conftrace_

dynamical system

490 papers

Explore in graph

Also known as

DS

Co-occurring keywords · papers mentioning both

recurrent neural network (48) neural network (44) time series (33) neural ordinary differential equation (30) variational inference (30) gaussian process (29) graph neural network (24) ordinary differential equation (21) koopman operator (20) system identification (17)

Papers

Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NeurIPS 2024 A sampling theory perspective on activations for implicit neural representations ICML 2024 A scalable generative model for dynamical system reconstruction from neuroimaging data NeurIPS 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NeurIPS 2024 Automatically Learning Hybrid Digital Twins of Dynamical Systems NeurIPS 2024 Back to the Continuous Attractor NeurIPS 2024 Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data NeurIPS 2024 ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence NeurIPS 2024 Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models NeurIPS 2024 Deep Neural Network Approximation of Invariant Functions through Dynamical Systems JMLR 2024 Disentangling Linear Quadratic Control with Untrusted ML Predictions NeurIPS 2024 Dynamic Tangled Derivative Logic of Metric Spaces AAAI 2024 Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks ICML 2024 Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024 eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NeurIPS 2024 Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World ICLR 2024 Flexible Context-Driven Sensory Processing in Dynamical Vision Models NeurIPS 2024 Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers NeurIPS 2024 HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NeurIPS 2024 Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NeurIPS 2024 Identifying Equivalent Training Dynamics NeurIPS 2024 Inferring stochastic low-rank recurrent neural networks from neural data NeurIPS 2024 Latent Space Symmetry Discovery ICML 2024 Learnability of Linear Port-Hamiltonian Systems JMLR 2024 Learning from many trajectories JMLR 2024