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检索条件"主题词=variational autoencoder"
1554 条 记 录,以下是1351-1360 订阅
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variational autoencoders for Missing Data Imputation with Application to a Simulated Milling Circuit
Variational Autoencoders for Missing Data Imputation with Ap...
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5th IFAC Workshop on Mining, Mineral and Metal Processing (MMM)
作者: McCoy, John T. Kroon, Steve Auret, Lidia Stellenbosch Univ Dept Proc Engn Private Bag X1 ZA-7602 Matieland South Africa Stellenbosch Univ Div Comp Sci Private Bag X1 ZA-7602 Matieland South Africa
Missing data values and differing sampling rates, particularly for important parameters such as particle size and stream composition, are a common problem in minerals processing plants. Missing data imputation is used... 详细信息
来源: 评论
Machine learning distributions of quantum ansatz with hierarchical structure
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INTERNATIONAL JOURNAL OF MODERN PHYSICS B 2020年 第20期34卷
作者: Situ, Haozhen He, Zhimin South China Agr Univ Coll Math & Informat Guangzhou 510642 Peoples R China Foshan Univ Sch Elect & Informat Engn Foshan 528000 Peoples R China
Machine learning techniques can help to represent and solve quantum systems. Learning measurement outcome distribution of quantum ansatz is useful for characterization of near-term quantum computing devices. In this w... 详细信息
来源: 评论
Crystal structure prediction in a continuous representative space
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COMPUTATIONAL MATERIALS SCIENCE 2021年 194卷 110436-110436页
作者: Lee, In-Ho Chang, K. J. Korea Res Inst Stand & Sci Daejeon 34113 South Korea Korea Adv Inst Sci & Technol Dept Phys Daejeon 34141 South Korea
Here we report a method of finding multiple crystal structures similar to the known crystal structures of materials on database through machine learning. The radial distribution function is used to represent the gener... 详细信息
来源: 评论
Design subspace learning: Structural design space exploration using performance-conditioned generative modeling
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AUTOMATION IN CONSTRUCTION 2021年 127卷 103664-103664页
作者: Danhaive, Renaud Mueller, Caitlin T. MIT Bldg Technol Program Dept Architecture 77 Massachusetts Ave Cambridge MA 02139 USA
Designers increasingly rely on parametric design studies to explore and improve structural concepts based on quantifiable metrics, generally either by generating design variations manually or using optimization method... 详细信息
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Domain Adaptation for Synthesis of Hazy Images
Domain Adaptation for Synthesis of Hazy Images
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作者: Haoying Sun Yutong Zheng Qing Lang School of Information Engineering Minzu University of China
Most existing image dehazing methods based learning are less able to perform well to real hazy *** important reason is that they are trained on synthetic hazy images whose distribution is different from real hazy *** ... 详细信息
来源: 评论
Editorial overview: Artificial intelligence (AI) methodologies in structural biology
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CURRENT OPINION IN STRUCTURAL BIOLOGY 2022年 第0期74卷 102387页
作者: Cheng, Feixiong Tuncbag, Nurcan Cleveland Clin Genom Med Inst Lerner Res Inst Cleveland OH 44195 USA Case Western Reserve Univ Dept Mol Med Cleveland Clin Lerner Coll Med Cleveland OH 44195 USA Case Western Reserve Univ Case Comprehens Canc Ctr Sch Med Cleveland OH 44106 USA Koc Univ Dept Chem & Biol Engn Coll Engn TR-34450 Istanbul Turkey Koc Univ Sch Med TR-34450 Istanbul Turkey
来源: 评论
COIL: Constrained optimization in learned latent space: learning representations for valid solutions  22
COIL: Constrained optimization in learned latent space: lear...
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Proceedings of the Genetic and Evolutionary Computation Conference Companion
作者: Peter J. Bentley Soo Ling Lim Adam Gaier Linh Tran UCL London UK Autodesk Research London UK
Constrained optimization problems can be difficult because their search spaces have properties not conducive to search, e.g., multimodality, discontinuities, or deception. To address such difficulties, considerable re... 详细信息
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Dynamic Joint variational Graph autoencoders  19th
Dynamic Joint Variational Graph Autoencoders
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
作者: Mahdavi, Sedigheh Khoshraftar, Shima An, Aijun York Univ Dept Elect Engn & Comp Sci Toronto ON Canada
Learning network representations is a fundamental task for many graph applications such as link prediction, node classification, graph clustering, and graph visualization. Many real-world networks are interpreted as d... 详细信息
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Intraoperative Liver Surface Completion with Graph Convolutional VAE  2nd
Intraoperative Liver Surface Completion with Graph Convoluti...
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2nd International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE) / 3rd International Workshop on Graphs in Biomedical Image Analysis (GRAIL)
作者: Foti, Simone Koo, Bongjin Dowrick, Thomas Ramalhinho, Joao Allam, Moustafa Davidson, Brian Stoyanov, Danail Clarkson, Matthew J. UCL Wellcome EPSRC Ctr Intervent & Surg Sci London England UCL Ctr Med Image Comp London England UCL Div Surg & Intervent Sci London England
In this work we propose a method based on geometric deep learning to predict the complete surface of the liver, given a partial point cloud of the organ obtained during the surgical laparoscopic procedure. We introduc... 详细信息
来源: 评论
Synthesizing labeled data to enhance soft sensor performance in data-scarce regions
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CONTROL ENGINEERING PRACTICE 2021年 115卷 104903-104903页
作者: Lyu, Yuting Chen, Junghui Song, Zhihuan Zhejiang Univ Sci & Technol Sch Automat & Elect Engn Hangzhou 310023 Peoples R China Chung Yuan Christian Univ Dept Chem Engn Taoyuan 32023 Taiwan Zhejiang Univ State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China
Quality variables are key indicators of the operating performance in industrial processes. Because they are difficult to measure, soft sensor models can be adopted to predict them timely. For accurate prediction, suff... 详细信息
来源: 评论