:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Richardson, Carl R., Zhang, Jichen, King, Ethan, Drgoňa, Ján
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Systems and Control
Online Access:	https://arxiv.org/abs/2604.09331
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

$\partial$CBDs: Differentiable Causal Block Diagrams
by: Beckers, Thomas, et al.
Published: (2026)

Neural Lyapunov Differentiable Predictive Control
by: Mukherjee, Sayak, et al.
Published: (2022)

Differentiable Predictive Control for Large-Scale Urban Road Networks
by: Tumu, Renukanandan, et al.
Published: (2024)

Learning to Solve Constrained Bilevel Control Co-Design Problems
by: Kotary, James, et al.
Published: (2025)

Zero-Shot Function Encoder-Based Differentiable Predictive Control
by: Iqbal, Hassan, et al.
Published: (2025)

First Contact: Data-driven Friction-Stir Process Control
by: Koch, James, et al.
Published: (2025)

Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders
by: Sundsgaard, Konrad, et al.
Published: (2025)

Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
by: Ewering, Jan-Hendrik, et al.
Published: (2025)

Koopman-Equivariant Gaussian Processes
by: Bevanda, Petar, et al.
Published: (2025)

Polynomial Chaos Expanded Gaussian Process
by: Polke, Dominik, et al.
Published: (2024)

A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential
by: Lee, Jaewook, et al.
Published: (2024)

Recursive Gaussian Process State Space Model
by: Zheng, Tengjie, et al.
Published: (2024)

Streaming Generated Gaussian Process Experts for Online Learning and Control: Extended Version
by: Yang, Zewen, et al.
Published: (2025)

Physics-informed Gaussian Processes as Linear Model Predictive Controller
by: Tebbe, Jörn, et al.
Published: (2024)

Ensemble-Enhanced Graph Autoencoder with GAT and Transformer-Based Encoders for Robust Fault Diagnosis
by: Singh, Moirangthem Tiken
Published: (2025)

Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
by: Hsin, Junette, et al.
Published: (2023)

MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing
by: Correia, Lucas, et al.
Published: (2023)

Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics
by: Prajapat, Manish, et al.
Published: (2025)

A Tutorial on Gaussian Process Learning-based Model Predictive Control
by: Wang, Jie, et al.
Published: (2024)

Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
by: Zhang, Yu, et al.
Published: (2024)

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
by: Lederer, Armin, et al.
Published: (2019)

Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes
by: Glover, Daniel, et al.
Published: (2025)

Improving Variational Autoencoder using Random Fourier Transformation: An Aviation Safety Anomaly Detection Case-Study
by: Asanjan, Ata Akbari, et al.
Published: (2026)

Learning Passive Continuous-Time Dynamics with Multistep Port-Hamiltonian Gaussian Processes
by: Leung, Chi Ho, et al.
Published: (2025)

Data-Driven Prediction and Control of Hammerstein-Wiener Systems with Implicit Gaussian Processes
by: Yin, Mingzhou, et al.
Published: (2025)

Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior
by: Xinming, Wang, et al.
Published: (2024)

Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization
by: Ren, Zelin, et al.
Published: (2021)

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document
by: Yang, Zewen, et al.
Published: (2024)

Differentiable Discrete Event Simulation for Queuing Network Control
by: Che, Ethan, et al.
Published: (2024)

Quasi-Periodic Gaussian Process Predictive Iterative Learning Control
by: Nigam, Unnati, et al.
Published: (2026)

Fault Detection in Electrical Distribution System using Autoencoders
by: Nayak, Sidharthenee, et al.
Published: (2026)

Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies
by: Yang, Zewen, et al.
Published: (2024)

Machine Learning Detection of Lithium Plating in Lithium-ion Cells: A Gaussian Process Approach
by: Patnaik, Ayush, et al.
Published: (2025)

Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
by: Tang, Bo, et al.
Published: (2024)

Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs
by: Saha, Priyabrata, et al.
Published: (2024)

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
by: Dai, Xiaobing, et al.
Published: (2024)

Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison
by: Schulze, Jan C., et al.
Published: (2025)

Learn for Variation: Variationally Guided AAV Trajectory Learning in Differentiable Environments
by: Wang, Xiucheng, et al.
Published: (2026)

Unsupervised High Impedance Fault Detection Using Autoencoder and Principal Component Analysis
by: Liu, Yingxiang, et al.
Published: (2023)

Discovering Nonlinear Static Relationships in Unlabeled Dataset using Autoencoder with Ordered Variance
by: Augustine, Midhun T., et al.
Published: (2024)