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Alessio Ansuini
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2020 – today
- 2024
- [j1]Gonzalo Uribarri, Federico Barone, Alessio Ansuini, Erik Fransén:
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels. Data Min. Knowl. Discov. 38(6): 3922-3947 (2024) - [i10]Diego Doimo, Alessandro Serra, Alessio Ansuini, Alberto Cazzaniga:
The representation landscape of few-shot learning and fine-tuning in large language models. CoRR abs/2409.03662 (2024) - [i9]Yuri Gardinazzi, Giada Panerai, Karthik Viswanathan, Alessio Ansuini, Alberto Cazzaniga, Matteo Biagetti:
Persistent Topological Features in Large Language Models. CoRR abs/2410.11042 (2024) - 2023
- [c6]Lucrezia Valeriani, Diego Doimo, Francesca Cuturello, Alessandro Laio, Alessio Ansuini, Alberto Cazzaniga:
The geometry of hidden representations of large transformer models. NeurIPS 2023 - [i8]Lucrezia Valeriani, Diego Doimo, Francesca Cuturello, Alessandro Laio, Alessio Ansuini, Alberto Cazzaniga
:
The geometry of hidden representations of large transformer models. CoRR abs/2302.00294 (2023) - [i7]Niccolò Tosato, Lorenzo Basile, Emanuele Ballarin, Giuseppe de Alteriis, Alberto Cazzaniga, Alessio Ansuini:
Emergent representations in networks trained with the Forward-Forward algorithm. CoRR abs/2305.18353 (2023) - [i6]Emanuele Ballarin, Alessio Ansuini, Luca Bortolussi:
CARSO: Counter-Adversarial Recall of Synthetic Observations. CoRR abs/2306.06081 (2023) - [i5]Gonzalo Uribarri, Federico Barone, Alessio Ansuini, Erik Fransén:
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels. CoRR abs/2309.14518 (2023) - 2022
- [i4]Arjuna Scagnetto, Giulia Barbati, Ilaria Gandin, C. Cappelletto, Giovanni Baj, Alberto Cazzaniga, Francesca Cuturello, Alessio Ansuini, Luca Bortolussi, A. Di Lenarda:
Deep artificial neural network for prediction of atrial fibrillation through the analysis of 12-leads standard ECG. CoRR abs/2202.05676 (2022) - 2020
- [c5]Marco Zullich, Eric Medvet, Felice Andrea Pellegrino, Alessio Ansuini:
Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning. ICPR 2020: 3868-3875 - [c4]Alessio Ansuini
On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks. ICPRAM 2020: 52-59 - [c3]Alessio Ansuini
Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning. ICPRAM (Revised Selected Papers) 2020: 87-111 - [c2]Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio:
Hierarchical nucleation in deep neural networks. NeurIPS 2020 - [i3]Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio:
Hierarchical nucleation in deep neural networks. CoRR abs/2007.03506 (2020)
2010 – 2019
- 2019
- [c1]Alessio Ansuini, Alessandro Laio, Jakob H. Macke, Davide Zoccolan:
Intrinsic dimension of data representations in deep neural networks. NeurIPS 2019: 6109-6119 - [i2]Alessio Ansuini, Alessandro Laio, Jakob H. Macke, Davide Zoccolan:
Intrinsic dimension of data representations in deep neural networks. CoRR abs/1905.12784 (2019) - 2018
- [i1]Eric Medvet, Alberto Bartoli, Alessio Ansuini, Fabiano Tarlao:
Observing the Population Dynamics in GE by means of the Intrinsic Dimension. CoRR abs/1812.02504 (2018)
Coauthor Index
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last updated on 2024-12-10 20:47 CET by the dblp team
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