Alessio Ansuini

Orcid: 0000-0002-3117-3532

According to our database1, Alessio Ansuini authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels.
Data Min. Knowl. Discov., November, 2024

The representation landscape of few-shot learning and fine-tuning in large language models.
CoRR, 2024

2023
CARSO: Counter-Adversarial Recall of Synthetic Observations.
CoRR, 2023

Emergent representations in networks trained with the Forward-Forward algorithm.
CoRR, 2023

The geometry of hidden representations of large transformer models.
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.
CoRR, 2022

2020
Hierarchical nucleation in deep neural networks.
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.
Proceedings of the Pattern Recognition Applications and Methods, 2020

On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks.
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.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Intrinsic dimension of data representations in deep neural networks.
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.
CoRR, 2018


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