Scholar
Flavio Martinelli
Google Scholar ID: DabSKBgAAAAJ
EPFL
Citations & Impact
Citations
93
H-index
4
i10-index
3
Publications
8
Co-authors
0
Publications
Resume
Academic Achievements
- Published multiple papers, such as 'Flat Channels to Infinity in Neural Loss Landscapes' (accepted at NeurIPS); presented research at various academic conferences, including posters on RNN solution degeneracy and toy models of identifiability for neuroscience at the Bernstein conference.
Research Experience
- Conducts research at the EPFL Laboratory of Computational Neuroscience, involving reverse engineering of network parameters, learning difficulty of weight structures, and manipulation and interpretation of network models.
Education
- PhD: EPFL, supervised by Wulfram Gerstner and Johanni Brea.
Background
- PhD student at the Laboratory of Computational Neuroscience at EPFL, focusing on understanding weight structures in neural networks. Research interests include identifiability, trainability, and interpretability.
Miscellany
- Attended the MIT Brain, Minds and Machines summer school; personal interests include well-dressed photos.