Search Results - Hamiltonian Variational Autoencoder*

Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes

Authors: Aghiles Kebaili Jérôme Lapuyade-Lahorgue Pierre Vera et al.

Contributors: Aghiles Kebaili Jérôme Lapuyade-Lahorgue Pierre Vera et al.

Source: Neurocomputing. 606:128360

Subject Terms: FOS: Computer and information sciences, 0301 basic medicine, [SDV]Life Sciences [q-bio], Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, Deep learning Data augmentation Tumor segmentation Generative modeling Variational Autoencoder MRI PET Hamiltonian Variational Autoencoder, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, 03 medical and health sciences, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering

Access URL: http://arxiv.org/abs/2406.11659

Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes

Authors: Kebaili, Aghiles Lapuyade-Lahorgue, Jérôme Vera, Pierre et al.

Index Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2406.11659

Magnetic State Generation using Hamiltonian Guided Variational Autoencoder with Spin Structure Stabilization

Authors: Hee Young Kwon Han Gyu Yoon Sung Min Park et al.

Source: Advanced Science, Vol 8, Iss 11, Pp n/a-n/a (2021)

Subject Terms: energy minimization, generative model, machine learning, micromagnetism, the ground state, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2198-3844

Access URL: https://doaj.org/article/f46626336fd347c9ba7052db8561d847

Multi-stage variational autoencoders for hierarchical molecular generation and activity optimization.

Authors: Murala DK; Department of Computer Science and Engineering, Faculty of Science and Technology (IcfaiTech), ICFAI Foundation for Higher Education, Hyderabad, Telangana, 501203, India. drdileepm@ifheindia.org.

Source: Journal of computer-aided molecular design [J Comput Aided Mol Des] 2025 Nov 12; Vol. 39 (2), pp. 123. Date of Electronic Publication: 2025 Nov 12.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 8710425 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-4951 (Electronic) Linking ISSN: 0920654X NLM ISO Abbreviation: J Comput Aided Mol Des Subsets: MEDLINE

MeSH Terms: Drug Design* , Protein Kinase Inhibitors*/chemistry , Protein Kinase Inhibitors*/pharmacology, Quantitative Structure-Activity Relationship ; Humans ; ErbB Receptors/antagonists & inhibitors ; ErbB Receptors/chemistry ; Drug Discovery ; Algorithms ; Autoencoder

Unbiased Normalized Ensemble Methodology for Zero‐Shot Structural Damage Detection Using Manifold Learning and Reconstruction Error From Variational Autoencoder.

Authors: Heravi, Mohammad Ali Naderpour, Hosein Soleimani-Babakamali, Mohammad Hesam et al.

Source: Structural Control & Health Monitoring; 7/16/2025, Vol. 2025, p1-17, 17p

Subject Terms: ARTIFICIAL neural networks, STRUCTURAL health monitoring, AUTOENCODERS, LEARNING ability

Quasi-symplectic Langevin Variational Autoencoder

Authors: Wang, Zihao Delingette, Hervé

Index Terms: Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2009.01675

Learning variational autoencoders via MCMC speed measures.

Authors: Hirt, Marcel Kreouzis, Vasileios Dellaportas, Petros

Source: Statistics & Computing; Oct2024, Vol. 34 Issue 5, p1-15, 15p

Magnetic State Generation using Hamiltonian Guided Variational Autoencoder with Spin Structure Stabilization.

Authors: Kwon, Hee Young Yoon, Han Gyu Park, Sung Min et al.

Source: Advanced Science; 6/9/2021, Vol. 8 Issue 11, p1-8, 8p

Subject Terms: MACHINE learning

Marked point process variational autoencoder with applications to unsorted spiking activities.

Authors: Shibue, Ryohei Iwata, Tomoharu

Source: PLoS Computational Biology; 12/30/2024, Vol. 20 Issue 12, p1-31, 31p

Subject Terms: POINT processes, AUTOENCODERS, ANIMAL behavior, LATENT variables, STOCHASTIC processes

NONLINEAR EMBEDDINGS FOR CONSERVING HAMILTONIANS AND OTHER QUANTITIES WITH NEURAL GALERKIN SCHEMES.

Authors: SCHWERDTNER, PAUL SCHULZE, PHILIPP BERMAN, JULES et al.

Source: SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 5, pC583-C607, 25p

Subject Terms: TIME integration scheme, PARTIAL differential equations, VARIATIONAL principles, HAMILTONIAN systems

Symplectic encoders for physics-constrained variational dynamics inference.

Authors: Bacsa, Kiran Lai, Zhilu Liu, Wei et al.

Source: Scientific Reports; 2/14/2023, Vol. 13 Issue 1, p1-26, 26p

Subject Terms: DEGREES of freedom, DYNAMICAL systems, HAMILTONIAN systems

Sparse-Coding Variational Autoencoders.

Authors: Geadah, Victor Barello, Gabriel Greenidge, Daniel et al.

Source: Neural Computation; Dec2024, Vol. 36 Issue 12, p2571-2601, 31p

Subject Terms: ARTIFICIAL neural networks, VISUAL pathways, NONLINEAR functions, DATA modeling

Scalable Approximate Bayesian Inference

Authors: Chen, Tian

Subject Terms: Statistics, Bayesian Inference, Hamiltonian Monte Carlo, Information Geometry, Variational Autoencoder, Variational Bayes

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/0bn0n51b
https://escholarship.org/content/qt0bn0n51b/qt0bn0n51b.pdf

Geostatistical Inversion for Subsurface Characterization Using Stein Variational Gradient Descent With Autoencoder Neural Network: An Application to Geologic Carbon Sequestration.

Authors: Liu, Mingliang Grana, Dario Mukerji, Tapan

Source: Journal of Geophysical Research. Solid Earth; Jul2024, Vol. 129 Issue 7, p1-28, 28p

Subject Terms: CARBON sequestration, PROPERTIES of fluids, CARBON emissions, ROCK properties, GLOBAL warming, INVERSION (Geophysics)

Quasi-Symplectic Langevin Variational Autoencoder

Authors: Wang, Zihao Delingette, Hervé E-Patient : Images, données & mOdèles pour la médeciNe numériquE (EPIONE) et al.

Contributors: Wang, Zihao Delingette, Hervé E-Patient : Images, données & mOdèles pour la médeciNe numériquE (EPIONE) et al.

Source: https://inria.hal.science/hal-03024748 ; 2021.

Subject Terms: [INFO]Computer Science [cs], [MATH]Mathematics [math]

Availability: https://inria.hal.science/hal-03024748
https://inria.hal.science/hal-03024748v4/document
https://inria.hal.science/hal-03024748v4/file/V2_Langevin_VAE_Revision__Copy_.pdf

Variational Autoencoder Reconstruction of Complex Many-Body Physics

Authors: Ilia A. Luchnikov Alexander Ryzhov Pieter-Jan Stas et al.

Source: Entropy, Vol 21, Iss 11, p 1091 (2019)

Subject Terms: complex systems thermodynamics, machine learning, quantum phase transition, ising model, variational autoencoder, Science, Astrophysics, QB460-466, Physics, QC1-999

File Description: electronic resource

Relation: https://www.mdpi.com/1099-4300/21/11/1091; https://doaj.org/toc/1099-4300

Access URL: https://doaj.org/article/886f8ce2cab54ebaa3b1ccb85545921d

Multimodal variational autoencoder for inverse problems in geophysics: application to a 1-D magnetotelluric problem.

Authors: Rodriguez, Oscar Taylor, Jamie M Pardo, David

Source: Geophysical Journal International; Dec2023, Vol. 235 Issue 3, p2598-2613, 16p

Subject Terms: INVERSION (Geophysics), GEOPHYSICS, INVERSE problems, MULTIMODAL user interfaces, DEEP learning

Enhancing a convolutional autoencoder with a quantum approximate optimization algorithm for image noise reduction.

Authors: Kit, Tara Pov, Kimsay Kea, Kimleang et al.

Source: Machine Learning: Science & Techonology; 2025, Vol. 6 Issue 4, p1-15, 15p

Physical discovery in representation learning via conditioning on prior knowledge.

Authors: Liu, Yongtao Huey, Bryan D. Ziatdinov, Maxim A. et al.

Source: Journal of Applied Physics; 8/14/2024, Vol. 136 Issue 6, p1-13, 13p

Subject Terms: PIEZORESPONSE force microscopy, SPECTRAL imaging, LATENT variables, EXTRAPOLATION, PRIOR learning

BaHaMAs: a method for uncertainty quantification in geodetic time series and its application in short-term prediction of length of day.

Authors: Kiani Shahvandi, Mostafa Mishra, Siddhartha Soja, Benedikt

Source: Earth, Planets & Space; 10/4/2024, Vol. 76 Issue 1, p1-22, 22p

Subject Terms: ANGULAR momentum (Mechanics), MACHINE learning, EARTH sciences, TIME management, FORECASTING