T. Konstantin Rusch
8 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
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Hot Topic Early Bird
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Keyword Champion
(2)
Venues
Top co-authors
Research topics
Deep Learning
(8)
Architectures
(8)
Machine Learning
(7)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(2)
Core AI
(2)
Core Methods
(2)
Optimization & Theory · Deep Learning
(2)
Mathematics & Optimization
(1)
Robotics
(1)
Capabilities
(1)
Mathematics
(1)
Models
(1)
Optimization
(1)
Techniques
(1)
Keywords
graph neural network
(3)
recurrent neural network
(3)
sequence modeling
(3)
harmonic oscillator
(2)
gradient propagation
(2)
coupled oscillator
(2)
message passing
(1)
time series forecasting
(1)
continuous operators
(1)
state space model
(1)
dynamical system
(1)
hidden state
(1)
long short-term memory
(1)
node classification
(1)
ordinary differential equation
(1)
vanishing gradient
(1)
gradient-based learning
(1)
orthogonal matrix
(1)
long-range dependencies
(1)
neural network
(1)
Papers
Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo
CoRL 2025
Oscillatory State-Space Models
ICLR 2025
Gradient Gating for Deep Multi-Rate Learning on Graphs
ICLR 2023
Neural Oscillators are Universal
NeurIPS 2023
Graph-Coupled Oscillator Networks
ICML 2022
Long Expressive Memory for Sequence Modeling
ICLR 2022
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
ICLR 2021
UnICORNN: A recurrent model for learning very long time dependencies
ICML 2021