📉 ODE - pfh

Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective

First-Order Trajectory Matching: Fast Ensemble Predictions of Chaotic, Turbulent, Stochastic Systems

🔗Markov Chains Academic

arxiv.org·

MetaboliSim: a Python implementation of the Mader model for dynamic and steady-state simulation of muscular energy metabolism

🎲Stochastic differential equation Academic

arxiv.org·

Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction

🎲Stochastic differential equation Academic

arxiv.org·

Empirical Transfer Operators and Finite-Sample Change Detection for Noisy Expanding Interval Maps

🔗Markov Chains Academic

arxiv.org·

Input-to-State Stable Bundle Koopman Neural ODEs for Learning Controlled Dynamics under Environmental Constraints

🎲Stochastic differential equation Academic

arxiv.org·

On statistical inference for non-linear dynamical systems evolving in their global attractor

📊Empirical Bayes Academic

arxiv.org·

Proof that the Klein-Gordon type equation with alpha attractor potential has no Liouvillian solution or as a composition of special functions

🎲Stochastic differential equation Academic

arxiv.org·

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems

🔗Markov Chains Academic

arxiv.org·

Vector Space of Cycles

🗺️Manifold Learning Academic

arxiv.org·

Boundary-Layer-Induced Failure of Standard Physics-Informed Neural Networks: A Legendre Wavelet Collocation Benchmark for Singularly Perturbed Transport Problem...

⛰️Gradient Descent Academic

arxiv.org·

Learning from Demonstrations over Riemannian Manifolds using Neural ODEs: An Extended Abstract

🎲Stochastic differential equation Academic

arxiv.org·

Optimal Control and Dissipativity of Linear Hermitian Matrix-Valued Dynamical Systems

🎪Convex Optimization Academic

arxiv.org·

Dual Lyapunov-based Synchronization Control of R\"ossler System

🎪Convex Optimization Academic

arxiv.org·

From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models

🎲Stochastic differential equation Academic

arxiv.org·

Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections

⛰️Gradient Descent Academic

arxiv.org·

Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective

Predictive modeling in biology and medicine: Digital twins and multi-scale modeling

Parameter uncertainty in dynamical models: a practical identifiability index

Energetics of Nucleation in Finitely Deformed, Phase-Transforming Soft Solids

Inferring hidden forcing in a biological oscillator using Kolmogorov-Arnold networks

First-Order Trajectory Matching: Fast Ensemble Predictions of Chaotic, Turbulent, Stochastic Systems

MetaboliSim: a Python implementation of the Mader model for dynamic and steady-state simulation of muscular energy metabolism

Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction

Empirical Transfer Operators and Finite-Sample Change Detection for Noisy Expanding Interval Maps

Input-to-State Stable Bundle Koopman Neural ODEs for Learning Controlled Dynamics under Environmental Constraints

On statistical inference for non-linear dynamical systems evolving in their global attractor

Proof that the Klein-Gordon type equation with alpha attractor potential has no Liouvillian solution or as a composition of special functions

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems

Vector Space of Cycles

Boundary-Layer-Induced Failure of Standard Physics-Informed Neural Networks: A Legendre Wavelet Collocation Benchmark for Singularly Perturbed Transport Problem...

Learning from Demonstrations over Riemannian Manifolds using Neural ODEs: An Extended Abstract

Optimal Control and Dissipativity of Linear Hermitian Matrix-Valued Dynamical Systems

Dual Lyapunov-based Synchronization Control of R\"ossler System

From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models

Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections