Gorka Muñoz-Gil
Gorka Muñoz-Gil
Postdoctoral Researcher, UIBK
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Objective comparison of methods to decode anomalous diffusion
G Muñoz-Gil, G Volpe, MA Garcia-March, E Aghion, A Argun, CB Hong, ...
Nature Communications 12 (6253), 2021
Single trajectory characterization via machine learning
G Muñoz-Gil, MA Garcia-March, C Manzo, JD Martín-Guerrero, ...
New Journal of Physics 22 (1), 013010, 2020
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
The anomalous diffusion challenge: single trajectory characterisation as a competition
G Muñoz-Gil, G Volpe, MA Garcia-March, R Metzler, M Lewenstein, ...
Emerging Topics in Artificial Intelligence 2020 11469, 114691C, 2020
Stochastic particle unbinding modulates growth dynamics and size of transcription factor condensates in living cells
G Muñoz-Gil, C Romero-Aristizabal, N Mateos, F Campelo, ...
Proceedings of the National Academy of Sciences 119 (31), e2200667119, 2022
Control of anomalous diffusion of a Bose polaron
C Charalambous, MÁ García-March, G Munoz-Gil, PR Grzybowski, ...
Quantum 4, 232, 2020
Nonergodic subdiffusion from transient interactions with heterogeneous partners
C Charalambous, G Munoz-Gil, A Celi, MF Garcia-Parajo, M Lewenstein, ...
Physical Review E 95 (3), 032403, 2017
Unsupervised learning of anomalous diffusion data: an anomaly detection approach
G Muñoz-Gil, GG i Corominas, M Lewenstein
Journal of Physics A: Mathematical and Theoretical 54 (50), 504001, 2021
The anomalous diffusion challenge dataset
G Muñoz-Gil, B Requena, G Volpe, MA Garcia-March, C Manzo
Diffusion through a network of compartments separated by partially-transmitting boundaries
G Muñoz-Gil, MA Garcia-March, C Manzo, A Celi, M Lewenstein
Frontiers in Physics 7, 31, 2019
Transient subdiffusion from an Ising environment
G Muñoz-Gil, C Charalambous, MA García-March, MF Garcia-Parajo, ...
Physical Review E 96 (5), 052140, 2017
Efficient training of energy-based models via spin-glass control
A Pozas-Kerstjens, G Muñoz-Gil, E Piñol, MÁ García-March, A Acín, ...
Machine Learning: Science and Technology 2 (2), 025026, 2021
Inferring pointwise diffusion properties of single trajectories with deep learning
B Requena, S Masó-Orriols, J Bertran, M Lewenstein, C Manzo, ...
Biophysical Journal 122 (22), 4360-4369, 2023
Preface: characterisation of physical processes from anomalous diffusion data
C Manzo, G Munoz-Gil, G Volpe, MA Garcia-March, M Lewenstein, ...
arXiv preprint arXiv:2301.00800, 2023
Optimal foraging strategies can be learned
G Muñoz-Gil, A López-Incera, LJ Fiderer, HJ Briegel
New Journal of Physics 26 (1), 013010, 2024
Citizen science to assess light pollution with mobile phones
G Muñoz-Gil, A Dauphin, FA Beduini, A Sánchez de Miguel
Remote Sensing 14 (19), 4976, 2022
Quantitative evaluation of methods to analyze motion changes in single-particle experiments
G Muñoz-Gil, H Bachimanchi, J Pineda, B Midtvedt, M Lewenstein, ...
arXiv preprint arXiv:2311.18100, 2023
Certificates of quantum many-body properties assisted by machine learning
B Requena, G Muñoz-Gil, M Lewenstein, V Dunjko, J Tura
Physical Review Research 5 (1), 013097, 2023
Quantum circuit synthesis with diffusion models
F Fürrutter, G Muñoz-Gil, HJ Briegel
Nature Machine Intelligence, 1-10, 2024
Learning how to find targets in the micro-world: the case of intermittent active Brownian particles
M Caraglio, H Kaur, LJ Fiderer, A López-Incera, HJ Briegel, T Franosch, ...
Soft Matter, 2024
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