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Researcher
Tom Vieijra
Profile
Projects
Publications
Activities
Awards & Distinctions
8
Results
2022
Artificial neural networks and tensor networks in Variational Monte Carlo
Tom Vieijra
Jan Ryckebusch
Jutho Haegeman
Wesley De Neve
Dissertation
2022
2021
Direct sampling of projected entangled-pair states
Tom Vieijra
Jutho Haegeman
Frank Verstraete
Laurens Vanderstraeten
A1
Journal Article
in
PHYSICAL REVIEW B
2021
Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz
Corneel Casert
Tom Vieijra
Stephen Whitelam
Isaac Tamblyn
A1
Journal Article
in
PHYSICAL REVIEW LETTERS
2021
Many-body quantum states with exact conservation of non-Abelian and lattice symmetries through variational Monte Carlo
Tom Vieijra
Jannes Nys
A1
Journal Article
in
PHYSICAL REVIEW B
2021
Optical lattice experiments at unobserved conditions with generative adversarial deep learning
Corneel Casert
Kyle Mills
Tom Vieijra
Jan Ryckebusch
Isaac Tamblyn
A2
Journal Article
in
PHYSICAL REVIEW RESEARCH
2021
2020
Restricted Boltzmann machines for quantum states with non-abelian or anyonic symmetries
Tom Vieijra
Corneel Casert
Jannes Nys
Wesley De Neve
Jutho Haegeman
Jan Ryckebusch
Frank Verstraete
A1
Journal Article
in
PHYSICAL REVIEW LETTERS
2020
2019
Interpretable machine learning for inferring the phase boundaries in a nonequilibrium system
Corneel Casert
Tom Vieijra
Jannes Nys
Jan Ryckebusch
A1
Journal Article
in
PHYSICAL REVIEW E
2019
Isospin composition of the high-momentum fluctuations in nuclei from asymptotic momentum distributions
Jan Ryckebusch
Wim Cosyn
Tom Vieijra
Corneel Casert
A1
Journal Article
in
PHYSICAL REVIEW C
2019