Cover Image

Discovering Nonlinear Static Relationships in Unlabeled Dataset using Autoencoder with Ordered Variance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Augustine, Midhun T., Patil, Parag, Bhushan, Mani, Bhartiya, Sharad
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Universal Approximation Theorems
by: Augustine, Midhun T
Published: (2024)

Data-driven Model Predictive Control using MATLAB
by: Augustine, Midhun T.
Published: (2025)

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

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

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

Gradient Estimation and Variance Reduction in Stochastic and Deterministic Models
by: Keane, Ronan
Published: (2024)

Variance-Reduced Cascade Q-learning: Algorithms and Sample Complexity
by: Boveiri, Mohammad, et al.
Published: (2024)

Predictive Controlled Music
by: Augustine, Midhun T.
Published: (2025)

Personalized Collaborative Learning with Affinity-Based Variance Reduction
by: Zhang, Chenyu, et al.
Published: (2025)

Stability Enhanced Gaussian Process Variational Autoencoders
by: Richardson, Carl R., et al.
Published: (2026)

Cost-Ordered Feasibility for Multi-Armed Bandits with Cost Subsidy
by: Juneja, Ishank, et al.
Published: (2026)

A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
by: Wang, Lei, et al.
Published: (2022)

FM-CAC: Carbon-Aware Control for Battery-Buffered Edge AI via Time-Series Foundation Models
by: Yang, Kang, et al.
Published: (2026)

A modular framework for stabilizing deep reinforcement learning control
by: Lawrence, Nathan P., et al.
Published: (2023)

Dynamic Importance Learning using Fisher Information Matrix (FIM) for Nonlinear Dynamic Mapping
by: Eivaghi, Vahid MohammadZadeh, et al.
Published: (2024)

Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks
by: Wei, Lai, et al.
Published: (2021)

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

Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study
by: Schulze, Jan C., et al.
Published: (2024)

Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning
by: Goyal, Pawan, et al.
Published: (2021)

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

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

A Physics-Aware Attention LSTM Autoencoder for Early Fault Diagnosis of Battery Systems
by: Yang, Jiong
Published: (2025)

Federated Nonlinear System Identification
by: Tupe, Omkar, et al.
Published: (2025)

Certified Neural Approximations of Nonlinear Dynamics
by: Mathiesen, Frederik Baymler, et al.
Published: (2025)

Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
by: Bhan, Luke, et al.
Published: (2024)

Learning to Boost the Performance of Stable Nonlinear Systems
by: Furieri, Luca, et al.
Published: (2024)

Optimal Control of Nonlinear Systems with Unknown Dynamics
by: Hao, Wenjian, et al.
Published: (2023)

A Framework for Adaptive Stabilisation of Nonlinear Stochastic Systems
by: Siriya, Seth, et al.
Published: (2025)

Random Walk Learning and the Pac-Man Attack
by: Chen, Xingran, 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)

Koopman-based Deep Learning for Nonlinear System Estimation
by: Sun, Zexin, et al.
Published: (2024)

Baseline Results for Selected Nonlinear System Identification Benchmarks
by: Champneys, Max D., et al.
Published: (2024)

Active Learning for Control-Oriented Identification of Nonlinear Systems
by: Lee, Bruce D., et al.
Published: (2024)

Data-Driven Observability Analysis for Nonlinear Stochastic Systems
by: Massiani, Pierre-François, et al.
Published: (2023)

Provably-Stable Neural Network-Based Control of Nonlinear Systems
by: Li, Anran, et al.
Published: (2025)

On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective
by: Westenbroek, Tyler, et al.
Published: (2021)

System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach
by: Hart, Rebecca G., et al.
Published: (2025)

Beyond Weather Correlation: A Comparative Study of Static and Temporal Neural Architectures for Fine-Grained Residential Energy Consumption Forecasting in Melbourne, Australia
by: Hewage, Prasad Nimantha Madusanka Ukwatta, et al.
Published: (2026)

Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems
by: Kuang, Simon, et al.
Published: (2023)

Parametric Interpolation of Dynamic Mode Decomposition for Predicting Nonlinear Systems
by: Chakrabarti, Ananda, et al.
Published: (2026)