Cover Image

Adaptive sampling using variational autoencoder and reinforcement learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rasheed, Adil, Shahly, Mikael Aleksander Jansen, Aftab, Muhammad Faisal
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance
by: Larsen, Thomas Nakken, et al.
Published: (2024)

Prospects of federated machine learning in fluid dynamics
by: San, Omer, et al.
Published: (2022)

Matching aggregate posteriors in the variational autoencoder
by: Saha, Surojit, et al.
Published: (2023)

Drivetrain simulation using variational autoencoders
by: Sharma, Pallavi, et al.
Published: (2025)

Complex variational autoencoders admit Kähler structure
by: Gracyk, Andrew
Published: (2025)

Spatiotemporal Multi-Task Graph Transformer for Trip-Level Transit Prediction
by: Yusuf, Oluwaleke, et al.
Published: (2026)

Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
by: Menges, Daniel, et al.
Published: (2024)

Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders
by: de Schoulepnikoff, Paulin, et al.
Published: (2025)

Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
by: Stadtmann, Florian, et al.
Published: (2024)

A multimodal dynamical variational autoencoder for audiovisual speech representation learning
by: Sadok, Samir, et al.
Published: (2023)

Similarity-Based Bike Station Expansion via Hybrid Denoising Autoencoders
by: Yusuf, Oluwaleke, et al.
Published: (2026)

Privacy Re-identification Attacks on Tabular GANs
by: Alshantti, Abdallah, et al.
Published: (2024)

Deep learning-based variational autoencoder for classification of quantum and classical states of light
by: Bhupati, Mahesh, et al.
Published: (2024)

Enhancing variational quantum state diagonalization using reinforcement learning techniques
by: Kundu, Akash, et al.
Published: (2023)

Ensemble Kalman filter in latent space using a variational autoencoder pair
by: Pasmans, Ivo, et al.
Published: (2025)

Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders
by: Kumar, Sayantan, et al.
Published: (2023)

Inverse problem regularization with hierarchical variational autoencoders
by: Prost, Jean, et al.
Published: (2023)

vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders
by: Zancanaro, Alberto, et al.
Published: (2023)

3D variational autoencoder for fingerprinting microstructure volume elements
by: White, Michael D., et al.
Published: (2025)

Towards aerodynamic surrogate modeling based on $β$-variational autoencoders
by: Francés-Belda, Víctor, et al.
Published: (2024)

Multimodal normative modeling in Alzheimers Disease with introspective variational autoencoders
by: Kumar, Sayantan, et al.
Published: (2026)

Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
by: Akhtar, Sheikh Waqas
Published: (2024)

Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
by: Wang, Guojian, et al.
Published: (2023)

Disentangled representations via score-based variational autoencoders
by: Lyo, Benjamin S. H., et al.
Published: (2025)

Metabolic cost of information processing in Poisson variational autoencoders
by: Vafaii, Hadi, et al.
Published: (2026)

Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection
by: Vasanth, Joel, et al.
Published: (2024)

Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT
by: Belay, Mohammed Ayalew, et al.
Published: (2026)

Reward driven discovery of the optimal microstructure representations with invariant variational autoencoders
by: Slautin, Boris N., et al.
Published: (2025)

Inferring response times of perceptual decisions with Poisson variational autoencoders
by: Johnson, Hayden R., et al.
Published: (2025)

Convolutional variational autoencoders for secure lossy image compression in remote sensing
by: Giuliano, Alessandro, et al.
Published: (2024)

Localized PCA-Net Neural Operators for Scalable Solution Reconstruction of Elliptic PDEs
by: Dhingra, Mrigank, et al.
Published: (2025)

Predictive Digital Twin for Condition Monitoring Using Thermal Imaging
by: Menges, Daniel, et al.
Published: (2024)

Multi-fidelity aerodynamic data fusion by autoencoder transfer learning
by: Nieto-Centenero, Javier, et al.
Published: (2025)

Ergodicity in reinforcement learning
by: Baumann, Dominik, et al.
Published: (2026)

CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis
by: Alshantti, Abdallah, et al.
Published: (2023)

Why should autoencoders work?
by: Kvalheim, Matthew D., et al.
Published: (2023)

Beta-Sigma VAE: Separating beta and decoder variance in Gaussian variational autoencoder
by: Kim, Seunghwan, et al.
Published: (2024)

CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell data
by: Hsieh, Ping-Han, et al.
Published: (2024)

Ransomware detection using stacked autoencoder for feature selection
by: Nkongolo, Mike, et al.
Published: (2024)

Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning
by: Fishman, Nic, et al.
Published: (2025)