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Felix Dangel
Scholar

Felix Dangel

Google Scholar ID: 9hlJ9W0AAAAJ
Postdoc at the Vector Institute, Toronto
Second-order optimizationautomatic differentiationdeep neural networkstensor networks
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
396
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
28
list available
Contact
Emailfelix.dangel@vectorinstitute.aiGitHubOpen ↗
Publications
16 items
How Bregman Divergences Shape Shampoo
2026
Cited
0
Exploiting weight-space symmetries for approximating curvature
2026
Cited
0
Reparametrizing Shampoo and SOAP for Subspace Basis Updates and BFloat16 Storage
2026
Cited
0
Generalizing the Geometry of Model Merging Through Frechet Averages
2026
Cited
0
Efficient Bilevel Optimization with KFAC-Based Hypergradients
2026
Cited
0
Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
2026
Cited
0
Sketching Low-Rank Plus Diagonal Matrices
2025
Cited
0
Understanding and Improving the Shampoo Optimizer via Kullback-Leibler Minimization
2025
Cited
0
Co-authors
15 total
Philipp Hennig
Philipp Hennig
University of Tübingen
Runa Eschenhagen
Runa Eschenhagen
PhD student, University of Cambridge
Agustinus Kristiadi
Agustinus Kristiadi
Assistant Professor, Western University
Richard E Turner
Richard E Turner
Professor, University of Cambridge
Frederik Kunstner
Frederik Kunstner
INRIA
Juhan Bae
Juhan Bae
University of Toronto
Marius Zeinhofer
Marius Zeinhofer
ETH Postdoctoral Fellow
Lukas Tatzel
Lukas Tatzel
University of Tübingen, Tübingen AI Center