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Competition between energy- and entropy-driven activation in glasses
Carbone, M. R., & Baity-Jesi, M. (2022). Competition between energy- and entropy-driven activation in glasses. Physical Review E, 106(2), 024603 (7 pp.). https://doi.org/10.1103/PhysRevE.106.024603
Improving hydrologic models for predictions and process understanding using neural ODEs
Höge, M., Scheidegger, A., Baity-Jesi, M., Albert, C., & Fenicia, F. (2022). Improving hydrologic models for predictions and process understanding using neural ODEs. Hydrology and Earth System Sciences, 26(19), 5085-5102. https://doi.org/10.5194/hess-26-5085-2022
Ensembles of data-efficient vision transformers as a new paradigm for automated classification in ecology
Kyathanahally, S. P., Hardeman, T., Reyes, M., Merz, E., Bulas, T., Brun, P., … Baity-Jesi, M. (2022). Ensembles of data-efficient vision transformers as a new paradigm for automated classification in ecology. Scientific Reports, 12, 18590 (11 pp.). https://doi.org/10.1038/s41598-022-21910-0
Linking human impacts to community processes in terrestrial and freshwater ecosystems
McFadden, I. R., Sendek, A., Brosse, M., Bach, P. M., Baity‐Jesi, M., Bolliger, J., … Narwani, A. (2022). Linking human impacts to community processes in terrestrial and freshwater ecosystems. Ecology Letters. https://doi.org/10.1111/ele.14153
Fewer non-native insects in freshwater than in terrestrial habitats across continents
Sendek, A., Baity-Jesi, M., Altermatt, F., Bader, M. K. F., Liebhold, A. M., Turner, R. M., … Brockerhoff, E. G. (2022). Fewer non-native insects in freshwater than in terrestrial habitats across continents. Diversity and Distributions, 28(11), 2303-2315. https://doi.org/10.1111/ddi.13622
Predicting chemical hazard across taxa through machine learning
Wu, J., D'Ambrosi, S., Ammann, L., Stadnicka-Michalak, J., Schirmer, K., & Baity-Jesi, M. (2022). Predicting chemical hazard across taxa through machine learning. Environment International, 163, 107184 (15 pp.). https://doi.org/10.1016/j.envint.2022.107184
Revisiting the concept of activation in supercooled liquids
Baity-Jesi, M., Biroli, G., & Reichman, D. R. (2021). Revisiting the concept of activation in supercooled liquids. European Physical Journal E: Soft Matter and Biological Physics, 44(6), 77 (10 pp.). https://doi.org/10.1140/epje/s10189-021-00077-y
Temperature chaos is present in off-equilibrium spin-glass dynamics
Baity-Jesi, M., Calore, E., Cruz, A., Fernandez, L. A., Gil-Narvion, J. M., Gonzalez-Adalid Pemartin, I., … Yllanes, D. (2021). Temperature chaos is present in off-equilibrium spin-glass dynamics. Communications Physics, 4(1), 74 (7 pp.). https://doi.org/10.1038/s42005-021-00565-9
Deep learning classification of Lake Zooplankton
Kyathanahally, S. P., Hardeman, T., Merz, E., Bulas, T., Reyes, M., Isles, P., … Baity-Jesi, M. (2021). Deep learning classification of Lake Zooplankton. Frontiers in Microbiology, 12, 746297 (13 pp.). https://doi.org/10.3389/fmicb.2021.746297
Underwater dual-magnification imaging for automated lake plankton monitoring
Merz, E., Kozakiewicz, T., Reyes, M., Ebi, C., Isles, P., Baity-Jesi, M., … Pomati, F. (2021). Underwater dual-magnification imaging for automated lake plankton monitoring. Water Research, 203, 117524 (12 pp.). https://doi.org/10.1016/j.watres.2021.117524
Spin-glass dynamics in the presence of a magnetic field: Exploration of microscopic properties
Paga, I., Zhai, Q., Baity-Jesi, M., Calore, E., Cruz, A., Fernandez, L. A., … Yllanes, D. (2021). Spin-glass dynamics in the presence of a magnetic field: Exploration of microscopic properties. Journal of Statistical Mechanics, 2021(3), 033301 (49 pp.). https://doi.org/10.1088/1742-5468/abdfca
Effective traplike activated dynamics in a continuous landscape
Carbone, M. R., Astuti, V., & Baity-Jesi, M. (2020). Effective traplike activated dynamics in a continuous landscape. Physical Review E, 101(5), 052304 (11 pp.). https://doi.org/10.1103/PhysRevE.101.052304
Scaling law describes the spin-glass response in theory, experiments, and simulations
Zhai, Q., Paga, I., Baity-Jesi, M., Calore, E., Cruz, A., Fernandez, L. A., … Yllanes, D. (2020). Scaling law describes the spin-glass response in theory, experiments, and simulations. Physical Review Letters, 125(23), 237202 (6 pp.). https://doi.org/10.1103/PhysRevLett.125.237202
Comparing dynamics: deep neural networks versus glassy systems
Baity-Jesi, M., Sagun, L., Geiger, M., Spigler, S., Ben Arous, G., Cammarota, C., … Biroli, G. (2019). Comparing dynamics: deep neural networks versus glassy systems. Journal of Statistical Mechanics, 2019(12), 124013 (15 pp.). https://doi.org/10.1088/1742-5468/ab3281