An Introduction to Variational Autoencoders

Cited by (1,002)

Items 401–500 of 1,002

1. Early Detection and Diagnosis of Wind Turbine Abnormal Conditions Using an Interpretable Supervised Variational Autoencoder Model
   Adaiton Oliveira-Filho, Ryad M. Zemouri, Philippe Cambron, Antoine S. Tahan · 2023 · Energies
2. Comparison of autoencoder architectures for fault detection in industrial processes
   Deris Eduardo Spina, Luiz Felipe de O. Campos, Wallthynay Ferreira de Arruda, Afrânio Melo, Marcelo Ferreira de Souza Alves, Gildeir Lima Rabello, Thiago Koichi Anzai, José Carlos Pinto · 2024 · Digital Chemical Engineering
3. Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
   Yuecong Xu, Haozhi Cao, Li-Hua Xie, Xiao-Li Li, Z. Chen, Jianfei Yang · 2022 · ACM Computing Surveys
4. SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
   Rishabh Kabra, Daniel Zoran, Goker Erdogan, Löıc Matthey, Antonia Creswell, Matthew Botvinick, Alexander Lerchner, Christopher Burgess · 2021 · arXiv (Cornell University)
5. Computer vision for plant pathology: A review with examples from cocoa agriculture
   Jamie R. Sykes, Katherine Denby, Daniel Wayne Franks · 2023 · Applications in Plant Sciences
6. Deep embedded clustering generalisability and adaptation for integrating mixed datatypes: two critical care cohorts
   Jip W T M de Kok, Frank van Rosmalen, Jacqueline Koeze, Frederik Keus, Sander M. J. van Kuijk, José Castela Forte, Ronny M. Schnabel, Rob Driessen, Thijs T. W. van Herpt, Jan-Willem E. M. Sels et al. · 2024 · Scientific Reports
7. Fall Detection of the Elderly Using Denoising LSTM-Based Convolutional Variant Autoencoder
   Myung-Kyu Yi, KyungHyun Han, Seong Oun Hwang · 2024 · IEEE Sensors Journal
8. Harnessing Deep Learning and Reinforcement Learning Synergy as a Form of Strategic Energy Optimization in Architectural Design: A Case Study in Famagusta, North Cyprus
   Hirou Karimi, Mohammad Anvar Adibhesami, Siamak Hoseinzadeh, Ali Akbar Salehi, Daniele Groppi, Davide Astiaso Garcia · 2024 · Buildings
9. Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix
   Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi · 2021 · IEEE Transactions on Medical Imaging
10. Machine learning techniques to construct patched analog ensembles for data assimilation
    L. Minah Yang, Ian G. Grooms · 2021 · Journal of Computational Physics
11. Self-adversarial variational autoencoder with spectral residual for time series anomaly detection
    Yunxiao Liu, Youfang Lin, Qinfeng Xiao, Ganghui Hu, Jing Wang · 2021 · Neurocomputing
12. Thermal Face Generation Using StyleGAN
    Gabriel Hermosilla, Diego-Ignacio Henriquez Tapia, Héctor Allende‐Cid, Gonzalo Farías, Esteban M. Vera · 2021 · IEEE Access
13. Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome
    Austin Chou, Abel Torres Espin, Nikos Kyritsis, John Russell Huie, Sarah Khatry, Jeremy Funk, Jennifer Hay, Andrew Lofgreen, Rajiv Ratn Shah, Chandler McCann et al. · 2022 · PLoS ONE
14. Probabilistic Prediction of Consolidation Settlement and Pore Water Pressure Using Variational Autoencoder Neural Network
    Man Kong Lo, Daniel R. D. Loh, Siau Chen Chian, Taeseo Ku · 2022 · Journal of Geotechnical and Geoenvironmental Engineering
15. Variational Autoencoder Leveraged MMSE Channel Estimation
    Michael N. Baur, Benedikt Fesl, Michael Köller, Wolfgang Utschick · 2022 · Asilomar Conference on Signals, Systems and Computers (ACSSC)
16. A machine learning-based data augmentation strategy for structural damage classification in civil infrastructure system
    Lechen Li, Raimondo Betti · 2023 · Journal of Civil Structural Health Monitoring
17. Fitting a deep generative hadronization model
    J. Chan, Xiangyang Ju, Adam Kania, Benjamin Philip Nachman, Vishnu Sangli, Andrzej Siódmok · 2023 · Journal of High Energy Physics
18. A deep neural network: mechanistic hybrid model to predict pharmacokinetics in rat
    Florian Führer, Andrea Grüber, Holger Diedam, Andreas H. Göller, Stephan Menz, Sebastian Schneckener · 2024 · Journal of Computer-Aided Molecular Design
19. Spatially contrastive variational autoencoder for deciphering tissue heterogeneity from spatially resolved transcriptomics
    Yaofeng Hu, Kai Xiao, Hengyu Yang, Xiaoping Liu, Chuanchao Zhang, Qianqian Shi · 2024 · Briefings in Bioinformatics
20. A comparative study of methods for estimating model-agnostic Shapley value explanations
    Lars Henry Berge Olsen, Ingrid K. Glad, Martin Jullum, Kjersti Aas · 2024 · Data Mining and Knowledge Discovery
21. Multivariate Time Series Anomaly Detection via Low-Rank and Sparse Decomposition
    Mohammed Ayalew Belay, Adil Rasheed, Pierluigi Salvo Rossi · 2024 · IEEE Sensors Journal
22. Deep learning-aided inverse design of porous metamaterials
    Phu Thien Nguyen, Yousef Heider, Dennis M. Kochmann, Fadi Aldakheel · 2025 · Computer Methods in Applied Mechanics and Engineering
23. A Closer Look at Disentangling in β-VAE
    Harshvardhan Sikka, Weishun Zhong, Jun E. Yin, Cengiz Pehlevant · 2019 · Asilomar Conference on Signals, Systems and Computers (ACSSC)
24. Latent Timbre Synthesis
    Kıvanç Tatar, Daniel Bisig, Philippe Pasquier · 2020 · Neural Computing and Applications
25. A Regularized Procedure to Generate a Deep Learning Model for Topology Optimization of Electromagnetic Devices
    Mauro Tucci, Sami Barmada, Alessandro Formisano, Dimitri Thomopulos · 2021 · Electronics
26. Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder
    Xiaodi Zhang, Eric A. Maltbie, Shella Dawn Keilholz · 2021 · NeuroImage
27. Data-driven design of thin-film optical systems using deep active learning
    Youngjoon Hong, David P. Nicholls · 2022 · Optics Express
28. Latent spaces for antimicrobial peptide design
    Samuel Renaud, Rachael A. Mansbach · 2023 · Digital Discovery
29. Deep Learning-Driven Design of Robot Mechanisms
    Anurag Purwar, Nilanjan Chakraborty · 2023 · Journal of Computing and Information Science in Engineering
30. Scale-adaptive model for detection and grading of age-related macular degeneration from color retinal fundus images
    Niveen Nasr El-Den, Naglah Ahmed, Mohamed Elsharkawy, Mohammed Asaad Ghazal, Norah Saleh Alghamdi, Harpal Singh Sandhu, Hani M. K. Mahdi, Ayman S El-Baz · 2023 · Scientific Reports
31. Deep Generative Model for Inverse Design of High-Temperature Superconductor Compositions with Predicted Tc > 77 K
    Chengquan Zhong, Jingzi Zhang, Xiaoting Lu, Ke Zhang, Jiakai Liu, Kailong Hu, Junjie Chen, Xi Lin · 2023 · ACS Applied Materials & Interfaces
32. PGSL: A probabilistic graph diffusion model for source localization
    Xovee Xu, Tangjiang Qian, Zhe Xiao, Ni Zhang, Jin Wu, Fan Zhou · 2023 · Expert Systems with Applications
33. YOLO-FSD: An Improved Target Detection Algorithm on Remote-Sensing Images
    Hu Zhao, Kaibin Chu, Ji Zhang, Chengtao Feng · 2023 · IEEE Sensors Journal
34. Permutationally Invariant Networks for Enhanced Sampling (PINES): Discovery of Multimolecular and Solvent-Inclusive Collective Variables
    Nicholas S. M. Herringer, Siva Dasetty, Diya Gandhi, Junhee Lee, Andrew L. Ferguson · 2023 · Journal of Chemical Theory and Computation
35. Designing workflows for materials characterization
    Sergei V. Kalinin, Maxim A Ziatdinov, Mahshid Ahmadi, Ayana Ghosh, Kevin M. Roccapriore, Yongtao Liu, Rama Krishnan Vasudevan · 2024 · Applied Physics Reviews
36. Learning from Nature to Achieve Material Sustainability: Generative AI for Rigorous Bio-inspired Materials Design
    Rachel K. Luu, Sofia E. Arevalo, Wei Lu, Bo Ni, Zhenze Yang, Sabrina Chin-yun Shen, Jaime Berkovich, Yu-Chuan Hsu, Stone Zan, Markus J. Buehler · 2024 · An MIT Exploration of Generative AI
37. DKVMN-KAPS: Dynamic Key-Value Memory Networks Knowledge Tracing With Students’ Knowledge-Absorption Ability and Problem-Solving Ability
    Wei Zhang, Zhongwei Gong, Peihua Luo, Zhixin Li · 2024 · IEEE Access
38. Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment
    Saúl Cano-Ortiz, E. Sainz-Ortiz, L. Lloret Iglesias, P. Martínez Ruiz del Árbol, Daniel Castro‐Fresno · 2024 · Results in Engineering
39. Change Detection from Remote Sensing to Guide OpenStreetMap Labeling
    Conrad M Albrecht, Rui Zhang, Xiaodong Cui, Marcus Freitag, Hendrik F. Hamann, Levente J. Klein, Ulrich Finkler, Fernando J. Marianno, Johannes Schmude, Norman Bobroff et al. · 2020 · ISPRS International Journal of Geo-Information
40. Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps
    Durant Fullington, Emmanuel Yangue, Mahathir Mohammad Bappy, Chenang Liu, Wenmeng Tian · 2024 · Journal of Manufacturing Systems
41. CVAE-based inverse design of two-dimensional honeycomb pentamode metastructure for acoustic cloaking
    Gen Li, Lihua Tang, Vladislav Sorokin, Shao‐Hua Wang · 2024 · Thin-Walled Structures
42. Reduced order modeling with shallow recurrent decoder networks
    Matteo Tomasetto, Jan P. Williams, Francesco Braghin, Andrea Manzoni, J. Nathan Kutz · 2025 · Nature Communications
43. A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing
    Yi Zhang, Peng Peng, Chongdang Liu, Yanyan Xu, Heming Zhang · 2020 · Journal of Intelligent Manufacturing
44. Application of deep learning to large scale riverine flow velocity estimation
    Mojtaba Forghani, Yizhou Qian, Jonghyun Harry Lee, Matthew W. Farthing, Tyler Hesser, Peter K. Kitanidis, Eric Darve · 2021 · Stochastic Environmental Research and Risk Assessment
45. Characterization of uncertainties and model generalizability for convolutional neural network predictions of uranium ore concentrate morphology
    Cody A. Nizinski, Cuong Ly, Clement Vachet, Alex Hagen, Tolga Taşdizen, Luther W. McDonald · 2022 · Chemometrics and Intelligent Laboratory Systems
46. Random CNN structure: tool to increase generalization ability in deep learning
    Bartosz Świderski, S. Osowski, Grzegorz Gwardys, Jarosław Kurek, Monika Słowińska, Iwona A. Lugowska · 2022 · EURASIP Journal on Image and Video Processing
47. Unsupervised learning architecture for classifying the transient noise of interferometric gravitational-wave detectors
    Yusuke Sakai, Y. Itoh, Piljong Jung, K. Kokeyama, Chihiro Kozakai, Katsuko T. Nakahira, S. Oshino, Yutaka Shikano, Hirotaka Takahashi, Takashi Uchiyama et al. · 2022 · Scientific Reports
48. Generating experimentally unrelated target molecule-binding highly functionalized nucleic-acid polymers using machine learning
    Jonathan C. Chen, Jonathan P. Chen, Max W. Shen, Michael Wornow, Minwoo Bae, Wei-Hsi Yeh, Alvin Hsu, David R. Liu · 2022 · Nature Communications
49. Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks
    Shiwei Lan, Shuyi Li, Babak Shahbaba · 2022 · SIAM/ASA Journal on Uncertainty Quantification
50. A multiscale recurrent neural network model for predicting energy production from geothermal reservoirs
    Anyue Jiang, Zhen Qin, Dave Faulder, Trenton T. Cladouhos, Behnam Jafarpour · 2023 · Geothermics
51. Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells
    Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki · 2023 · Applied Intelligence
52. Manufacturing industry based on dynamic soft sensors in integrated with feature representation and classification using fuzzy logic and deep learning architecture
    Shakir Khan, Tamanna Siddiqui, Mourade Azrour, Bayan Ibrahimm Alabduallah, Saad Abdullah Alajlan, Abrar Almjally, Bader M. Albahlal, Amani Alfaifi · 2023 · The International Journal of Advanced Manufacturing Technology
53. Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability
    Chunjie Zhang, Renguang Zuo · 2024 · Mathematical Geosciences
54. Methods and applications of machine learning in computational design of optoelectronic semiconductors
    Xiaoyu Yang, Kun Zhou, Xin He, Lijun Zhang · 2024 · Science China Materials
55. Enhancing continuous time series modelling with a latent ODE-LSTM approach
    C. Coelho, M. Fernanda P. Costa, Luís Lima Ferrás · 2024 · Applied Mathematics and Computation
56. Feature learning and patch matching for diverse image inpainting
    Yuan Zeng, Yi Gong, Jin Zhang · 2021 · Pattern Recognition
57. Systematically characterizing the roles of E3-ligase family members in inflammatory responses with massively parallel Perturb-seq
    Kathryn Geiger-Schuller, Basak Eraslan, Olena Kuksenko, Kushal K. Dey, Karthik A. Jagadeesh, Pratiksha I. Thakore, Özge Karayel, Andrea R. Yung, Anugraha R. Rajagopalan, Ana M. Meireles et al. · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
58. Stochastic inversion of geophysical data by a conditional variational autoencoder
    Wallace Anderson McAliley, Yaoguo Li · 2023 · Geophysics
59. Identification of extracellular vesicles from their Raman spectra via self-supervised learning
    Mathias Novik Jensen, Eduarda M. Guerreiro, Agustin Enciso‐Martinez, Sergei G. Kruglik, Cees Otto, Omri Snir, Benjamin Ricaud, Olav Gaute Hellesø · 2024 · Scientific Reports
60. An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection
    Faleh Alshameri, Ran Xia · 2024 · Big Data Mining and Analytics
61. Physics-Informed Score-Based Diffusion Model for Limited-Angle Reconstruction of Cardiac Computed Tomography
    Shuo Han, Yongshun Xu, Dayang Wang, Bahareh Morovati, L. P. Zhou, Jonathan S. Maltz, Ge Wang, Hengyong Yu · 2024 · IEEE Transactions on Medical Imaging
62. Augmenting a spine CT scans dataset using VAEs, GANs, and transfer learning for improved detection of vertebral compression fractures
    Zeina El Kojok, Hadi Al Khansa, Fouad S. Trad, Ali Chehab · 2024 · Computers in Biology and Medicine
63. Generative adversarial networks-enabled anomaly detection systems: A survey
    Umer Saeed, Sana Ullah Jan, Jawad Elsayed Ahmad, Syed Aziz Shah, Mohammed S. Alshehri, Yazeed Yasin Ghadi, Nikolaos Pitropakis, William Johnston Buchanan · 2025 · Expert Systems with Applications
64. RadioDiff- k 2 : Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction
    Xiucheng Wang, Qiming Zhang, Nan Cheng, Ruijin Sun, Zan Li, Shuguang Robert Cui, Xuemin Shen · 2025 · IEEE Journal on Selected Areas in Communications
65. Revisiting Bayesian Autoencoders With MCMC
    Rohitash Chandra, Mahir Jain, Manavendra Maharana, Pavel N. Krivitsky · 2022 · IEEE Access
66. An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders
    Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini · 2021 · Entropy
67. Collective Variational Inference for Personalized and Generative Physiological Modeling: A Case Study on Hemorrhage Resuscitation
    Ali Tivay, George C. Kramer, Jin‐Oh Hahn · 2021 · IEEE Transactions on Biomedical Engineering
68. Optimizing Startshot Lightsail Design: A Generative Network-Based Approach
    Zhaxylyk A. Kudyshev, Alexander V. Kildishev, Vladimir M. Shalaev, Alexandra E. Boltasseva · 2021 · ACS Photonics
69. De-noising drift chambers in CLAS12 using convolutional auto encoders
    Polykarpos Thomadakis, Angelos Angelopoulos, Gagik Gavàlian, Nikos P. Chrisochoides · 2021 · Computer Physics Communications
70. Deep Learning for Latent Space Data Assimilation in Subsurface Flow Systems
    Syamil Mohd Razak, Atefeh Jahandideh, Ulugbek Djuraev, Behnam Jafarpour · 2022 · SPE Journal
71. Encoded Value-at-Risk: A machine learning approach for portfolio risk measurement
    Hamid R. Arian, Mehrdad Moghimi, Ehsan Tabatabaei, Shiva Zamani · 2022 · Mathematics and Computers in Simulation
72. Anomaly detection under coordinate transformations
    Gregor Kasieczka, Radha Mastandrea, V. M. Mikuni, Benjamin Philip Nachman, Mariel Nelson Pettee, David Shih · 2023 · Physical review. D/Physical review. D.
73. Computational and data-driven modelling of solid polymer electrolytes
    Kaiyang Wang, Haoyuan Shi, Tianjiao Li, Liming Zhao, Hanfeng Zhai, Deepa Korani, Jingjie Yeo · 2023 · Digital Discovery
74. Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems
    Phai Vu Dinh, Quang Uy Nguyen, Dinh Thai Hoang, Diep Ngoc Nguyen, Son Pham Bao, Eryk Dutkiewicz · 2023 · IEEE Internet of Things Journal
75. A survey of appearance-based approaches for human gait recognition: techniques, challenges, and future directions
    Pınar Güner Şahan, Suhap Şahın, Fidan Kaya Gülağız · 2024 · The Journal of Supercomputing
76. Cold Diffusion Model for Seismic Denoising
    Daniele Trappolini, Laura Laurenti, Giulio Poggiali, Elisa Tinti, Fabio Galasso, Alberto Michelini, Chris J. Marone · 2024 · Journal of Geophysical Research Machine Learning and Computation
77. Improving deep learning-based automatic cranial defect reconstruction by heavy data augmentation: From image registration to latent diffusion models
    Marek Wodziński, Kamil Kwarciak, Mateusz Danioł, Daria Hemmerling · 2024 · Computers in Biology and Medicine
78. Designing microplastic-binding peptides with a variational quantum circuit–based hybrid quantum-classical approach
    Raul Conchello Vendrell, Akshay Ajagekar, Michael T. Bergman, Carol K. Hall, Fengqi You · 2024 · Science Advances
79. An unsupervised approach to early fault detection and performance degradation assessment in bearings
    Shun Wang, Yolanda Vidal, Francesc Pozo · 2025 · Advanced Engineering Informatics
80. Subtle anomaly detection: Application to brain MRI analysis of de novo Parkinsonian patients
    Verónica Muñoz-Ramírez, Virgilio Kmetzsch, Florence Forbes, Sara Meoni, Elena Moro, Michel Dojat · 2022 · Artificial Intelligence in Medicine
81. BeCaked: An Explainable Artificial Intelligence Model for COVID-19 Forecasting
    Quang Duc Nguyen, Nghia Quang Vo, Thinh T. Nguyen, Khuong Nguyen-An, Quang H. Nguyen, Trần Ngọc Đăng, Tho Quan · 2022 · Scientific Reports
82. Common genetic variation associated with Mendelian disease severity revealed through cryptic phenotype analysis
    David R. Blair, Thomas J. Hoffmann, Joseph T.C. Shieh · 2022 · Nature Communications
83. Inverse design with flexible design targets via deep learning: Tailoring of electric and magnetic multipole scattering from nano-spheres
    Ana Estrada‐Real, Abdourahman Khaireh-Walieh, Bernhard Urbaszek, Peter R. Wiecha · 2022 · Photonics and Nanostructures - Fundamentals and Applications
84. Probe microscopy is all you need *
    Sergei V. Kalinin, Rama Krishnan Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin M. Roccapriore, Maxim A Ziatdinov · 2023 · Machine Learning Science and Technology
85. Attention mechanism-guided residual convolution variational autoencoder for bearing fault diagnosis under noisy environments
    Xiaoan Yan, Yanyu Lü, Ying Liu, Minping Jia · 2023 · Measurement Science and Technology
86. Elsa: enhanced latent spaces for improved collider simulations
    Benjamin Philip Nachman, Ramon Winterhalder · 2023 · The European Physical Journal C
87. Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations
    Kristian Gundersen, Anna Oleynik, Nello Blaser, Guttorm Alendal · 2021 · NORA - Norwegian Open Research Archives
88. Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier
    Guillaume Carbajal, Julius Richter, Timo Gerkmann · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
89. Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces
    Zhaojun Sun, Xin Li, Yiming Wu, Qilin Gu, Shiyou Zheng · 2025 · Advanced Intelligent Systems
90. Personalized learning path planning for higher education based on deep generative models and quantum machine learning: a multimodal learning analysis method integrating transformer, adversarial training and quantum state classification
    Changzhi Sun, Shijie Huang, Banghui Sun, Shiwei Chu · 2025 · Discover Artificial Intelligence
91. Data-driven CFRP machining performance prediction and optimization: Advances, challenges and future prospects
    Jia Ge, Jiduo Zhang, Moran Xu, Ming Wu, Zequan Yao, Guoyu Fu, Wenchang Zhang, Brian George Falzon, G. Catalanotti, Jinyang Xu et al. · 2025 · Thin-Walled Structures
92. Learning Subject-Generalized Topographical EEG Embeddings Using Deep Variational Autoencoders and Domain-Adversarial Regularization
    Juan Lorenzo Hagad, Tsukasa Kimura, Ken–ichi Fukui, Masayuki Numao · 2021 · Sensors
93. GoTreeScape: Navigate and Explore the Tree Visualization Design Space
    Guozheng Li, Xiaoru Yuan · 2022 · IEEE Transactions on Visualization and Computer Graphics
94. Inverse design meets nanophotonics: From computational optimization to artificial neural network
    Jaebum Noh, Trevon Badloe, Chihun Lee, Jooyeong Yun, Sunae So, Junsuk Rho · 2023 · Elsevier eBooks
95. Conditional Variational AutoEncoder based on Stochastic Attacks
    Gabriel Zaid, Lilian Bossuet, Mathieu Carbone, Amaury Habrard, Alexandre Venelli · 2023 · IACR Transactions on Cryptographic Hardware and Embedded Systems
96. Conditional quantum circuit Born machine based on a hybrid quantum–classical framework
    Qing-Wei Zeng, Hong-Ying Ge, Chen Gong, Nanrun Zhou · 2023 · Physica A Statistical Mechanics and its Applications
97. Causal Inference with Conditional Instruments Using Deep Generative Models
    Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
98. CWGAN-GP with residual network model for lithium-ion battery thermal image data expansion with quantitative metrics
    Fengshuo Hu, Chaoyu Dong, Luyu Tian, Yunfei Mu, Xiaodan Yu, Hongjie Jia · 2023 · Energy and AI
99. Experimental investigation of machine-learning-based soft-failure management using the optical spectrum
    Lars Eike Kruse, Sebastian Kühl, Annika Dochhan, Stephan M. Pachnicke · 2023 · Journal of Optical Communications and Networking
100. Mitigating the Impact of Temperature Variations on Ultrasonic Guided Wave-Based Structural Health Monitoring through Variational Autoencoders
     Rafael Junges, Luca Lomazzi, Lorenzo Miele, Marco Giglio, Francesco Cadini · 2024 · Sensors