information, neural networks and the renormalization group M Koch-Janusz, Z Ringel Nature Physics 14 (6), 578-582, 2018 | 238 | 2018 |
Spinney: a form library for helicity spinors G Cullen, M Koch-Janusz, T Reiter Computer Physics Communications 182 (11), 2368-2387, 2011 | 120 | 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 | 80 | 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 | 44 | 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 | 31 | 2021 |
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 | 25 | 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 | 22* | 2021 |
Affleck-Kennedy-Lieb-Tasaki State on a Honeycomb Lattice from Orbitals M Koch-Janusz, DI Khomskii, E Sela Physical review letters 114 (24), 247204, 2015 | 21 | 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 | 19 | 2013 |
Interacting and fractional topological insulators via the chiral anomaly 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 lattice gauge theory L Oppenheim, M Koch-Janusz, S Gazit, Z Ringel Physical Review Research 6 (4), 043322, 2024 | 7* | 2024 |
Compression theory for inhomogeneous systems DE Gökmen, S Biswas, SD Huber, Z Ringel, F Flicker, M Koch-Janusz Nature Communications 15 (1), 10214, 2024 | 4 | 2024 |
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 |
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 | 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 |
Distributed Quantum Dynamics on Near-Term Quantum Processors V Bohun, M Grandadam, M Koch-Janusz arXiv preprint arXiv:2502.03542, 2025 | | 2025 |
Scalable and shallow quantum circuits encoding probability distributions informed by asymptotic entanglement analysis V Bohun, I Lukin, M Luhanko, G Korpas, PJS De Brouwer, M Maksymenko, ... arXiv preprint arXiv:2412.05202, 2024 | | 2024 |
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 |