Alessio Ansuini

According to our database, Alessio Ansuini authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., November, 2024

Persistent Topological Features in Large Language Models.

Yuri Gardinazzi, Giada Panerai, Karthik Viswanathan, Alessio Ansuini, Alberto Cazzaniga, Matteo Biagetti

CoRR, 2024

The representation landscape of few-shot learning and fine-tuning in large language models.

Diego Doimo, Alessandro Serra, Alessio Ansuini, Alberto Cazzaniga

CoRR, 2024

2023

CARSO: Counter-Adversarial Recall of Synthetic Observations.

Emanuele Ballarin, Alessio Ansuini, Luca Bortolussi

CoRR, 2023

Emergent representations in networks trained with the Forward-Forward algorithm.

Niccolò Tosato, Lorenzo Basile, Emanuele Ballarin, Giuseppe de Alteriis, Alberto Cazzaniga, Alessio Ansuini

CoRR, 2023

The geometry of hidden representations of large transformer models.

Lucrezia Valeriani, Diego Doimo, Francesca Cuturello, Alessandro Laio, Alessio Ansuini, Alberto Cazzaniga

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

2020

Hierarchical nucleation in deep neural networks.

Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning.

Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich

Proceedings of the Pattern Recognition Applications and Methods, 2020

On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks.

Alessio Ansuini, Eric Medvet, Felice Andrea Pellegrino, Marco Zullich

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning.

Marco Zullich, Eric Medvet, Felice Andrea Pellegrino, Alessio Ansuini

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Intrinsic dimension of data representations in deep neural networks.

Alessio Ansuini, Alessandro Laio, Jakob H. Macke, Davide Zoccolan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Observing the Population Dynamics in GE by means of the Intrinsic Dimension.

Eric Medvet, Alberto Bartoli, Alessio Ansuini, Fabiano Tarlao

CoRR, 2018