Follow
Felix Dangel
Felix Dangel
Postdoc at the Vector Institute, Toronto
Verified email at vectorinstitute.ai - Homepage
Title
Cited by
Cited by
Year
Backpack: Packing more into backprop
F Dangel, F Kunstner, P Hennig
8th International Conference on Learning Representations (ICLR), 2019
1102019
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
892018
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
232017
Modular block-diagonal curvature approximations for feedforward architectures
F Dangel, S Harmeling, P Hennig
International Conference on Artificial Intelligence and Statistics, 799-808, 2020
18*2020
ViViT: Curvature access through the generalized Gauss-Newton's low-rank structure
F Dangel, L Tatzel, P Hennig
Transactions on Machine Learning Research, 2022
92022
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
92021
On the disconnect between theory and practice of overparametrized neural networks
J Wenger, F Dangel, A Kristiadi
arXiv preprint arXiv:2310.00137, 2023
32023
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
22024
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
A Kristiadi, F Dangel, P Hennig
NeurIPS, 2023
22023
Mikroskopische Beschreibung eines Einkoppelprozesses für PT-symmetrische Bose-Einstein-Kondensate
F Dangel
22015
Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC
W Lin, F Dangel, R Eschenhagen, K Neklyudov, A Kristiadi, RE Turner, ...
Forty-first International Conference on Machine Learning, 0
2*
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
M Elsayed, H Farrahi, F Dangel, AR Mahmood
arXiv preprint arXiv:2406.03276, 2024
12024
Backpropagation Beyond the Gradient
F Dangel
University of Tübingen, 2023
12023
Bosonic many-body systems with topologically nontrivial phases subject to gain and loss
F Dangel
12017
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
F Dangel, J Müller, M Zeinhofer
arXiv preprint arXiv:2405.15603, 2024
2024
Lowering PyTorch's Memory Consumption for Selective Differentiation
S Bhatia, F Dangel
arXiv preprint arXiv:2404.12406, 2024
2024
Convolutions Through the Lens of Tensor Networks
F Dangel
arXiv preprint arXiv:2307.02275, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–17