Co-occurring keywords · papers mentioning both
Papers
Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems
UAI 2026
Residual Koopman Spectral Profiling for Predicting and Preventing Transformer Training Instability
UAI 2026
Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition
L4DC 2026
Informative Input Design for Dynamic Mode Decomposition
L4DC 2025
When Graph Neural Networks Meet Dynamic Mode Decomposition
ICLR 2025
PyDMD: A Python Package for Robust Dynamic Mode Decomposition
JMLR 2024
Learning Object-Centric Dynamic Modes from Video and Emerging Properties
L4DC 2023
Data-Efficient Model Learning for Control with Jacobian-Regularized Dynamic-Mode Decomposition
CoRL 2022
Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition
L4DC 2022
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization
AAAI 2021
EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification
Interspeech 2020
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise
JMLR 2020
EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition
ACL 2019
Bayesian Dynamic Mode Decomposition
IJCAI 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
NeurIPS 2017
Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis
NeurIPS 2016