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Gabriele Lagani
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2020 – today
- 2024
- [j3]Gabriele Lagani
, Fabrizio Falchi
Scalable bio-inspired training of Deep Neural Networks with FastHebb. Neurocomputing 595: 127867 (2024) - 2023
- [c9]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
AIMH Lab for a Susteinable Bio-Inspired AI. Ital-IA 2023: 575-584 - [c8]Gabriele Lagani:
Scaling Bio-Inspired Neural Features to Real-World Image Retrieval Problems. SEBD 2023: 711-717 - [i7]Gabriele Lagani
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey. CoRR abs/2307.16235 (2023) - [i6]Gabriele Lagani
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey. CoRR abs/2307.16236 (2023) - 2022
- [j2]Gabriele Lagani
Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks. Neural Comput. Appl. 34(8): 6503-6519 (2022) - [c7]Gabriele Lagani
Deep Features for CBIR with Scarce Data using Hebbian Learning. CBMI 2022: 136-141 - [c6]Gabriele Lagani:
Recent Advancements on Bio-Inspired Hebbian Learning for Deep Neural Networks. SEBD 2022: 610-615 - [c5]Gabriele Lagani
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. SISAP 2022: 251-264 - [i5]Gabriele Lagani
Deep Features for CBIR with Scarce Data using Hebbian Learning. CoRR abs/2205.08935 (2022) - [i4]Gabriele Lagani
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. CoRR abs/2207.03172 (2022) - 2021
- [j1]Gabriele Lagani
Hebbian semi-supervised learning in a sample efficiency setting. Neural Networks 143: 719-731 (2021) - [c4]Gabriele Lagani
Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches. LOD 2021: 25-40 - [c3]Gabriele Lagani
Evaluating Hebbian Learning in a Semi-supervised Setting. LOD 2021: 365-379 - [c2]Gabriele Lagani
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation. NER 2021: 726-729 - [i3]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting. CoRR abs/2103.09002 (2021) - 2020
- [i2]Gabriele Lagani, Raffaele Mazziotti, Fabrizio Falchi
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation. CoRR abs/2012.10355 (2020) - [i1]Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi
Training Convolutional Neural Networks With Hebbian Principal Component Analysis. CoRR abs/2012.12229 (2020)
2010 – 2019
- 2019
- [c1]Giuseppe Amato
Hebbian Learning Meets Deep Convolutional Neural Networks. ICIAP (1) 2019: 324-334
Coauthor Index
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