Sledovat
T. Konstantin Rusch
Název
Citace
Citace
Rok
A survey on oversmoothing in graph neural networks
TK Rusch, MM Bronstein, S Mishra
arXiv preprint arXiv:2303.10993, 2023
2382023
Graph-coupled oscillator networks
TK Rusch, B Chamberlain, J Rowbottom, S Mishra, M Bronstein
International Conference on Machine Learning, 18888-18909, 2022
1372022
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
TK Rusch, S Mishra
ICLR (Oral), 2021
1062021
Unicornn: A recurrent model for learning very long time dependencies
TK Rusch, S Mishra
International Conference on Machine Learning, 9168-9178, 2021
822021
Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences
S Mishra, TK Rusch
SIAM Journal on Numerical Analysis 59 (3), 1811-1834, 2021
672021
Gradient Gating for Deep Multi-Rate Learning on Graphs
TK Rusch, BP Chamberlain, MW Mahoney, MM Bronstein, S Mishra
ICLR, 2023
572023
Long Expressive Memory for Sequence Modeling
TK Rusch, S Mishra, NB Erichson, MW Mahoney
ICLR (Spotlight), 2022
512022
How does over-squashing affect the power of GNNs?
F Di Giovanni*, TK Rusch*, MM Bronstein, A Deac, M Lackenby, S Mishra, ...
Transactions on Machine Learning Research, 2024
35*2024
Higher-order quasi-Monte Carlo training of deep neural networks
M Longo, S Mishra, TK Rusch, C Schwab
SIAM Journal on Scientific Computing 43 (6), A3938-A3966, 2021
282021
A survey on oversmoothing in graph neural networks. arXiv
TK Rusch, MM Bronstein, S Mishra
arXiv preprint arXiv:2303.10993, 2023
14*2023
Neural oscillators are universal
S Lanthaler, TK Rusch, S Mishra
Advances in Neural Information Processing Systems 36, 2024
122024
Multi-Scale Message Passing Neural PDE Solvers
L Equer, TK Rusch, S Mishra
ICLR 2023 Workshop on Physics for Machine Learning, 2023
122023
Message-Passing Monte Carlo: Generating low-discrepancy point sets via graph neural networks
TK Rusch, N Kirk, MM Bronstein, C Lemieux, D Rus
Proceedings of the National Academy of Sciences 121 (40), e2409913121, 2024
32024
Oscillatory state-space models
TK Rusch, D Rus
ICLR (Oral), 2025
22025
Reproducing Existing Nacelle Geometries With the Free-Form Deformation Parametrization
K Rusch, M Siggel, RG Becker
Turbo Expo: Power for Land, Sea, and Air 51029, V02DT46A015, 2018
12018
Relaxed Equivariance via Multitask Learning
AA Elhag, TK Rusch, F Di Giovanni, M Bronstein
arXiv preprint arXiv:2410.17878, 2024
2024
Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo
M Chahine, TK Rusch, ZJ Patterson, D Rus
arXiv preprint arXiv:2410.03909, 2024
2024
Physics-inspired Machine Learning
TK Rusch
ETH Zurich, 2023
2023
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Články 1–18