:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Russo, Benjamin, Laiu, M. Paul
Format:	Preprint
Published:	2022
Subjects:	Numerical Analysis Machine Learning Systems and Control Dynamical Systems 37M10, 62J99, 62-07, 65L60, 41A10
Online Access:	https://arxiv.org/abs/2209.15573
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Streaming Compression of Scientific Data via weak-SINDy
by: Russo, Benjamin P., et al.
Published: (2023)

A Robbins--Monro Sequence That Can Exploit Prior Information For Faster Convergence
by: Liu, Siwei, et al.
Published: (2024)

A Novel Hybrid Approach for Time Series Forecasting: Period Estimation and Climate Data Analysis Using Unsupervised Learning and Spline Interpolation
by: Kayal, Tanmay, et al.
Published: (2025)

A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs
by: Patsatzis, Dimitrios G., et al.
Published: (2024)

LDMD with Temporally Adaptive Segmentation
by: Li, Qiuqi, et al.
Published: (2025)

A probabilistic approach to drift estimation from stochastic data
by: Das, Suddhasattwa
Published: (2024)

Coherent set identification via direct low rank maximum likelihood estimation
by: Polzin, Robert, et al.
Published: (2023)

On the numerical computation of $R_0$ in periodic environments
by: Breda, Dimitri, et al.
Published: (2025)

A new sparsity promoting residual transform operator for Lasso regression
by: Xiao, Yao, et al.
Published: (2025)

Error Estimation and Stopping Criteria for Krylov-Based Model Order Reduction in Acoustics
by: Hu, Siyang, et al.
Published: (2024)

Data-driven optimal prediction with control
by: Katrutsa, Aleksandr, et al.
Published: (2024)

Pseudo-Hamiltonian system identification
by: Holmsen, Sigurd, et al.
Published: (2023)

Parameter estimation for partially observed second-order diffusion processes
by: Albrecht, Jan, et al.
Published: (2024)

On the emergence of numerical instabilities in Next Generation Reservoir Computing
by: Santos, Edmilson Roque dos, et al.
Published: (2025)

On Higher Order Drift and Diffusion Estimates for Stochastic SINDy
by: Wanner, Mathias, et al.
Published: (2023)

Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy
by: Tian, Moyi, et al.
Published: (2026)

Entropy based lower dimension bounds for finite-time prediction of Dynamic Mode Decomposition algorithms
by: Hauser, Till, et al.
Published: (2025)

Hamiltonian Monte Carlo methods for spectroscopy data analysis
by: McBride, Daniel, et al.
Published: (2024)

On Erlang mixture approximations for differential equations with distributed time delays
by: Ritschel, Tobias K. S.
Published: (2025)

Modeling Unknown Stochastic Dynamical System Subject to External Excitation
by: Chen, Yuan, et al.
Published: (2024)

Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2025)

Invariant Manifolds of Discrete-time Dynamical Systems with Nonlinear Exosystems via Hybrid Physics-Informed Neural Networks
by: Patsatzis, Dimitrios G., et al.
Published: (2025)

Sobol' Matrices For Multi-Output Models With Quantified Uncertainty
by: Milton, Robert A., et al.
Published: (2025)

From STLS to Projection-based Dictionary Selection in Sparse Regression for System Identification
by: Cho, Hangjun, et al.
Published: (2025)

Stochastic parameterisation: the importance of nonlocality and memory
by: Brolly, Martin T.
Published: (2024)

Ergodicity bounds in the Sliced Wasserstein distance for Schur stable autoregressive processes
by: Barrera, Gerardo, et al.
Published: (2025)

Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator
by: Gallos, Ioannis K., et al.
Published: (2023)

Solving, Tracking and Stopping Streaming Linear Inverse Problems
by: Pritchard, Nathaniel, et al.
Published: (2022)

Statistical inference for Levy-driven graph supOU processes: From short- to long-memory in high-dimensional time series
by: Mehta, Shreya, et al.
Published: (2025)

Derive boundary conditions for holistic discretisations of Burgers' equation
by: Roberts, A. J.
Published: (2001)

Holistic projection of initial conditions onto a finite difference approximation
by: Roberts, A. J.
Published: (2001)

A holistic finite difference approach models linear dynamics consistently
by: Roberts, A. J.
Published: (2000)

Convergence rate of Euler-Maruyama scheme to the invariant probability measure under total variation distance
by: Wang, Yuke, et al.
Published: (2025)

Error analysis for learning fractional stochastic differential equations with applications in neural approximations
by: Dehshiri, Mahdi, et al.
Published: (2026)

Energy-Based Modeling and Structure-Preserving Discretization of Physical Systems
by: Rashid, M. H. M
Published: (2025)

A non-autonomous Hamiltonian diffeomorphism with roots of all orders
by: Grunder, Nicolas, et al.
Published: (2025)

Time-limited Balanced Truncation for Data Assimilation Problems
by: König, Josie, et al.
Published: (2022)

Event-Level Probabilistic Prediction of Extreme Rainfall over India Using Physics-Gated Latent Dynamics
by: Neelan, Arun Govind
Published: (2026)

A discrete gradient scheme for preserving QSR-dissipativity
by: Karsai, Attila, et al.
Published: (2026)

Minimal $\ell^2$ Norm Discrete Multiplier Method
by: Schulz, Erick, et al.
Published: (2022)