Co-occurring keywords · papers mentioning both
Papers
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
AAAI 2025
Neural Context Flows for Meta-Learning of Dynamical Systems
ICLR 2025
Neural Variable-Order Fractional Differential Equation Networks
AAAI 2025
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs
ICLR 2025
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
AAAI 2025
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
AAAI 2025
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
ICLR 2025
Predictive Monitoring of Black-Box Dynamical Systems
L4DC 2025
Reasoning in Visual Navigation of End-to-end Trained Agents: A Dynamical Systems Approach
CVPR 2025
Scalable Mechanistic Neural Networks
ICLR 2025
Semi-Implicit Neural Ordinary Differential Equations
AAAI 2025
Symbolic Neural Ordinary Differential Equations
AAAI 2025
Systems with Switching Causal Relations: A Meta-Causal Perspective
ICLR 2025
TamedPUMA: safe and stable imitation learning with geometric fabrics
L4DC 2025
The Complexity of Sequential Prediction in Dynamical Systems
L4DC 2025
Topological State Space Inference for Dynamical Systems
L4DC 2025
Towards a dynamical model of transitions between fluent and stuttered speech
Interspeech 2025
Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations
IJCAI 2025
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
ACL 2025
When Graph Neural Networks Meet Dynamic Mode Decomposition
ICLR 2025
Zero-shot forecasting of chaotic systems
ICLR 2025
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
ICLR 2025
Active learning of neural population dynamics using two-photon holographic optogenetics
NeurIPS 2024
Adaptive online non-stochastic control
L4DC 2024
A Graph Dynamics Prior for Relational Inference
AAAI 2024