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检索条件"机构=Engineering Laboratory in Theoretical Enumerable System Department of Computer Engineering"
25 条 记 录,以下是1-10 订阅
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PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
arXiv
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arXiv 2023年
作者: Gan, Weijie Zhai, Qiuchen McCann, Michael Thompson Cardona, Cristina Garcia Kamilov, Ulugbek S. Wohlberg, Brendt Department of Computer Science & Engineering Washington University in St. Louis St. LouisMO63110 United States School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Theoretical Division Los Alamos National Laboratory Los AlamosNM87545 United States Department of Electrical & System Engineering Washington University in St. Louis St. LouisMO63110 United States
Ptychography is an imaging technique that captures multiple overlapping snapshots of a sample, illuminated coherently by a moving localized probe. The image recovery from ptychographic data is generally achieved via a... 详细信息
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Two-Stage Neural Network Classifier for the Data Imbalance Problem with Application to Hotspot Detection  21
Two-Stage Neural Network Classifier for the Data Imbalance P...
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Proceedings of the 58th Annual ACM/IEEE Design Automation Conference
作者: Bingshu Wang Lanfan Jiang Wenxing Zhu Longkun Guo Jianli Chen Yao-Wen Chang Center for Discrete Mathematics and Theoretical Computer Science Fuzhou University Fuzhou China Center for Discrete Mathematics and Theoretical Computer Science Fuzhou University Fuzhou China and Peng Cheng Laboratory Shenzhen China State Key Lab of ASIC & System Fudan University Shanghai China Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan and Department of Electrical Engineering National Taiwan University Taipei Taiwan
The data imbalance problem often occurs in nanometer VLSI applications, where normal cases far outnumber error ones. Many imbalanced data handling methods have been proposed, such as oversampling minority class sample...
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Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach
arXiv
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arXiv 2022年
作者: Goyes-Peñafiel, Paul Vargas, Edwin Correa, Claudia V. Sun, Yu Kamilov, Ulugbek S. Wohlberg, Brendt Arguello, Henry The Department of Computer Science Universidad Industrial de Santander Bucaramanga680002 Colombia The Department of Electronics Engineering Universidad Industrial de Santander Bucaramanga680002 Colombia The Department of Computer Science & Engineering Washington University in St. Louis St. LouisMO63130 United States The Department of Electrical & System Engineering The Department of Computer Science & Engineering Washington University in St. Louis St. LouisMO63130 United States Theoretical Division Los Alamos National Laboratory Los AlamosNM87545 United States
Physical and budget constraints often result in irregular sampling, which complicates accurate subsurface imaging. Pre-processing approaches, such as missing trace or shot interpolation, are typically employed to enha... 详细信息
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Mixed-Cell-Height Legalization Considering Technology and Region Constraints
Mixed-Cell-Height Legalization Considering Technology and Re...
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作者: Zhu, Ziran Chen, Jianli Zhu, Wenxing Chang, Yao-Wen Center for Discrete Mathematics and Theoretical Computer Science Fuzhou University Fuzhou China State Key Laboratory of ASIC and System Fudan University Shanghai China Department of Electrical Engineering Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan
Mixed-cell-height circuits have become popular in advanced technologies for better power, area, routability, and performance tradeoffs. With technology and region constraints imposed by modern circuit designs, the mix... 详细信息
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Clock-Aware Placement for Large-Scale Heterogeneous FPGAs
Clock-Aware Placement for Large-Scale Heterogeneous FPGAs
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作者: Chen, Jianli Lin, Zhifeng Kuo, Yun-Chih Huang, Chau-Chin Chang, Yao-Wen Chen, Shih-Chun Chiang, Chun-Han Kuo, Sy-Yen State Key Laboratory of Asic and System Fudan University Shanghai China College of Mathematics and Computer Science Fuzhou University Fuzhou China MediaTek Hsinchu Taiwan Synopsys Hsinchu Taiwan Department of Electrical Engineering Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Center for Discrete Mathematics and Theoretical Computer Science Fuzhou University Fuzhou350000 China Department of Computer Science and Information Engineering National Taiwan University Taipei106 Taiwan
A modern field-programmable gate array (FPGA) often contains an ASIC-like clocking architecture which is crucial to achieve better skew and performance. Existing conventional FPGA placement algorithms seldom consider ... 详细信息
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DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials
arXiv
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arXiv 2025年
作者: Zeng, Jinzhe Zhang, Duo Peng, Anyang Zhang, Xiangyu He, Sensen Wang, Yan Liu, Xinzijian Bi, Hangrui Li, Yifan Cai, Chun Zhang, Chengqian Du, Yiming Zhu, Jia-Xin Mo, Pinghui Huang, Zhengtao Zeng, Qiyu Shi, Shaochen Qin, Xuejian Yu, Zhaoxi Luo, Chenxing Ding, Ye Liu, Yun-Pei Shi, Ruosong Wang, Zhenyu Bore, Sigbjørn Løland Chang, Junhan Deng, Zhe Ding, Zhaohan Han, Siyuan Jiang, Wanrun Ke, Guolin Liu, Zhaoqing Lu, Denghui Muraoka, Koki Oliaei, Hananeh Singh, Anurag Kumar Que, Haohui Xu, Weihong Xu, Zhangmancang Zhuang, Yong-Bin Dai, Jiayu Giese, Timothy J. Jia, Weile Xu, Ben York, Darrin M. Zhang, Linfeng Wang, Han School of Artificial Intelligence and Data Science Unversity of Science and Technology of China Hefei China AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing China Baidu Inc. Beijing China Department of Computer Science University of Toronto TorontoON Canada Department of Chemistry Princeton University PrincetonNJ08540 United States University of Chinese Academy of Sciences Beijing100871 China State Key Laboratory of Physical Chemistry of Solid Surfaces iChEM College of Chemistry and Chemical Engineering Xiamen University Xiamen361005 China College of Integrated Circuits Hunan University Changsha410082 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center for Smart Materials and Device Integration School of Material Science and Engineering Wuhan University of Technology Wuhan430070 China College of Science National University of Defense Technology Changsha410073 China Hunan Key Laboratory of Extreme Matter and Applications National University of Defense Technology Changsha410073 China ByteDance Research Beijing100098 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Theoretical and Computational Photochemistry of Ministry of Education College of Chemistry Beijing Normal University Beijing100875 China Department of Geosciences Princeton University PrincetonNJ08544 United States Department of Applied Physics and Applied Mathematics Columbia University New YorkNY10027 United States IKKEM Fujian Xiamen361005 China Graduate
In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for molecular dynamics (MD) simulations an... 详细信息
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Dynamical phases of short-term memory mechanisms in RNNs
arXiv
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arXiv 2025年
作者: Kurtkaya, Bariscan Dinc, Fatih Yuksekgonul, Mert Blanco-Pozo, Marta Cirakman, Ege Schnitzer, Mark Yemez, Yucel Tanaka, Hidenori Yuan, Peng Miolane, Nina CNC Program Stanford University Stanford United States KUIS AI Center Department of Computer Engineering Koc University Turkey Geometric Intelligence Lab UC Santa Barbara Santa Barbara United States Kavli Institute for Theoretical Physics UC Santa Barbara Santa Barbara United States Stanford University Stanford United States James H. Clark Center for Biomedical Engineering & Sciences Stanford University Stanford United States Howard Hughes Medical Institute Stanford University Stanford United States Phi Lab NTT Research Sunnyvale United States Center for Brain Science Harvard University Cambridge United States State Key Laboratory of Medical Neurobiology Institute for Translational Brain Research MOE Frontiers Center for Brain Science Fudan University China Research Institute of Intelligent Complex System Fudan University China
Short-term memory is essential for cognitive processing, yet our understanding of its neural mechanisms remains unclear. A key focus in neuroscience has been the study of sequential activity patterns, where neurons fi... 详细信息
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Learning from learning machines: A new generation of AI technology to meet the needs of science
arXiv
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arXiv 2021年
作者: Pion-Tonachini, Luca Bouchard, Kristofer Martin, Hector Garcia Peisert, Sean Holtz, W. Bradley Aswani, Anil Dwivedi, Dipankar Wainwright, Haruko Pilania, Ghanshyam Nachman, Benjamin Marrone, Babetta L. Falco, Nicola Prabhat Arnold, Daniel Wolf-Yadlin, Alejandro Powers, Sarah Climer, Sharlee Jackson, Quinn Carlson, Ty Sohn, Michael Zwart, Petrus Kumar, Neeraj Justice, Amy Tomlin, Claire Jacobson, Daniel Micklem, Gos Gkoutos, Georgios V. Bickel, Peter J. Cazier, Jean-Baptiste Müller, Juliane Webb-Robertson, Bobbie-Jo Stevens, Rick Anderson, Mark Kreutz-Delgado, Ken Mahoney, Michael W. Brown, James B. Pattern Computer Inc. Friday HarborWA98250 United States Biosciences Area Lawrence Berkeley National Lab BerkeleyCA94803 United States Computational Research Division Lawrence Berkeley National Lab BerkeleyCA94720 United States Helen Wils Neuroscience Institute Redwood Center for Theoretical Neuroscience Uc Berkeley BerkeleyCA94720 United States Doe Agile BioFoundry Lawrence Berkeley National Laboratory BerkeleyCA94803 United States Joint BioEnergy Institute Lawrence Berkeley National Laboratory BerkeleyCA94803 United States Bcam Basque Center for Applied Mathematics Bilbao48009 Spain Computer Science University of California Davis DavisCA95616 United States Cenic La MiradaCA90638 United States Health Informatics University of California Davis School of Medicine SacramentoCA95817 United States Berkeley Institute for Data Science University of California Berkeley BerkeleyCA94720 United States Industrial Engineering and Operations Research University of California Berkeley BerkeleyCA94720 United States Environmental & Earth Sciences Area Lawrence Berkeley National Laboratory BerkeleyCA94803 United States Nuclear Engineering University of California Berkeley BerkeleyCA94720 United States Materials Science and Technology Division Los Alamos National Laboratory Los AlamosNM87545 United States Physics Division Lawrence Berkeley National Lab BerkeleyCA94720 United States Bioscience Division Los Alamos National Laboratory Los AlamosNM87545 United States Earth and Environmental Sciences Area Lawrence Berkeley National Lab BerkeleyCA94803 United States Energy Technologies Area Lawrence Berkeley National Lab BerkeleyCA94803 United States Computing and Computational Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Industrial & Systems Engineering The University of Tennessee KnoxvilleTN37996 United States Department of Computer Science University of Missouri-Saint Louis St. LouisMO63121 United
We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science create tension between identifying patte... 详细信息
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts
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BMC NEUROSCIENCE 2017年 第SUPPL 1期18卷 95-176页
作者: [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ
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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts
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BMC NEUROSCIENCE 2016年 第1期17卷 1-112页
作者: [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil
A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mits...
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