Co-occurring keywords · papers mentioning both
Papers
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
NeurIPS 2022
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
NeurIPS 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
COLT 2022
Sparsity in Continuous-Depth Neural Networks
NeurIPS 2022
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models
JMLR 2022
Stiffness-aware neural network for learning Hamiltonian systems
ICLR 2022
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs
IJCAI 2022
The Dynamics of Riemannian Robbins-Monro Algorithms
COLT 2022
Theoretically Provable Spiking Neural Networks
NeurIPS 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
ICML 2022
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
NeurIPS 2022
Using time-series privileged information for provably efficient learning of prediction models
AISTATS 2022
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
ICML 2022
12-Lead ECG Reconstruction via Koopman Operators
ICML 2021
A Data Driven, Convex Optimization Approach to Learning Koopman Operators
L4DC 2021
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
AISTATS 2021
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
L4DC 2021
A teacher-student framework to distill future trajectories
ICLR 2021
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
ICLR 2021
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization
AAAI 2021
Bifurcation Spiking Neural Network
JMLR 2021
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems
L4DC 2021
CDRNN: Discovering Complex Dynamics in Human Language Processing
ACL 2021
Charting and Navigating the Space of Solutions for Recurrent Neural Networks
NeurIPS 2021
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
NeurIPS 2021