| Intrinsic dimension of data representations in deep neural networks A Ansuini, A Laio, JH Macke, D Zoccolan Advances in Neural Information Processing Systems 32, 2019 | 231 | 2019 |
| 3D meshes of carbon nanotubes guide functional reconnection of segregated spinal explants S Usmani, ER Aurand, M Medelin, A Fabbro, D Scaini, J Laishram, ... Science advances 2 (7), e1600087, 2016 | 102 | 2016 |
| Object similarity affects the perceptual strategy underlying invariant visual object recognition in rats FB Rosselli, A Alemi, A Ansuini, D Zoccolan Frontiers in Neural Circuits 9, 10, 2015 | 35 | 2015 |
| Accuracy of Rats in Discriminating Visual Objects Is Explained by the Complexity of Their Perceptual Strategy V Djurdjevic, A Ansuini, D Bertolini, D Macke, Jakob H., Zoccolan Current Biology 28 (7), 1005-1015, 2018 | 34 | 2018 |
| Less than 5 Netrin-1 molecules initiate attraction but 200 Sema3A molecules are necessary for repulsion G Pinato, D Cojoc, LT Lien, A Ansuini, J Ban, E D’Este, V Torre Scientific reports 2 (1), 675, 2012 | 34 | 2012 |
| A hyperexcitability phenotype in mouse trigeminal sensory neurons expressing the R192Q Cacna1a missense mutation of familial hemiplegic migraine type-1 SK Hullugundi, A Ansuini, MD Ferrari, A van den Maagdenberg, A Nistri Neuroscience 266, 244-254, 2014 | 32 | 2014 |
| Hierarchical nucleation in deep neural networks D Doimo, A Glielmo, A Laio, A Ansuini Advances in Neural Information Processing Systems, 2020, 2020 | 20 | 2020 |
| DKC1 overexpression induces a more aggressive cellular behavior and increases intrinsic ribosomal activity in immortalized mammary gland cells AN Guerrieri, F Zacchini, C Onofrillo, S Di Viggiano, M Penzo, A Ansuini, ... Cancers 12 (12), 3512, 2020 | 19 | 2020 |
| Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning M Zullich, E Medvet, FA Pellegrino, A Ansuini 25th International Conference on Pattern Recognition (ICPR), 2020, Milano …, 2020 | 14 | 2020 |
| Far from equilibrium percolation, stochastic and shape resonances in the physics of life N Poccia, A Ansuini, A Bianconi International Journal of Molecular Sciences 12 (10), 6810-6833, 2011 | 14 | 2011 |
| The geometry of hidden representations of large transformer models L Valeriani, D Doimo, F Cuturello, A Laio, A Ansuini, A Cazzaniga Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
| On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks M Zullich, A Ansuini, E Medvet, FA Pellegrino 9th International Conference on Pattern Recognition Applications and Methods …, 2020 | 10 | 2020 |
| Investigating similarity metrics for convolutional neural networks in the case of unstructured pruning A Ansuini, E Medvet, FA Pellegrino, M Zullich International Conference on Pattern Recognition Applications and Methods, 87-111, 2020 | 6 | 2020 |
| Observing the Population Dynamics in GE by means of the Intrinsic Dimension E Medvet, A Bartoli, A Ansuini, F Tarlao arXiv preprint arXiv:1812.02504, 2018 | 3 | 2018 |
| Emergent representations in networks trained with the Forward-Forward algorithm N Tosato, L Basile, E Ballarin, G de Alteriis, A Cazzaniga, A Ansuini arXiv preprint arXiv:2305.18353, 2023 | 2 | 2023 |
| An Unsupervised Machine Learning Method Stratifies Chronic Lymphocytic Leukemia Patients in Novel Categories with Different Risk of Early Treatment F Cuturello, F Pozzo, EN Villegas Garcia, FM Rossi, M Degan, P Nanni, ... Blood 140 (Supplement 1), 4111-4112, 2022 | 1 | 2022 |
| The geometry of hidden representations of protein language models L Valeriani, F Cuturello, A Ansuini, A Cazzaniga bioRxiv, 2022.10. 24.513504, 2022 | 1 | 2022 |
| Enhancing predictions of protein stability changes induced by single mutations using MSA-based Language Models F Cuturello, M Celoria, A Ansuini, A Cazzaniga bioRxiv, 2024.04. 11.589002, 2024 | | 2024 |
| An Unsupervised Machine Learning Method Stratifies Chronic Lymphocytic Leukemia Patients into Novel Categories with Different Risk of Early Treatment F Pozzo, F Cuturello, EV Garcia, F Rossi, M Degan, P Nanni, I Cattarossi, ... Blood 142, 1892, 2023 | | 2023 |
| Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels G Uribarri, F Barone, A Ansuini, E Fransén arXiv preprint arXiv:2309.14518, 2023 | | 2023 |
Davide ZoccolanScuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, ItalyEmail verificata su sissa.it
