Cover Image

Minimum distance classification for nonlinear dynamical systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Martinez, Dominique
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A method for identifying causality in the response of nonlinear dynamical systems
by: Massingham, Joseph, et al.
Published: (2024)

Minimum Wasserstein distance estimator under covariate shift: closed-form, super-efficiency and irregularity
by: Lang, Junjun, et al.
Published: (2026)

Deep Koopman operator framework for causal discovery in nonlinear dynamical systems
by: Nathaniel, Juan, et al.
Published: (2025)

Data-driven identification of nonlinear dynamical systems with LSTM autoencoders and Normalizing Flows
by: Rostamijavanani, Abdolvahhab, et al.
Published: (2025)

Deep learning architectures for data-driven damage detection in nonlinear dynamic systems
by: Joseph, Harrish, et al.
Published: (2024)

Sparse identification of nonlinear dynamics in the presence of library and system uncertainty
by: O'Brien, Andrew
Published: (2024)

Data-driven system identification using quadratic embeddings of nonlinear dynamics
by: Klus, Stefan, et al.
Published: (2025)

Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems
by: Wang, Xintong, et al.
Published: (2025)

Physics-informed AI and ML-based sparse system identification algorithm for discovery of PDE's representing nonlinear dynamic systems
by: Pal, Ashish, et al.
Published: (2024)

Probabilistic function-on-function nonlinear autoregressive model for emulation and reliability analysis of dynamical systems
by: Song, Zhouzhou, et al.
Published: (2026)

Minimum-Excess-Work Guidance
by: Kolloff, Christopher, et al.
Published: (2025)

Comparing noisy neural population dynamics using optimal transport distances
by: Nejatbakhsh, Amin, et al.
Published: (2024)

Surrogate modeling for uncertainty quantification in nonlinear dynamics
by: Marelli, S., et al.
Published: (2025)

Reducing the Transformer Architecture to a Minimum
by: Bermeitinger, Bernhard, et al.
Published: (2024)

Generative learning for nonlinear dynamics
by: Gilpin, William
Published: (2023)

Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks
by: Elaarabi, Mouad, et al.
Published: (2025)

On latent dynamics learning in nonlinear reduced order modeling
by: Farenga, Nicola, et al.
Published: (2024)

Minimum-Norm Interpolation Under Covariate Shift
by: Mallinar, Neil, et al.
Published: (2024)

Fisher-Rao distance and pullback SPD cone distances between multivariate normal distributions
by: Nielsen, Frank
Published: (2023)

The Cellwise Minimum Covariance Determinant Estimator
by: Raymaekers, Jakob, et al.
Published: (2022)

DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencoders
by: De Paepe, Geert, et al.
Published: (2024)

Approximating the total variation distance between spin systems
by: Feng, Weiming, et al.
Published: (2025)

Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning
by: Pan, Jingduo, et al.
Published: (2026)

Minimum Distance Summaries for Robust Neural Posterior Estimation
by: Khoo, Sherman, et al.
Published: (2026)

Minimum Empirical Divergence for Sub-Gaussian Linear Bandits
by: Balagopalan, Kapilan, et al.
Published: (2024)

Restricted Minimum Error Entropy Criterion for Robust Classification
by: Li, Yuanhao, et al.
Published: (2019)

Minimum Width of Deep Narrow Networks for Universal Approximation
by: Yang, Xiao-Song, et al.
Published: (2025)

Learning to Match Unpaired Data with Minimum Entropy Coupling
by: Bounoua, Mustapha, et al.
Published: (2025)

Minimum mean-squared error estimation with bandit feedback
by: Ghosh, Ayon, et al.
Published: (2022)

Learning The Minimum Action Distance
by: Steccanella, Lorenzo, et al.
Published: (2025)

Minimum Entropy Coupling with Bottleneck
by: Ebrahimi, M. Reza, et al.
Published: (2024)

SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
by: Strässer, Robin, et al.
Published: (2024)

KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems
by: Pal, Ashish, et al.
Published: (2024)

dlordinal: a Python package for deep ordinal classification
by: Bérchez-Moreno, Francisco, et al.
Published: (2024)

Combining Minkowski and Chebyshev: New distance proposal and survey of distance metrics using k-nearest neighbours classifier
by: Rodrigues, Érick Oliveira
Published: (2021)

Minimum width for universal approximation using squashable activation functions
by: Shin, Jonghyun, et al.
Published: (2025)

Multi-class Support Vector Machine with Maximizing Minimum Margin
by: Hao, Zhezheng, et al.
Published: (2023)

HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
by: Mura, Raffaele, et al.
Published: (2024)

Provably Minimum-Length Conformal Prediction Sets for Ordinal Classification
by: Zhang, Zijian, et al.
Published: (2025)

HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification
by: Jalali, Parnian, et al.
Published: (2023)