| Learning symmetries of classical integrable systems R Bondesan, A Lamacraft arXiv preprint arXiv:1906.04645, 2019 | 40 | 2019 |
| Robust scheduling with gflownets DW Zhang, C Rainone, M Peschl, R Bondesan arXiv preprint arXiv:2302.05446, 2023 | 38 | 2023 |
| Topological and symmetry broken phases of ZN parafermions in one dimension R Bondesan, T Quella Journal of Statistical Mechanics: Theory and Experiment 2013 (10), P10024, 2013 | 36 | 2013 |
| Infinite matrix product states for long-range SU (N) spin models R Bondesan, T Quella Nuclear Physics B 886, 483-523, 2014 | 34 | 2014 |
| Gaussian free fields at the integer quantum Hall plateau transition R Bondesan, D Wieczorek, MR Zirnbauer Nuclear Physics B 918, 52-90, 2017 | 28 | 2017 |
| Scaling up machine learning for quantum field theory with equivariant continuous flows P de Haan, C Rainone, MCN Cheng, R Bondesan arXiv preprint arXiv:2110.02673, 2021 | 24 | 2021 |
| Single-molecule observation of anomalous electrohydrodynamic orientation of microtubules MGL Van den Heuvel, R Bondesan, M Cosentino Lagomarsino, C Dekker Physical review letters 101 (11), 118301, 2008 | 24 | 2008 |
| Conformal boundary state for the rectangular geometry R Bondesan, J Dubail, JL Jacobsen, H Saleur Nuclear Physics B 862 (2), 553-575, 2012 | 22 | 2012 |
| Chiral SU (2) _k currents as local operators in vertex models and spin chains R Bondesan, J Dubail, A Faribault, Y Ikhlef arXiv preprint arXiv:1409.8590, 2014 | 21 | 2014 |
| Pure scaling operators at the integer quantum Hall plateau transition R Bondesan, D Wieczorek, MR Zirnbauer Physical Review Letters 112 (18), 186803, 2014 | 21 | 2014 |
| Probabilistic numeric convolutional neural networks M Finzi, R Bondesan, M Welling arXiv preprint arXiv:2010.10876, 2020 | 20 | 2020 |
| Rectangular amplitudes, conformal blocks, and applications to loop models R Bondesan, JL Jacobsen, H Saleur Nuclear Physics B 867 (3), 913-949, 2013 | 20 | 2013 |
| Effective edge state dynamics in the fractional quantum Hall effect R Fern, R Bondesan, SH Simon Physical Review B 98 (15), 155321, 2018 | 18 | 2018 |
| Learning lattice quantum field theories with equivariant continuous flows M Gerdes, P de Haan, C Rainone, R Bondesan, MCN Cheng SciPost Physics 15 (6), 238, 2023 | 14 | 2023 |
| Neural simulated annealing AHC Correia, DE Worrall, R Bondesan International Conference on Artificial Intelligence and Statistics, 4946-4962, 2023 | 13 | 2023 |
| Exact exponents for the spin quantum Hall transition in the presence of multiple edge channels R Bondesan, IA Gruzberg, JL Jacobsen, H Obuse, H Saleur Physical Review Letters 108 (12), 126801, 2012 | 13 | 2012 |
| Neural topological ordering for computation graphs M Gagrani, C Rainone, Y Yang, H Teague, W Jeon, R Bondesan, ... Advances in Neural Information Processing Systems 35, 17327-17339, 2022 | 9 | 2022 |
| Structure of edge-state inner products in the fractional quantum Hall effect R Fern, R Bondesan, SH Simon Physical Review B 97 (15), 155108, 2018 | 9 | 2018 |
| Edge states and conformal boundary conditions in super spin chains and super sigma models R Bondesan, JL Jacobsen, H Saleur Nuclear Physics B 849 (2), 461-502, 2011 | 8 | 2011 |
| The Hintons in your neural network: a quantum field theory view of deep learning R Bondesan, M Welling International Conference on Machine Learning, 1038-1048, 2021 | 7 | 2021 |
Jesper Lykke JacobsenProfessor of theoretical physics, Laboratoire de Physique, Ecole Normale Supérieure, ParisGeverifieerd e-mailadres voor ens.fr
