Rusch, T. Konstantin

15 publications

CoRL 2025 Improving Efficiency of Sampling-Based Motion Planning via Message-Passing Monte Carlo Makram Chahine, T. Konstantin Rusch, Zach J Patterson, Daniela Rus

ICLRW 2025 Improving Efficiency of Sampling-Based Motion Planning via Message-Passing Monte Carlo Makram Chahine, T. Konstantin Rusch, Zach J Patterson, Daniela Rus

ICLRW 2025 Low Stein Discrepancy via Message-Passing Monte Carlo Nathan Kirk, T. Konstantin Rusch, Jakob Zech, Daniela Rus

ICLR 2025 Oscillatory State-Space Models T. Konstantin Rusch, Daniela Rus

ICLRW 2025 Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag, T. Konstantin Rusch, Francesco Di Giovanni, Michael M. Bronstein

TMLR 2024 How Does Over-Squashing Affect the Power of GNNs? Francesco Di Giovanni, T. Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Veličković

ICMLW 2024 Message-Passing Monte Carlo: Generating Low-Discrepancy Point Sets via Graph Neural Networks T. Konstantin Rusch, Nathan Kirk, Michael M. Bronstein, Christiane Lemieux, Daniela Rus

ICLR 2023 Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch, Benjamin Paul Chamberlain, Michael W. Mahoney, Michael M. Bronstein, Siddhartha Mishra

NeurIPSW 2023 How Does Over-Squashing Affect the Power of GNNs? Francesco Di Giovanni, T. Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Veličković

ICLRW 2023 Multi-Scale Message Passing Neural PDE Solvers Léonard Equer, T. Konstantin Rusch, Siddhartha Mishra

NeurIPS 2023 Neural Oscillators Are Universal Samuel Lanthaler, T. Konstantin Rusch, Siddhartha Mishra

ICML 2022 Graph-Coupled Oscillator Networks T. Konstantin Rusch, Ben Chamberlain, James Rowbottom, Siddhartha Mishra, Michael Bronstein

ICLR 2022 Long Expressive Memory for Sequence Modeling T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W. Mahoney

ICLR 2021 Coupled Oscillatory Recurrent Neural Network (coRNN): An Accurate and (gradient) Stable Architecture for Learning Long Time Dependencies T. Konstantin Rusch, Siddhartha Mishra

ICML 2021 UnICORNN: A Recurrent Model for Learning Very Long Time Dependencies T. Konstantin Rusch, Siddhartha Mishra