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ORCIDMartino Sorbaro 0001
Person information
- affiliation: University of Zürich, ETH, Institute of Neuroinformatics, Switzerland
- affiliation (PhD 2019): University of Edinburgh, UK
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2020 – today
- 2024
[c1]Ravi Francesco Srinivasan, Francesca Mignacco
, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera:
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization. ICLR 2024- 2023
- [j2]Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe:
Bio-inspired, task-free continual learning through activity regularization. Biol. Cybern. 117(4): 345-361 (2023) - [i4]Ravi Francesco Srinivasan, Francesca Mignacco, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera:
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization. CoRR abs/2302.05440 (2023) - 2022
- [i3]Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe:
Bio-Inspired, Task-Free Continual Learning through Activity Regularization. CoRR abs/2212.04316 (2022) - 2021
- [i2]Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro:
Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision. CoRR abs/2110.02929 (2021) - 2020
- [j1]Michael Everett Rule, Martino Sorbaro, Matthias H. Hennig:
Optimal Encoding in Stochastic Latent-Variable Models. Entropy 22(7): 714 (2020)
2010 – 2019
- 2019
- [b1]Martino Sorbaro Sindaci:
Statistical modelling of neuronal population activity: from data analysis to network function. University of Edinburgh, UK, 2019 - [i1]Martino Sorbaro, Qian Liu, Massimo Bortone, Sadique Sheik:
Optimizing the energy consumption of spiking neural networks for neuromorphic applications. CoRR abs/1912.01268 (2019)
Coauthor Index
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