Search Results - conditioning variational autoencoder(cave)

Dall-e Brain : Generation of 2D T1-w, T2-w, and FLAIR MRI images using a prompt

Authors: El-Allaly, Souhail Breuil, Julie Bibard-Grau, Emma et al.

Contributors: El-Allaly, Souhail Breuil, Julie Bibard-Grau, Emma et al.

Source: 3e édition du Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM 2025).
https://hal.science/hal-05013997
3e édition du Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM 2025)., Mar 2025, Nice, France

Subject Terms: Registration, Image Encoder/Decoder, Variational AutoEncoder, Latent Diffusion Model, Text prompt conditioning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging

Subject Geographic: Nice, France

Time: Nice, France

Availability: https://hal.science/hal-05013997
https://hal.science/hal-05013997v1/document
https://hal.science/hal-05013997v1/file/Poster_Dalle_Brain_IABM_TG_SE_vfi_3.pdf

Anomaly Detection for Charging Piles Based on Conditional Variational Autoencoder.

Authors: Wang, Chuanjun Lu, Yinyu Wang, Mingxin et al.

Source: International Transactions on Electrical Energy Systems; 9/23/2025, Vol. 2025, p1-12, 12p

Subject Terms: ELECTRIC vehicles, SUPERVISED learning, PROBABILISTIC generative models, OUTLIER detection, SIGNAL detection, DISTRIBUTION (Probability theory), INFRASTRUCTURE (Economics)

Parallel Interaction Spatiotemporal Constrained Variational Autoencoder for Soft Sensor Modeling.

Authors: Zhu, Xiuli Damarla, Seshu Kumar Hao, Kuangrong et al.

Source: IEEE Transactions on Industrial Informatics; Aug2022, Vol. 18 Issue 8, p5190-5198, 9p

GANSim‐3D for Conditional Geomodeling: Theory and Field Application.

Authors: Song, Suihong Mukerji, Tapan Hou, Jiagen et al.

Source: Water Resources Research; Jul2022, Vol. 58 Issue 7, p1-34, 34p

Subject Terms: KARST, GENERATIVE adversarial networks, FACIES

Geographic Terms: CHINA

Stochastic Modeling of Thin Mud Drapes Inside Point Bar Reservoirs With ALLUVSIM‐GANSim.

Authors: Hu, Xun Song, Suihong Hou, Jiagen et al.

Source: Water Resources Research; Jun2024, Vol. 60 Issue 6, p1-24, 24p

Subject Terms: MARKOV chain Monte Carlo, GENERATIVE adversarial networks, MUD, DRAPERIES, STOCHASTIC models, BRAIDED rivers

Deep learning tackles single-cell analysis—a survey of deep learning for scRNA-seq analysis.

Authors: Flores, Mario Liu, Zhentao Zhang, Tinghe et al.

Source: Briefings in Bioinformatics; Jan2022, Vol. 23 Issue 1, p1-31, 31p

Subject Terms: DEEP learning, GENERATIVE adversarial networks, MACHINE learning, ELECTRONIC data processing

An autoencoder driven deep learning geospatial approach to flood vulnerability analysis in the upper and middle basin of river Damodar.

Authors: Thappitla, Rohit Srinivas Villuri, Vasanta Govind Kumar Kumar, Satish

Source: Scientific Reports; 9/30/2025, Vol. 15 Issue 1, p1-13, 13p

Subject Terms: DEEP learning, AUTOENCODERS, K-means clustering, RAPIDS, CONVOLUTIONAL neural networks, FLOOD risk, RISK assessment, GEOSPATIAL data

Progressive growing generative adversarial networks using conditioning ratio for facies modeling in complex aquifers.

Alternate Title: Redes generativas antagónicas de crecimiento progresivo que utilizan la relación de condicionamiento para el modelado de facies en acuíferos complejos. (Spanish)
Réseaux adversaires génératifs à croissance progressive utilisant le rapport de conditionnement pour la modélisation des faciès dans les aquifères complexes. (French)
Redes adversárias generativas de crescimento progressivos utilizando razão condicionante para modelagem de faceis em aquíferos complexos. (Portuguese)
利用条件比例的渐进式增长生成对抗网络进行复杂含水层相模拟. (Chinese)

Authors: Redoloza, Fleford Li, Liangping Davis, Arden

Source: Hydrogeology Journal; Sep2023, Vol. 31 Issue 6, p1565-1580, 16p

Subject Terms: GENERATIVE adversarial networks, FACIES, MACHINE learning, LATENT variables, GEOLOGICAL modeling

A Deep Generative Model for the Simulation of Discrete Karst Networks.

Authors: Lauzon, Dany Straubhaar, Julien Renard, Philippe

Source: Earth & Space Science; Oct2025, Vol. 12 Issue 10, p1-22, 22p

Subject Terms: GRAPH neural networks, KARST, PROBABILISTIC generative models, COMPUTER simulation, TOPOLOGY, DEEP learning, HYDROGEOLOGY

AI-Generated Content (AIGC) for Various Data Modalities: A Survey.

Authors: Foo, Lin Geng Rahmani, Hossein Liu, Jun

Source: ACM Computing Surveys; Sep2025, Vol. 57 Issue 9, p1-66, 66p

Subject Terms: ARTIFICIAL neural networks, GENERATIVE artificial intelligence, REINFORCEMENT learning, MACHINE learning, AUTOMATIC speech recognition, POSE estimation (Computer vision), AVATARS (Virtual reality)

Genomics of Experimental Adaptive Radiation in the Cryptic Coloration of Feather Lice Open Access.

Authors: Baldwin-Brown, James G Villa, Scott M Waight, Emiko et al.

Source: Genome Biology & Evolution; May2025, Vol. 17 Issue 5, p1-15, 15p

Subject Terms: ADAPTIVE radiation, PROTECTIVE coloration (Biology), COLOR of birds, PIGEONS, GENE frequency

Intelligent Generation of Graphical Game Assets: A Conceptual Framework and Systematic Review of the State of the Art.

Authors: Fukaya, Kaisei Daylamani-Zad, Damon Agius, Harry

Source: ACM Computing Surveys; May2025, Vol. 57 Issue 5, p1-38, 38p

Subject Terms: ARTIFICIAL neural networks, REINFORCEMENT learning, PATTERN recognition systems, SOFTWARE engineering, DEEP reinforcement learning, DEEP learning

The International BNA 2025 Festival of Neuroscience.

Source: Brain & Neuroscience Advances; 4/28/2025, p1-350, 350p

Comprehensive exploration of diffusion models in image generation: a survey: Comprehensive exploration...: H. Chen et al.

Authors: Chen, Hang Xiang, Qian Hu, Jiaxin et al.

Source: Artificial Intelligence Review; Apr2025, Vol. 58 Issue 4, p1-49, 49p

Subject Terms: DATA privacy, ARTIFICIAL intelligence, COPYRIGHT, DATA security, SOCIAL impact

P‐2.9: A review of image generation methods based on deep learning.

Authors: Wang, Chuang Song, Jianwen Wang, Lijun

Source: SID Symposium Digest of Technical Papers; Apr2023 Supplement 1, Vol. 54, p507-512, 6p

Subject Terms: DEEP learning, GENERATIVE adversarial networks, IMAGE processing

Multiple-point geostatistical modeling for fault-controlled tight sandstone reservoirs based on probability fusion of permanence of ratios: a tight sandstone oil reservoir in the southern margin of the ordos basin.

Authors: Zhang, Haowei Hou, Jiagen Long, Qingbo et al.

Source: Frontiers in Earth Science; 2025, p1-17, 17p

Subject Terms: ARTIFICIAL neural networks, GEOLOGICAL modeling, FAULT zones, STRIKE-slip faults (Geology), PETROLEUM reservoirs, GEOLOGICAL statistics

Reservoir Stochastic Simulation Based on Octave Convolution and Multistage Generative Adversarial Network.

Authors: Wu, Xuechao Fan, Wenyao Peng, Shijie et al.

Source: Scientific Reports; 12/30/2024, Vol. 14 Issue 1, p1-19, 19p

Subject Terms: GENERATIVE adversarial networks, ARTIFICIAL intelligence, CONVOLUTIONAL neural networks, INFORMATION networks, IMAGE processing

From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges.

Authors: Saranti, Anna Pfeifer, Bastian Gollob, Christoph et al.

Source: WIREs: Data Mining & Knowledge Discovery; Nov2024, Vol. 14 Issue 6, p1-45, 45p

Subject Terms: GRAPH neural networks, ARTIFICIAL intelligence, OPTICAL radar, LIDAR, DIGITAL twin

Reinforcement Learning with Decoupled State Representation for Robot Manipulations.

Authors: Dong, Kun Zeng, Yu Wang, Kun et al.

Source: Neural Processing Letters; Oct2024, Vol. 56 Issue 5, p1-19, 19p

European Heart Journal (2024) 45 (Suppl 1).

Source: European Heart Journal; 2024 Supplement, Vol. 45, p1-5865, 5865p

Subject Terms: MEDICAL sciences, GLOBAL longitudinal strain, VENA cava inferior, LEFT heart ventricle, HEART septum, HEART failure, STRESS echocardiography, ACOUSTIC radiation force impulse imaging