SDYN-GANs: adversarial learning methods for multistep generative models for general order stochastic dynamics

Cites Work

Large Sample Properties of Generalized Method of Moments Estimators
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Energy statistics: a class of statistics based on distances
The Ornstein-Uhlenbeck process as a model for neuronal activity. I. Mean and variance of the firing time
Theory of reproducing kernels and applications
Meshfree methods on manifolds for hydrodynamic flows on curved surfaces: a generalized moving least-squares (GMLS) approach
A stochastic immersed boundary method for fluid-structure dynamics at microscopic length scales
Adjoint-based Monte Carlo calibration of financial methods
Stability of a 4th-order curvature condition arising in optimal transport theory
Higher-order implicit strong numerical schemes for stochastic differential equations
Temporal-kernel recurrent neural networks
Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control
On the theory of the Brownian motion.
Nonlinear black-box modeling in system identification: A unified overview
Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems
Learning generative neural networks with physics knowledge
Enforcing constraints for interpolation and extrapolation in generative adversarial networks
Coercing machine learning to output physically accurate results
Deep learning algorithm for data-driven simulation of noisy dynamical system
Synthesis of recurrent neural networks for dynamical system simulation
On dynamic mode decomposition: theory and applications
Non-cooperative games
Continuous Markov processes and stochastic equations
Analytical survival analysis of the Ornstein-Uhlenbeck process
LaSDI: parametric latent space dynamics identification
Game theory
Machine learning. A probabilistic perspective
Hilbert space embeddings and metrics on probability measures
Stochastic Reductions for Inertial Fluid-Structure Interactions Subject to Thermal Fluctuations
Dynamic mode decomposition of numerical and experimental data
Tensor Spaces and Numerical Tensor Calculus
Divergence measures based on the Shannon entropy
A First Course in the Numerical Analysis of Differential Equations
Graphical Models, Exponential Families, and Variational Inference
Conception optimale ou identification de formes, calcul rapide de la dérivée directionnelle de la fonction coût
Approximate Integration of Stochastic Differential Equations
A recurrent neural network for modelling dynamical systems
Integral Probability Metrics and Their Generating Classes of Functions
Analysis of Fluid Flows via Spectral Properties of the Koopman Operator
A model for alignment between microscopic rods and vorticity
Stochastic Volatility With an Ornstein–Uhlenbeck Process: An Extension
Generative Ensemble Regression: Learning Particle Dynamics from Observations of Ensembles with Physics-informed Deep Generative Models
Dissipation and Control in Microscopic Nonequilibrium Systems
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
Data-driven discovery of coordinates and governing equations
An equilibrium characterization of the term structure
Algorithmic Game Theory
Multistep methods for SDEs and their application to problems with small noise
Numerical Analysis of Stochastic Schemes in Geophysics
Theory of Reproducing Kernels
On Information and Sufficiency
A Stochastic Approximation Method
Probabilistic graphical models. Principles and applications
An implicit function theorem
The elements of statistical learning. Data mining, inference, and prediction
An introduction to the adjoint approach to design
New results in linear filtering and prediction theory
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)

This page was built for publication: SDYN-GANs: adversarial learning methods for multistep generative models for general order stochastic dynamics

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6639347)