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

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning ICML 2023
Equilibrium Point Learning ACML 2023
Simultaneous Learning of Contact and Continuous Dynamics CORL 2023
Simulating Network Paths with Recurrent Buffering Units AAAI 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics ICML 2023
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium IJCAI 2023
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields NIPS 2023
Untangled: A Complete Dynamic Topological Logic AAAI 2023
Modulated Neural ODEs NIPS 2023
Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023
Bifurcations and loss jumps in RNN training NIPS 2023
Online Estimation of the Koopman Operator Using Fourier Features L4DC 2023
Estimating Koopman operators with sketching to provably learn large scale dynamical systems NIPS 2023
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis NIPS 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks NIPS 2023
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model NIPS 2023
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions NIPS 2023
Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees NIPS 2023
Koopman Kernel Regression NIPS 2023
ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks IJCAI 2023
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks L4DC 2023
Distributionally Robust Lyapunov Function Search Under Uncertainty L4DC 2023
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions L4DC 2023
Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks ICML 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems ICML 2023