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Felix Dangel
Felix Dangel
Postdoc at the Vector Institute, Toronto
Zweryfikowany adres z vectorinstitute.ai - Strona główna
Tytuł
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Cytowane przez
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Backpack: Packing more into backprop
F Dangel, F Kunstner, P Hennig
8th International Conference on Learning Representations (ICLR), 2019
1012019
Topological invariants in dissipative extensions of the Su-Schrieffer-Heeger model
F Dangel, M Wagner, H Cartarius, J Main, G Wunner
Physical Review A 98 (1), 013628, 2018
842018
Numerical calculation of the complex berry phase in non-Hermitian systems
M Wagner, F Dangel, H Cartarius, J Main, G Wunner
arXiv preprint arXiv:1708.03230, 2017
222017
Modular block-diagonal curvature approximations for feedforward architectures
F Dangel, S Harmeling, P Hennig
International Conference on Artificial Intelligence and Statistics, 799-808, 2020
16*2020
Cockpit: A practical debugging tool for the training of deep neural networks
F Schneider, F Dangel, P Hennig
Advances in Neural Information Processing Systems 34, 20825-20837, 2021
82021
ViViT: Curvature access through the generalized Gauss-Newton's low-rank structure
F Dangel, L Tatzel, P Hennig
Transactions on Machine Learning Research, 2022
62022
Mikroskopische Beschreibung eines Einkoppelprozesses für PT-symmetrische Bose-Einstein-Kondensate
F Dangel
22015
On the disconnect between theory and practice of overparametrized neural networks
J Wenger, F Dangel, A Kristiadi
arXiv preprint arXiv:2310.00137, 2023
12023
Backpropagation Beyond the Gradient
F Dangel
University of Tübingen, 2023
12023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
A Kristiadi, F Dangel, P Hennig
NeurIPS, 2023
12023
Bosonic many-body systems with topologically nontrivial phases subject to gain and loss
F Dangel
12017
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
W Lin, F Dangel, R Eschenhagen, J Bae, RE Turner, A Makhzani
arXiv preprint arXiv:2402.03496, 2024
2024
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets
W Lin, F Dangel, R Eschenhagen, K Neklyudov, A Kristiadi, RE Turner, ...
arXiv preprint arXiv:2312.05705, 2023
2023
Convolutions Through the Lens of Tensor Networks
F Dangel
arXiv preprint arXiv:2307.02275, 2023
2023
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