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Anna Golubeva
Anna Golubeva
IAIFI Fellow, MIT
Verified email at mit.edu
Title
Cited by
Cited by
Year
Machine learning vortices at the Kosterlitz-Thouless transition
MJS Beach, A Golubeva, RG Melko
Physical Review B 97 (4), 045207, 2018
1912018
Batch normalization is a cause of adversarial vulnerability
A Galloway, A Golubeva, T Tanay, M Moussa, GW Taylor
arXiv preprint arXiv:1905.02161, 2019
952019
Learnability scaling of quantum states: restricted Boltzmann machines
D Sehayek, A Golubeva, MS Albergo, B Kulchytskyy, G Torlai, RG Melko
Physical Review B 100 (19), 195125, 2019
502019
Are wider nets better given the same number of parameters?
A Golubeva, B Neyshabur, G Gur-Ari
ICLR 2021, 2020
482020
QuCumber: wavefunction reconstruction with neural networks
MJS Beach, I De Vlugt, A Golubeva, P Huembeli, B Kulchytskyy, X Luo, ...
SciPost Physics 7 (1), 009, 2019
412019
Breaking of SU (4) symmetry and interplay between strongly correlated phases in the Hubbard model
A Golubeva, A Sotnikov, A Cichy, J Kuneš, W Hofstetter
Physical Review B 95 (12), 125108, 2017
152017
Effects of anisotropy in simple lattice geometries on many-body properties of ultracold fermions in optical lattices
A Golubeva, A Sotnikov, W Hofstetter
Physical Review A 92 (4), 043623, 2015
112015
Pruning a restricted Boltzmann machine for quantum state reconstruction
A Golubeva, RG Melko
Physical Review B 105 (12), 125124, 2022
102022
Bounding generalization error with input compression: An empirical study with infinite-width networks
A Galloway, A Golubeva, M Salem, M Nica, Y Ioannou, GW Taylor
Transactions on Machine Learning Research, 2023
42023
Adversarial Examples as an Input-Fault Tolerance Problem
A Galloway, A Golubeva, GW Taylor
arXiv preprint arXiv:1811.12601, 2018
12018
Neural networks and quantum many-body physics: exploring reciprocal benefits.
A Golubeva
University of Waterloo, 2021
2021
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Articles 1–11