Observing the Population Dynamics in GE by means of the Intrinsic Dimension. - Eric Medvet; Alberto Bartoli; Alessio Ansuini; Fabiano Tarlao (CoRR, 2018)

Intrinsic dimension of data representations in deep neural networks. - Alessio Ansuini; Alessandro Laio; Jakob H. Macke; Davide Zoccolan (NeurIPS, 2019)

Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning. - Marco Zullich; Eric Medvet; Felice Andrea Pellegrino; Alessio Ansuini (ICPR, 2020)

On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks. - Alessio Ansuini; Eric Medvet; Felice Andrea Pellegrino; Marco Zullich (ICPRAM, 2020)

Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning. - Alessio Ansuini; Eric Medvet; Felice Andrea Pellegrino; Marco Zullich (ICPRAM (Revised Selected Papers), 2020)

Hierarchical nucleation in deep neural networks. - Diego Doimo; Aldo Glielmo; Alessio Ansuini; Alessandro Laio (NeurIPS, 2020)

Deep artificial neural network for prediction of atrial fibrillation through the analysis of 12-leads standard ECG. - Arjuna Scagnetto; Giulia Barbati; Ilaria Gandin; C. Cappelletto; Giovanni Baj; Alberto Cazzaniga; Francesca Cuturello; Alessio Ansuini; Luca Bortolussi; A. Di Lenarda (CoRR, 2022)

The geometry of hidden representations of large transformer models. - Lucrezia Valeriani; Diego Doimo; Francesca Cuturello; Alessandro Laio; Alessio Ansuini; Alberto Cazzaniga (NeurIPS, 2023)

CARSO: Counter-Adversarial Recall of Synthetic Observations. - Emanuele Ballarin; Alessio Ansuini; Luca Bortolussi (CoRR, 2023)

The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models. - Diego Doimo; Alessandro Serra; Alessio Ansuini; Alberto Cazzaniga (NeurIPS, 2024)

Persistent Topological Features in Large Language Models. - Yuri Gardinazzi; Giada Panerai; Karthik Viswanathan; Alessio Ansuini; Alberto Cazzaniga; Matteo Biagetti (CoRR, 2024)

The Narrow Gate: Localized Image-Text Communication in Vision-Language Models. - Alessandro Serra; Francesco Ortu; Emanuele Panizon; Lucrezia Valeriani; Lorenzo Basile; Alessio Ansuini; Diego Doimo; Alberto Cazzaniga (CoRR, 2024)

Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels. - Gonzalo Uribarri; Federico Barone; Alessio Ansuini; Erik Fransén (Data Min. Knowl. Discov., 2024)

Emergent representations in networks trained with the Forward-Forward algorithm. - Niccolò Tosato; Lorenzo Basile; Emanuele Ballarin; Giuseppe de Alteriis; Alberto Cazzaniga; Alessio Ansuini (Trans. Mach. Learn. Res., 2025)

Interpreting and Steering Protein Language Models through Sparse Autoencoders. - Edith Natalia Villegas Garcia; Alessio Ansuini (CoRR, 2025)