Scholar
Simone Azeglio
Google Scholar ID: ld9Bs6oAAAAJ
Phd Candidate, Vision Institute & École Normale Supérieure, Paris
Citations & Impact
Citations
166
H-index
3
i10-index
2
Publications
17
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Organized workshops at major conferences including the “Symmetry and Geometry in Neural Representations” workshop at NeurIPS (2022-2023-2024), the “Symmetry, Invariance and Neural Representations Workshop” at the Bernstein Conference (2022-2023), and the “Sharpening Our Sight Workshop” at Cosyne 2024.
Research Experience
- Worked as a Research Engineer in Brice Bathellier’s Lab at the Hearing Institute (Institut Pasteur), developing activity-driven frameworks for the auditory pathway; interned at the Flatiron Institute (Simons Foundation) working on Bayesian inference and deep learning models for image and video encoding with Alex Williams; gained experience on ML at CERN (with Lorenzo Moneta); and worked on nonlinear models of spatial memory at the University of Ottawa with André Longtin and Leonard Maler.
Education
- PhD: Sorbonne University’s Vision Institute and École Normale Supérieure, supervised by Ulisse Ferrari, Peter Neri, and Olivier Marre.
Background
- Key Interests: Representation Learning, Vision, Biological Inspiration & Inductive Bias, Equivariant Representations, Generative Models, Information Theory, Alignment. Currently a PhD Candidate at Sorbonne University’s Vision Institute and École Normale Supérieure in Paris.
Miscellany
- Co-founder and member (ex-president) of the Machine Learning Journal Club (MLJC), a non-profit research organization focusing on interdisciplinary applications of Machine Learning (Scientific ML, Brain-Computer Interfaces, and Natural Language Processing).
