Results 281 to 290 of about 26,173,429 (328)
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Asymptotic nonlinear model matching
29th IEEE Conference on Decision and Control, 1990The problem of matching a given input-output behavior for systems described by general nonlinear differential equations is considered. The paper complements previous work on the exact matching of a model for nonlinear systems. In particular, the authors investigate the case where the initial state does not belong to the appropriate submanifold of the ...
R. Castro, DI BENEDETTO, MARIA DOMENICA
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SPIE Proceedings, 2008
An important need in the Optical Proximity Correction (OPC) process is to be able to identify problem correction areas. However, many times when a problem correction area is identified, multiple instances of the same problem occur throughout the correction.
Lawrence S. Melvin III +2 more
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An important need in the Optical Proximity Correction (OPC) process is to be able to identify problem correction areas. However, many times when a problem correction area is identified, multiple instances of the same problem occur throughout the correction.
Lawrence S. Melvin III +2 more
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International Conference on Machine Learning
Diffusion models and Flow Matching generate high-quality samples but are slow at inference, and distilling them into few-step models often leads to instability and extensive tuning. To resolve these trade-offs, we propose Inductive Moment Matching (IMM),
Linqi Zhou, Stefano Ermon, Jiaming Song
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Diffusion models and Flow Matching generate high-quality samples but are slow at inference, and distilling them into few-step models often leads to instability and extensive tuning. To resolve these trade-offs, we propose Inductive Moment Matching (IMM),
Linqi Zhou, Stefano Ermon, Jiaming Song
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Mathematics of Control, Signals, and Systems, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Miller, Daniel E., Davison, Edward J.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Miller, Daniel E., Davison, Edward J.
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AlphaFold Meets Flow Matching for Generating Protein Ensembles
International Conference on Machine LearningThe biological functions of proteins often depend on dynamic structural ensembles. In this work, we develop a flow-based generative modeling approach for learning and sampling the conformational landscapes of proteins. We repurpose highly accurate single-
Bowen Jing, Bonnie Berger, T. Jaakkola
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Show-o2: Improved Native Unified Multimodal Models
arXiv.orgThis paper presents improved native unified multimodal models, \emph{i.e.,} Show-o2, that leverage autoregressive modeling and flow matching. Built upon a 3D causal variational autoencoder space, unified visual representations are constructed through a ...
Jinheng Xie +2 more
semanticscholar +1 more source
2010
Circuit operation greatly depends on the ability to control and reproduce transistor and process parameters, such as oxide thickness, dielectric constants, doping levels, width and length. Variation in processing was in the past countered by defining process corners: boundaries in parameter variation that accounted for remaining process tolerances ...
Marcel Pelgrom +2 more
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Circuit operation greatly depends on the ability to control and reproduce transistor and process parameters, such as oxide thickness, dielectric constants, doping levels, width and length. Variation in processing was in the past countered by defining process corners: boundaries in parameter variation that accounted for remaining process tolerances ...
Marcel Pelgrom +2 more
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DEIM: DETR with Improved Matching for Fast Convergence
Computer Vision and Pattern RecognitionWe introduce DEIM, an innovative and efficient training framework designed to accelerate convergence in real-time object detection with Transformer-based architectures (DETR).
Shihua Huang +5 more
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From Matching to Generation: A Survey on Generative Information Retrieval
ACM Trans. Inf. Syst.Information Retrieval (IR) systems are crucial tools for users to access information, which have long been dominated by traditional methods relying on similarity matching.
Xiaoxi Li +6 more
semanticscholar +1 more source
1977
Abstract : Results form this work on model-based scene-matching schemes lead us to believe that our approach is sufficiently sound and robust to perform adequately with complex real imagery appropriate to various possible mission scenarios. Some of these results were given in this report; in particular, schemes include: the feasibility demonstration of
B. L. Bullock +4 more
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Abstract : Results form this work on model-based scene-matching schemes lead us to believe that our approach is sufficiently sound and robust to perform adequately with complex real imagery appropriate to various possible mission scenarios. Some of these results were given in this report; in particular, schemes include: the feasibility demonstration of
B. L. Bullock +4 more
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