| Modern applications of machine learning in quantum sciences A Dawid, J Arnold, B Requena, A Gresch, M Płodzień, K Donatella, ... arXiv preprint arXiv:2204.04198, 2022 | 92 | 2022 |
| Unsupervised machine learning of topological phase transitions from experimental data N Käming, A Dawid, K Kottmann, M Lewenstein, K Sengstock, A Dauphin, ... Machine Learning: Science and Technology 2, 035037, 2021 | 82 | 2021 |
| Phase detection with neural networks: interpreting the black box A Dawid, P Huembeli, M Tomza, M Lewenstein, A Dauphin New Journal of Physics 22 (11), 115001, 2020 | 35 | 2020 |
| Two interacting ultracold molecules in a one-dimensional harmonic trap A Dawid, M Lewenstein, M Tomza Physical Review A 97 (6), 063618, 2018 | 22 | 2018 |
| Introduction to latent variable energy-based models: a path toward autonomous machine intelligence A Dawid, Y LeCun Journal of Statistical Mechanics: Theory and Experiment 2024 (10), 104011, 2024 | 21 | 2024 |
| Hessian-based toolbox for reliable and interpretable machine learning in physics A Dawid, P Huembeli, M Tomza, M Lewenstein, A Dauphin Machine Learning: Science and Technology 3 (1), 015002, 2021 | 15 | 2021 |
| Experimental investigation of dynamic deprotonation/protonation of highly charged particles Y Qiu, A Dawid, ZS Siwy The Journal of Physical Chemistry C 121 (11), 6255-6263, 2017 | 14 | 2017 |
| Controlling the dynamics of ultracold polar molecules in optical tweezers M Sroczyńska, A Dawid, M Tomza, Z Idziaszek, T Calarco, K Jachymski New Journal of Physics 24 (1), 015001, 2021 | 12 | 2021 |
| Magnetic properties and quench dynamics of two interacting ultracold molecules in a trap A Dawid, M Tomza Physical Chemistry Chemical Physics 22 (48), 28140-28153, 2020 | 7 | 2020 |
| Estimation of usable area of flat-roof residential buildings using topographic data with machine learning methods L Dawid, M Tomza, A Dawid Remote Sensing 11 (20), 2382, 2019 | 6 | 2019 |
| Unveiling the Hessian's Connection to the Decision Boundary M Sabanayagam, F Behrens, U Adomaityte, A Dawid arXiv preprint arXiv:2306.07104, 2023 | 4 | 2023 |
| Two ultracold highly magnetic atoms in a one-dimensional harmonic trap M Suchorowski, A Dawid, M Tomza Physical Review A 106 (4), 043324, 2022 | 3 | 2022 |
| Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model K Cybinski, M Płodzień, M Tomza, M Lewenstein, A Dauphin, A Dawid Machine Learning: Science and Technology, 2024 | 2 | 2024 |
| Automated detection of laser cooling schemes for ultracold molecules A Dawid, N Bigagli, DW Savin, S Will arXiv preprint arXiv:2311.08381, 2023 | 2 | 2023 |
| Quantum many-body physics with ultracold atoms and molecules: exact dynamics and machine learning AM Dawid Lekowska Universitat Politècnica de Catalunya, 2022 | 1 | 2022 |
| Sleep disorders among students at Warsaw universities Ż Matuszek, K Kondrakiewicz, Z Borzymowska, K Łukasiewicz, M Kostecki, ... Google Scholar, 0 | 1 | |
| Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters K Cybiński, J Enouen, A Georges, A Dawid arXiv preprint arXiv:2411.02237, 2024 | | 2024 |
| Towards learning the disordered Hamiltonian with graph neural networks from experimental snapshots A Dawid, J Tindall, A Sengupta, A Georges Bulletin of the American Physical Society, 2024 | | 2024 |
| Deconstructing the Goldilocks Zone of Neural Network Initialization A Vysogorets, A Dawid, J Kempe arXiv preprint arXiv:2402.03579, 2024 | | 2024 |
| Quantum many-body physics with ultracold atoms and molecules: exact dynamics and machine learning A Dawid | | 2022 |
Michał TomzaUniversity of Warsaw, Faculty of PhysicsVerified email at fuw.edu.pl
