conftrace_

dynamical system

398 papers

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DS

Co-occurring keywords

neural network (6616) recurrent neural network (1790) gaussian process (1200) variational inference (2069) time series (435) neural ordinary differential equation (139) graph neural network (3962) ordinary differential equation (139) koopman operator (38) bayesian inference (1907)

Papers

Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations IJCAI 2025
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure AAAI 2025
Structural Inference of Dynamical Systems with Conjoined State Space Models NIPS 2024
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NIPS 2024
Back to the Continuous Attractor NIPS 2024
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law EMNLP 2024
Automatically Learning Hybrid Digital Twins of Dynamical Systems NIPS 2024
Symmetry-Informed Governing Equation Discovery NIPS 2024
When are dynamical systems learned from time series data statistically accurate? NIPS 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024
Safety filters for black-box dynamical systems by learning discriminating hyperplanes L4DC 2024
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems JMLR 2024
Learning from many trajectories JMLR 2024
Marrying Causal Representation Learning with Dynamical Systems for Science NIPS 2024
Adaptive online non-stochastic control L4DC 2024
Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NIPS 2024
Stable Implementation of Probabilistic ODE Solvers JMLR 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers NIPS 2024
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach AAAI 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
A Graph Dynamics Prior for Relational Inference AAAI 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations NIPS 2024
Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions AAAI 2024