An Introduction to Variational Autoencoders

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Items 901–1,000 of 1,001

1. Twin Variational Auto-Encoder for Representation Learning in IoT Intrusion Detection
   Phai Vu Dinh, Nguyen Quang Uy, Diep Ngoc Nguyen, Dinh Thai Hoang, Son Pham Bao, Eryk Dutkiewicz · 2022 · IEEE Wireless Communications and Networking Conference
2. Deep learning based decoding of local field potential events
   Achim Schilling, Richard Carl Gerum, Claudia Boehm, Jwan Rasheed, Claus Metzner, Andreas Maier, Caroline Reindl, Hajo M. Hamer, Patrick Krauß · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
3. Enhancing Network Intrusion Detection: An AutoML Pipeline with Efficient Digital Twin Synchronization
   Mirna El Rajab, Li Yang, Abdallah A. Shami · 2024
4. SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy
   Md Mahadi Hasan Nahid, Sadid Bin Hasan · 2025 · Qeios
5. Rapid estimation of γ' solvus temperature for composition design of Ni-based superalloy via physics-informed generative artificial intelligence
   Yunfei Ren, Tao Hu, Songzhe Xu, Chaoyue Chen, Weidong Xuan, Zhongming Ren · 2024 · Journal of Alloys and Metallurgical Systems
6. Data augmentation for Gram-stain images based on Vector Quantized Variational AutoEncoder
   V. Shwetha, Keerthana Prasad, Chiranjay Mukhopadhyay, Barnini Banerjee · 2024 · Neurocomputing
7. Physics-Guided Multi-view Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling
   Badhan Mazumder, Ayush Kanyal, Lei Wu, Vince D. Calhoun, Dong Hye Ye · 2024 · Lecture notes in computer science
8. Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
   Fengyuan Liu, Haochen Luo, Yiming Li, Philip H.S. Torr, Jindong Gu · 2024 · Lecture notes in computer science
9. Generalization error guaranteed auto-encoder-based nonlinear model reduction for operator learning
   Hao Liu, Biraj Dahal, Rongjie Lai, Wenjing Liao · 2024 · Applied and Computational Harmonic Analysis
10. scVAG: Unified single-cell clustering via variational-autoencoder integration with Graph Attention Autoencoder
    Seyedpouria Laghaee, Morteza Eskandarian, Mohammadamin Fereidoon, Somayyeh Koohi · 2024 · Heliyon
11. High‐Throughput Robotic Phenotyping for Quantifying Tomato Disease Severity Enabled by Synthetic Data and Domain‐Adaptive Semantic Segmentation
    Weilong He, Xingjian Li, Zhenghua Zhang, Yuxi Chen, Peifen Zhang, Dilip Raj Panthee, Inga M. Meadows, Lirong Xiang · 2024 · Journal of Field Robotics
12. Domain shift, domain adaptation, and generalization
    Jonas Richiardi, Veronica Ravano, Nataliia Molchanova, Pedro M. Gordaliza, Tobias Kober, Meritxell Bach Cuadra · 2025 · Elsevier eBooks
13. Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence tomography
    Jui-Kai Wang, Brett A. Johnson, Zhi Chen, Honghai Zhang, David Szanto, Brian Woods, Michael Wall, Young H. Kwon, Edward F. Linton, Andrew E. Pouw et al. · 2025 · Frontiers in Ophthalmology
14. Unsupervised detection of high-frequency oscillations in intracranial electroencephalogram: promoting a valuable automated diagnostic tool for epilepsy
    Wenjing Chen, Tongzhou Kang, Md Belal Bin Heyat, Jamal E. Fatima, Yuanning Xu, Dakun Lai · 2025 · Frontiers in Neurology
15. Advancing Agile Software Cost Estimation Through Data Synthesis: A Comparative Analysis of Five Generation Techniques
    Xiaoyan Zhao, Zulkefli Mansor, Rozilawati Razali, Mohd Zakree Ahmad Nazri, Xin Xiong · 2025 · IEEE Access
16. HexaGen3D: StableDiffusion is One Step Away from Fast and Diverse Text-to-3D Generation
    Antoine Mercier, Ramin Nakhli, Mahesh Reddy, Rajeev Yasarla, Hong Nian Cai, Fatih Porikli, Guillaume Berger · 2025 · IEEE Winter Conference on Applications of Computer Vision
17. Ultralow‐Dimensionality Reduction for Identifying Critical Transitions by Spatial‐Temporal PCA
    Pei Chen, Yaofang Suo, Kazuyuki Aihara, Ye Li, Dan Wu, Rui Liu, Luonan Chen · 2025 · Advanced Science
18. Exploring denoising diffusion models for compressible fluid field prediction
    Rim Abaidi, Nikolaus A. Adams · 2025 · Computers & Fluids
19. The rise of generative AI frameworks in drug discovery
    Roshan R. Kotkondawar, Sanjay R. Sutar, Arvind W. Kiwelekar, Vinod Jagannath Kadam, Shivajirao Manikrao Jadhav · 2025 · International Journal of Data Science and Analytics
20. Generative adversarial network augmented data for improved heart sound abnormality detection
    Shaunak Chakraborty, Prishita Kochhar, Shruti Patil, Ketan V. Kotecha, Shilpa Gite, Ganeshsree Selvachandran, Swagatam Das · 2025 · Computers in Biology and Medicine
21. Multimodal diffusion framework for collaborative text image audio generation and applications
    Junhua Wang, Ouya Zhang, Yuanzhang Jiang · 2025 · Scientific Reports
22. Tabular Data Augmentation Using Artificial Intelligence: A Systematic Review and Taxonomic Framework
    Mauro Henrique Lima de Boni, Iwens Gervasio Sene Junior, Ronaldo Martins da Costa · 2025 · IEEE Access
23. A Physics-Informed Variational Autoencoder for Modeling Power Plant Thermal Systems
    Baoyu Zhu, Shaojun Ren, Qihang Weng, Fengqi Si · 2025 · Energies
24. Deep learning methods and applications in single-cell multimodal data integration
    Franklin Vinny Medina Nunes, Luiza Marques Prates Behrens, Rafael Diogo Weimer, Gabriela Flores Gonçalves, Guilherme da Silva Fernandes, Márcio Dorn · 2025 · Molecular Omics
25. Top-down perceptual inference shaping the activity of early visual cortex
    F. Csikor, Balázs Meszéna, Katalin Ócsai, Gergő Orbán · 2025 · Nature Communications
26. Experimental review and recent advances in deep learning techniques for solar irradiance forecasting and prediction
    Chinedu I. Otuka, Dongsheng Cai, Chiagoziem C. Ukwuoma, Shuang Luo, Zhihui Yang, Olusola Bamisile, Chibueze D. Ukwuoma, Chizoba U. Otuka, Nkiruka O. Otuka, Qi Huang · 2025 · Solar Energy
27. TOMATOES: Topology and material optimization for latent heat thermal energy storage devices
    Rahul Kumar Padhy, Krishnan Suresh, Aaditya Chandrasekhar · 2025 · Applied Energy
28. Flow matching meets biology and life science: a survey
    Zihao Li, Zhichen Zeng, Xiao Lin, Fan Fang, Yanru Qu, Zhe Xu, Zhining Liu, Xuying Ning, Tianxin Wei, Ge Liu et al. · 2026 · npj Artificial Intelligence
29. Integration of electric vehicles into energy system models: A review
    Moritz Raab, Jonathan Vogl, Tim Signer, Max Kleinebrahm · 2026 · Renewable and Sustainable Energy Reviews
30. Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements
    Maëliss Jallais, Pedro Luiz Coelho Rodrigues, Alexandre Gramfort, Demián Wassermann · 2022 · The Journal of Machine Learning for Biomedical Imaging
31. Literature Review on Image Restoration
    Zihan Liu · 2022 · Journal of Physics Conference Series
32. Adversarially Trained Variational Auto-Encoders With Maximum Mean Discrepancy based Regularization
    R. Sathya, Kency Taniya Antony Sekar, S. Ananthi, T Dheepa · 2022 · International Conference on Knowledge Engineering and Communication Systems (ICKECS)
33. Predicting Visit Cost of Obstructive Sleep Apnea Using Electronic Healthcare Records With Transformer
    Zhaoyang Chen, Lina Siltala-Li, Mikko Lassila, Pekka Malo, Eeva Vilkkumaa, Tarja Saaresranta, Arho Veli Virkki · 2023 · IEEE Journal of Translational Engineering in Health and Medicine
34. B-Pose: Bayesian Deep Network for Camera 6-DoF Pose Estimation From RGB Images
    Aref Miri Rekavandi, Farid Boussaïd, Abd‐Krim Seghouane, Mohammed Bennamoun · 2023 · IEEE Robotics and Automation Letters
35. Multivariate emulation of kilometer-scale numerical weather predictions with generative adversarial networks: a proof-of-concept
    Clément Brochet, L. Raynaud, Nicolas Thome, Matthieu Plu, Clément Rambour · 2023 · Artificial Intelligence for the Earth Systems
36. Studying Imbalanced Learning for Anomaly-Based Intelligent IDS for Mission-Critical Internet of Things
    Ghada Abdelmoumin, Danda B. Rawat, Abdul Rahman · 2023 · Journal of Cybersecurity and Privacy
37. Conditional variational autoencoder for query expansion in ad-hoc information retrieval
    Wei Ou, Van‐Nam Huynh · 2023 · Information Sciences
38. Deep nonparametric estimation of intrinsic data structures by chart autoencoders: Generalization error and robustness
    Hao Liu, Alex Havrilla, Rongjie Lai, Wenjing Liao · 2023 · Applied and Computational Harmonic Analysis
39. Visualization of Optic Nerve Structural Patterns in Papilledema Using Deep Learning Variational Autoencoders
    Jui-Kai Wang, Edward F. Linton, Brett A. Johnson, Mark J. Kupersmith, Mona K. Garvin, Randy H. Kardon · 2024 · Translational Vision Science & Technology
40. Dynamic CVaR portfolio construction with attention-powered generative factor learning
    Chuting Sun, Qi Wu, Yan Xing · 2024 · Journal of Economic Dynamics and Control
41. An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover
    Ronghua Shang, Hangcheng Liu, Wenzheng Li, Weitong Zhang, Teng Ma, Licheng Jiao · 2024 · Swarm and Evolutionary Computation
42. Machine learning approaches to the identification of children affected by prenatal alcohol exposure: A narrative review
    Michael Suttie, Julie A. Kable, Amanda H. Mahnke, Gretchen Bandoli · 2024 · Alcoholism Clinical and Experimental Research
43. Introducing an Artificial Neural Network for Virtually Increasing the Sample Size of Bioequivalence Studies
    Dimitris Papadopoulos, Vangelis D. Karalis · 2024 · Applied Sciences
44. Modeling the Temperature-Dependent Size Change of Polydisperse Nano-objects using a Deep Generative Model
    Reza Azad, Pia Lenßen, Yiwei Jia, Martin Strauch, Berk Alperen Bener, Dorit Merhof, Dominik Wöll · 2024 · Nano Letters
45. Enhancements in Radiological Detection of Metastatic Lymph Nodes Utilizing AI-Assisted Ultrasound Imaging Data and the Lymph Node Reporting and Data System Scale
    Cezary Chudobiński, Bartosz Świderski, Izabella Antoniuk, Jarosław Kurek · 2024 · Cancers
46. Nonlinear Slow Feature Analysis for Oscillating Characteristics Under Deep Encoder-Decoder Framework
    Vamsi Krishna Puli, Biao Huang · 2024 · IEEE Transactions on Industrial Informatics
47. Efficient Generation of Conformer Ensembles Using Internal Coordinates and a Generative Directional Graph Convolution Neural Network
    Eugene Raush, Ruben A Abagyan, Maxim M. Totrov · 2024 · Journal of Chemical Theory and Computation
48. Extracting Integrated Features of Electronic Medical Records Big Data for Mortality and Phenotype Prediction
    Fei Li, Yiqiang Chen, Yang Gu, Yaowei Wang · 2024 · Chinese Journal of Electronics
49. Open-Set Synthesis for Free-Viewpoint Human Body Reenactment of Novel Poses
    Zhicheng Sheng, Fan Liu, Meng Liu, Feng Zheng, Liqiang Nie · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
50. Degradation generation and prediction based on machine learning methods: A comparative study
    Xintong Li, Kai Song, Jian Shi · 2024 · Eksploatacja i Niezawodnosc - Maintenance and Reliability
51. Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments
    D. Torbunov, Yi Huang, Meifeng Lin, Yihui Ren, Y. Go, Timothy Thomas Rinn, Haiwang Yu, Brett Viren, J. Huang · 2024 · Physical Review C
52. Disentangling genotype and environment specific latent features for improved trait prediction using a compositional autoencoder
    Anirudha Powadi, Talukder Zaki Jubery, Michael C. Tross, James C. Schnable, Baskar Ganapathysubramanian · 2024 · Frontiers in Plant Science
53. End-to-end anomaly detection of service function chain through multi-source data in cloud-native systems
    Xuefei Chen, Jinfeng Kou, Haiqiang Li, Yuqi Zhang, Junchao Ma, Chen Li, BiBo Tu · 2025 · Computers & Security
54. HumanLiff: Layer-wise 3D Human Diffusion Model
    Shoukang Hu, Fangzhou Hong, Tao Hu, Liang Pan, Haiyi Mei, Weiye Xiao, Lei Yang, Ziwei Liu · 2025 · International Journal of Computer Vision
55. Improving Multi-Speaker TTS Prosody Variance with a Residual Encoder and Normalizing Flows
    Iván Vallés-Ṕerez, Julian Roth, Grzegorz Beringer, Roberto Barra-Chicote, Jasha Droppo · 2021 · Interspeech (USB)
56. Machine Learning for MRI Reconstruction
    Kerstin Hammernik, Thomas Küstner, Daniel Rueckert · 2022 · Advances in magnetic resonance technology and applications
57. MFFAN: Multiple Features Fusion with Attention Networks for Malicious Traffic Detection
    Weiqing Huang, Xinbo Han, Meng Zhang, Min Li, Wen Liu, Zheng Yang, Haitian Yang · 2022 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
58. Variational Inference Aided Estimation of Time Varying Channels
    Benedikt Böck, Michael N. Baur, Valentina Rizzello, Wolfgang Utschick · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
59. Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors
    Sambit Tarai, Elin Lundström, Therese Sjöholm, Hanna Jönsson, Alexander Korenyushkin, Nouman Ahmad, Mette Abildgaard Pedersen, Daniel L. Molin, Gunilla Enblad, Robin Strand et al. · 2024 · Heliyon
60. Inter-Subject Clustering of Brain Fibers from Whole-Brain Tractography
    Isaías I. Huerta, Andrea Vázquez, Narciso López-López, Josselin Houenou, Cyril Poupon, Jean‐François Mangin, Pamela Guevara, C. Hernández · 2020 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
61. Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images
    Srijay Deshpande, Fayyaz Minhas, Nasir Rajpoot · 2020 · Lecture notes in computer science
62. A Variational Autoencoder Approach for Speech Signal Separation
    Hao D., Son T. Tran, Duc Thanh Chau · 2020 · Lecture notes in computer science
63. BII-Implementation: The causes and consequences of plant biodiversity across scales in a rapidly changing world
    Jeannine M. Cavender-Bares, Peter B. Reich, Philip A. Townsend, Arindam Banerjee, Ethan E. Butler, Ankur Rashmikant Desai, Amanda J. Gevens, Sarah E. Hobbie, Forest Isbell, Étienne Laliberté et al. · 2021 · Research Ideas and Outcomes
64. Suremap: Predicting Uncertainty in Cnn-Based Image Reconstructions Using Stein’s Unbiased Risk Estimate
    Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
65. Topology of Conceptual Representations in Unsupervised Generative Models.
    Serge Dolgikh · 2021
66. Imbalanced Dataset Optimization with New Resampling Techniques
    Ivan Letteri, Antonio Di Cecco, Abeer Dyoub, Giuseppe Della Penna · 2021 · Lecture notes in networks and systems
67. Machine Learning Applied to the Modeling of Pharmacological and ADMET Endpoints
    Andreas H. Göller, Lara Kuhnke, Antonius ter Laak, Katharina Meier, Alexander Hillisch · 2021 · Methods in molecular biology
68. Variational Autoencoders for Dimensionality Reduction of Automotive Vibroacoustic Models
    Johannes D. Schmid, Arne Hildenbrand, Caglar Gurbuz, Marinus Luegmair, Steffen Marburg · 2022 · SAE International Journal of Advances and Current Practices in Mobility
69. Data Driven Control with Learned Dynamics: Model-Based versus Model-Free Approach
    Wenjian Hao, Yiqiang Han · 2020 · arXiv (Cornell University)
70. MeLIME: Meaningful Local Explanation for Machine Learning Models
    Tiago Botari, Frederik Hvilshøj, Rafael Izbicki, André C. P. L. F. de Carvalho · 2020 · arXiv (Cornell University)
71. Generating Gameplay-Relevant Art Assets with Transfer Learning
    Gonzalez, Adrian, Matthew Guzdial, Félix Ramos · 2020 · arXiv (Cornell University)
72. Can Jellyfish Dream? Conceptual Representations in Unsupervised Generative Learning
    Serge Dolgikh · 2021
73. Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective
    Peter Baumgartner, Daniel Smith, Mashud Rana, Reena Kapoor, Elena Tartaglia, Andreas Schutt, Ashfaqur Rahman, John Taylor, Simon Dunstall · 2022 · Research Square
74. Analysis of Transition to Thermo-Acoustic Instability in Swirl Combustor Using Variational Auto-Encoders
    Vikram Ramanan, Anusai Ramankutty, Sharan Sreedeep, Satyanarayanan R. Chakravarthy · 2022 · Journal of Propulsion and Power
75. Privacy-Preserving Traffic Flow Prediction: A Split Learning Approach
    Nam–Phuong Tran, Nhu–Ngoc Dao, Quang Tuan Do, The Vi Nguyen, Sungrae Cho · 2023 · International Conference on Information Networking
76. GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images
    Dalal Bardou, Laishui Lv, Yasmine Medjadba, Ting Zhang, Ouahiba Chouhal, Mourad Bounezra, Karima Saidi, Youcef Bezza, Aissa Snani · 2024 · Network Modeling Analysis in Health Informatics and Bioinformatics
77. Bioequivalence Studies of Highly Variable Drugs: An Old Problem Addressed by Artificial Neural Networks
    Dimitris Papadopoulos, Georgia Karali, Vangelis D. Karalis · 2024 · Applied Sciences
78. Synthetic Census Microdata Generation: A Comparative Study of Synthesis Methods Examining the Trade-Off Between Disclosure Risk and Utility
    Claire L. Little, Richard Allmendinger, Mark James Elliot · 2024 · Journal of Official Statistics
79. CGANS: a code-based GAN for spam detection in social media
    Atefeh Rashidi, Mostafa Salehi, Shaghayegh Najari · 2024 · Social Network Analysis and Mining
80. The challenges of energy transition and opportunities for geophysicists
    Mengli Zhang, Yaoguo Li · 2024 · Elsevier eBooks
81. A theory-data-integrated intelligent framework for prediction of blasting-induced rock fragment size
    Yaosheng Liu, Ang Li, Yipeng Liu, Zhendong Leng, Yongli Xie · 2025 · Powder Technology
82. Continuous Human Activity Recognition in IoT Environments With BAOA and AFSG-TPD GANs
    Wei Yin, Ling‐Feng Shi, Yifan Shi · 2025 · IEEE Internet of Things Journal
83. Denoising diffusion wavelet models for zero-shot medical image translation
    Yunxiang Li, Xianghao Kong, Jiacheng Xie, Greg Ver Steeg, You Zhang · 2025 · Knowledge-Based Systems
84. Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models
    Luís H.T. Bandória, Walquíria N. Silva, Madson Cortes de Almeida · 2025 · IEEE Access
85. Fuzzy Rule-Based Differentiable Representation Learning
    Wei Zhang, Zhaohong Deng, Guanjin Wang, Kup‐Sze Choi · 2025 · IEEE Transactions on Neural Networks and Learning Systems
86. A Survey on GenAI-Driven Digital Twins: Toward Intelligent 6G Networks and Metaverse Systems
    Faisal Naeem, Mansoor Ali, Georges Kaddoum, Yasir Faheem, Yan Zhang, Merouane Abdelkader Debbah, Chau Yuen · 2025 · IEEE Open Journal of the Communications Society
87. Urban Planning in the Age of Agentic AI: Emerging Paradigms and Prospects
    Rui Liu, Tao Zhe, Zhong-Ren Peng, F. Necati Çatbaş, Xinyue Ye, Dongjie Wang, Yanjie Fu · 2025 · ACM SIGKDD Explorations Newsletter
88. Compositional data-aware deep learning for geochemical anomaly detection: A Novel framework for mineral prospectivity mapping
    Sidique Gawusu, Mahamuda Abu, Benatus Norbert Mvile · 2026 · Physics and Chemistry of the Earth Parts A/B/C
89. Advancing Infrastructure-as-Code Resilience through Generative AI Agents for Predictive Remediation and Autonomous Security Enforcement
    Harish Apuri, Mukesh Aurangabadkar, Shikher Goel, Madhan Mohan Reddy Chinthala, Charani Yepuri · 2026 · International Journal of Engineering and Advanced Technology
90. Cone beam computed tomography enhancement using feature‐embedded variational autoencoder with a perceptual loss function
    Jiffy Joseph, Aparajit Singh, P. N. Pournami, P. B. Jayaraj, Niyas Puzhakkal · 2023 · International Journal of Imaging Systems and Technology
91. Analyzing and Unifying Robustness Measures for Excitation Transfer Control in Spin Networks
    Sean P. O’Neil, Irtaza Khalid, A. A. Rompokos, Carrie Ann Weidner, Frank C. Langbein, S. G. Schirmer, EDMOND A. JONCKHEERE · 2023 · IEEE Control Systems Letters
92. A TAXONOMY OF UNIVARIATE ANOMALY DETECTION ALGORITHMS FOR PREDICTIVE MAINTENANCE
    Daniel Barrish, Jan Harm van Vuuren · 2023 · The South African Journal of Industrial Engineering
93. Deep Probabilistic Movement Primitives with a Bayesian Aggregator
    Michael Przystupa, Faezeh Haghverd, Martin Jägersand, Samuele Tosatto · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
94. Synthetic Data on Buildings
    Daniele Antonucci, Francesca Conselvan, Philipp Mascherbauer, Daniel Harringer, Cristian Pozza · 2024 · Learning and analytics in intelligent systems
95. Emerging Directions in Bayesian Computation
    Steven Winter, Trevor Campbell, Lizhen Lin, Sanvesh Srivastava, David B. Dunson · 2024 · Statistical Science
96. Roadmap for Generative Models Redefining Learning in Egyptian Higher Education
    Laila Mohamed ElFangary · 2024 · International Journal of Advanced Computer Science and Applications
97. Novelty detection in the design of synthesis of garnet-structured solid electrolytes
    Natalia V. Kireeva, Aslan Yu. Tsivadze · 2024 · Journal of Solid State Chemistry
98. Diversified realistic face image generation GAN for human subjects in multimedia content creation
    Lalit Kumar, Dushyant Kumar Singh · 2024 · Computer Animation and Virtual Worlds
99. Prediction of the microstructure of cold-compacted Astaloy 85Mo with deep generative models
    Oliver Schenk, Marco Becker, Yuanbin Deng, Philipp Niemietz, Thomas Bergs, Christoph Broeckmann · 2024 · Computational Materials Science
100. Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
     Liu, Ping, Tao, Qiqi, Zhou, Joey Tianyi · 2024 · arXiv