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Anna Dawid
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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
912022
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
812021
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
342020
Two interacting ultracold molecules in a one-dimensional harmonic trap
A Dawid, M Lewenstein, M Tomza
Physical Review A 97 (6), 063618, 2018
222018
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
202024
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
142021
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
142017
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
122021
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
72020
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
62019
Unveiling the Hessian's Connection to the Decision Boundary
M Sabanayagam, F Behrens, U Adomaityte, A Dawid
arXiv preprint arXiv:2306.07104, 2023
42023
Two ultracold highly magnetic atoms in a one-dimensional harmonic trap
M Suchorowski, A Dawid, M Tomza
Physical Review A 106 (4), 043324, 2022
32022
Automated detection of laser cooling schemes for ultracold molecules
A Dawid, N Bigagli, DW Savin, S Will
arXiv preprint arXiv:2311.08381, 2023
22023
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
12024
Quantum many-body physics with ultracold atoms and molecules: exact dynamics and machine learning
AM Dawid Lekowska
Universitat Politècnica de Catalunya, 2022
12022
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
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