Co-occurring keywords · papers mentioning both
Papers
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
ICML 2022
Learning Deep Input-Output Stable Dynamics
NeurIPS 2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
NeurIPS 2022
Learning interacting dynamical systems with latent Gaussian process ODEs
NeurIPS 2022
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms
CoRL 2022
Linearization and Identification of Multiple-Attractor Dynamical Systems through Laplacian Eigenmaps
JMLR 2022
Long Expressive Memory for Sequence Modeling
ICLR 2022
LTL on Weighted Finite Traces: Formal Foundations and Algorithms
IJCAI 2022
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
ICML 2022
Multi-Task Dynamical Systems
JMLR 2022
Neural Abstractions
NeurIPS 2022
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
ICLR 2022
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
ICML 2022
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees
NeurIPS 2022
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
L4DC 2022
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
ICML 2022
Neural Piecewise-Constant Delay Differential Equations
AAAI 2022
Neural Relational Inference with Node-Specific Information
ICLR 2022
Neural Stochastic Control
NeurIPS 2022
(Non-)Convergence Results for Predictive Coding Networks
ICML 2022
On Scrambling Phenomena for Randomly Initialized Recurrent Networks
NeurIPS 2022
On the difficulty of learning chaotic dynamics with RNNs
NeurIPS 2022
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
NeurIPS 2022
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models
JMLR 2022
Robustness of model predictions under extension
UAI 2022