| 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 | 188 | 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 | 134 | 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 | 95* | 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 | 31 | 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 | 30* | 2022 |
| 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 | 20* | 2021 |
| Quantum circuit synthesis with diffusion models F Fürrutter, G Muñoz-Gil, HJ Briegel Nature Machine Intelligence, 1-10, 2024 | 19 | 2024 |
| 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 | 17 | 2023 |
| Control of anomalous diffusion of a Bose polaron C Charalambous, MÁ García-March, G Munoz-Gil, PR Grzybowski, ... Quantum 4, 232, 2020 | 17 | 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 | 17 | 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 | 13 | 2021 |
| The anomalous diffusion challenge dataset G Muñoz-Gil, B Requena, G Volpe, MA Garcia-March, C Manzo | 12* | 2021 |
| 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 | 12 | 2019 |
| 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 | 11 | 2023 |
| Comparing pseudo-and quantum-random number generators with Monte Carlo simulations D Cirauqui, MÁ García-March, G Guigó Corominas, T Graß, ... APL Quantum 1 (3), 2024 | 9* | 2024 |
| Transient subdiffusion from an Ising environment G Muñoz-Gil, C Charalambous, MA García-March, MF Garcia-Parajo, ... Physical Review E 96 (5), 052140, 2017 | 9 | 2017 |
| 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 | 8 | 2023 |
| 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 20 (9), 2008-2016, 2024 | 7 | 2024 |
| 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 | 7 | 2023 |
| 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 | 6 | 2022 |
Maciej LewensteinICFO - Institute of Photonic Sciences確認したメール アドレス: icfo.eu