T. Konstantin Rusch

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Message Passing

Training Process

Top Venues

SIAM J. Numer. Anal.

Publications

T. Konstantin Rusch, Nathan Kirk, Michael M. Bronstein, Christiane Lemieux, Daniela Rus
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks. CoRR (2024)
Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
How does over-squashing affect the power of GNNs? Trans. Mach. Learn. Res. 2024 (2024)
T. Konstantin Rusch, Michael M. Bronstein, Siddhartha Mishra
A Survey on Oversmoothing in Graph Neural Networks. CoRR (2023)
Léonard Equer, T. Konstantin Rusch, Siddhartha Mishra
Multi-Scale Message Passing Neural PDE Solvers. CoRR (2023)
T. Konstantin Rusch, Benjamin Paul Chamberlain, Michael W. Mahoney, Michael M. Bronstein, Siddhartha Mishra
Gradient Gating for Deep Multi-Rate Learning on Graphs. ICLR (2023)
Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
How does over-squashing affect the power of GNNs? CoRR (2023)
Samuel Lanthaler, T. Konstantin Rusch, Siddhartha Mishra
Neural Oscillators are Universal. NeurIPS (2023)
Samuel Lanthaler, T. Konstantin Rusch, Siddhartha Mishra
Neural Oscillators are Universal. CoRR (2023)
T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W. Mahoney
Long Expressive Memory for Sequence Modeling. ICLR (2022)
T. Konstantin Rusch, Benjamin Paul Chamberlain, Michael W. Mahoney, Michael M. Bronstein, Siddhartha Mishra
Gradient Gating for Deep Multi-Rate Learning on Graphs. CoRR (2022)
T. Konstantin Rusch, Benjamin Paul Chamberlain, James Rowbottom, Siddhartha Mishra, Michael M. Bronstein
Graph-Coupled Oscillator Networks. CoRR (2022)
T. Konstantin Rusch, Ben Chamberlain, James Rowbottom, Siddhartha Mishra, Michael M. Bronstein
Graph-Coupled Oscillator Networks. ICML (2022)
Marcello Longo, Siddhartha Mishra, T. Konstantin Rusch, Christoph Schwab
Higher-Order Quasi-Monte Carlo Training of Deep Neural Networks. SIAM J. Sci. Comput. 43 (6) (2021)
T. Konstantin Rusch, Siddhartha Mishra
UnICORNN: A recurrent model for learning very long time dependencies. ICML (2021)
Siddhartha Mishra, T. Konstantin Rusch
Enhancing Accuracy of Deep Learning Algorithms by Training with Low-Discrepancy Sequences. SIAM J. Numer. Anal. 59 (3) (2021)
T. Konstantin Rusch, Siddhartha Mishra
UnICORNN: A recurrent model for learning very long time dependencies. CoRR (2021)
T. Konstantin Rusch, Siddhartha Mishra
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies. ICLR (2021)
T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W. Mahoney
Long Expressive Memory for Sequence Modeling. CoRR (2021)
T. Konstantin Rusch, Siddhartha Mishra
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies. CoRR (2020)
Siddhartha Mishra, T. Konstantin Rusch
Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences. CoRR (2020)
Marcello Longo, Siddhartha Mishra, T. Konstantin Rusch, Christoph Schwab
Higher-order Quasi-Monte Carlo Training of Deep Neural Networks. CoRR (2020)