Rusch, T. Konstantin
- A Survey on Oversmoothing in Graph Neural Networks
2023/03/20 by T. Konstantin Rusch, Michael M. Bronstein, Rusch, T. Konstantin +3 · 65 citations
Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
- Graph-Coupled Oscillator Networks
2022/02/04 by T. Konstantin Rusch, Benjamin Paul Chamberlain, Rusch, T. Konstantin +7 · 23 citations
Computer Science · Physics and Astronomy · #Neural Networks and Reservoir Computing #Quantum and electron transport phenomena #Model Reduction and Neural Networks
- Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
2020/10/02 by T. Konstantin Rusch, Rusch, T. Konstantin, Siddhartha Mishra +1 · 18 citations
Computer Science · Neuroscience · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
- UnICORNN: A recurrent model for learning very long time dependencies
2021/03/09 by Rusch, T. Konstantin, Mishra, Siddhartha · 10 citations
#Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Long Expressive Memory for Sequence Modeling
2021/10/10 by T. Konstantin Rusch, Rusch, T. Konstantin, Siddhartha Mishra +5 · 10 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- How does over-squashing affect the power of GNNs?
2023/06/06 by Francesco Di Giovanni, T. Konstantin Rusch, Di Giovanni, Francesco +11 · 12 citations
Computer Science · Engineering · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Gradient Gating for Deep Multi-Rate Learning on Graphs
2022/10/02 by Rusch, T. Konstantin, Chamberlain, Benjamin P., Mahoney, Michael W. +2 · 9 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Oscillatory State-Space Models
2024/10/04 by T. Konstantin Rusch, Daniela Rus, Rusch, T. Konstantin +1 · 16 citations
Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Simulation Techniques and Applications
- Neural Oscillators are Universal
2023/05/15 by Samuel Lanthaler, T. Konstantin Rusch, Lanthaler, Samuel +3 · 5 citations
Computer Science · Physics and Astronomy · Engineering · #Neural Networks and Applications #Model Reduction and Neural Networks #Control Systems and Identification
- Relaxed Equivariance via Multitask Learning
2024/10/23 by Ahmed A. Elhag, T. Konstantin Rusch, Elhag, Ahmed A. +6 · 1 voice · 5 citations
Computer Science · #Machine Learning and Algorithms #Neural Networks and Applications #Seismology and Earthquake Studies #cs.LG
- Enhancing accuracy of deep learning algorithms by training with\n low-discrepancy sequences
2020/05/26 by Siddhartha Mishra, T. Konstantin Rusch, Mishra, Siddhartha +1 · 3 citations
Computer Science · Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical Methods and Algorithms
- Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo
2024/10/04 by Makram Chahine, T. Konstantin Rusch, Chahine, Makram +5 · 4 citations
Computer Science · Engineering · #62D05 #68T07 #68T40 #Advanced Vision and Imaging #FOS: Computer and information sciences #I.2.8 #I.2.9 #Machine Learning and Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization
- Multi-Scale Message Passing Neural PDE Solvers
2023/02/07 by Equer, Léonard, Rusch, T. Konstantin, Mishra, Siddhartha · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- Low Stein Discrepancy via Message-Passing Monte Carlo
2025/03/27 by Kirk, Nathan, Rusch, T. Konstantin, Zech, Jakob +1 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
- The Curious Case of In-Training Compression of State Space Models
2025/10/03 by Makram Chahine, Chahine, Makram, P. Nazari +5 · 2 citations
Computer Science · Engineering · Physics and Astronomy · #68T07 #Control Systems and Identification #FOS: Computer and information sciences #I.2.0 #I.2.7 #Machine Learning (cs.LG) #Machine Learning and Algorithms #Model Reduction and Neural Networks