Enzo Tartaglione
Title
Cited by
Cited by
Year
Learning sparse neural networks via sensitivity-driven regularization
E Tartaglione, S Leps°y, A Fiandrotti, G Francini
Advances in Neural Information Processing Systems, 3878-3888, 2018
212018
Role of Synaptic Stochasticity in Training Low-Precision Neural Networks
C Baldassi, F Gerace, HJ Kappen, C Lucibello, L Saglietti, E Tartaglione, ...
Physical Review Letters 120 (26), 268103, 2018
202018
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data
E Tartaglione, CA Barbano, C Berzovini, M Calandri, M Grangetto
Int. J. Environ. Res. Public Health 2020 17 (18), 6933, 2020
182020
Post-synaptic potential regularization has potential
E Tartaglione, D Perlo, M Grangetto
International Conference on Artificial Neural Networks, 187-200, 2019
42019
Take a Ramble into Solution Spaces for Classification Problems in Neural Networks
E Tartaglione, M Grangetto
International Conference on Image Analysis and Processing, 345-355, 2019
22019
Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima
E Tartaglione, A Bragagnolo, M Grangetto
arXiv preprint arXiv:2004.14765, 2020
12020
A non-discriminatory approach to ethical deep learning
E Tartaglione, M Grangetto
arXiv preprint arXiv:2008.01430, 2020
2020
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
E TARTAGLIONE, A BRAGAGNOLO, M GRANGETTO, L Skjalg
2020
From Statistical Physics to Algorithms in Deep Neural Systems
E Tartaglione
Politecnico di Torino, 2019
2019
Communication scheduling and buslet synthesis for low-interconnect HLS designs
E Tartaglione, S Dutt
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 86-93, 2015
2015
Communication Scheduling and Buslet-based Design: New Paradigms for High Level Synthesis
E TARTAGLIONE
Politecnico di Torino, 2015
2015
The system can't perform the operation now. Try again later.
Articles 1–11