Differentiable Framework for Full
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A Differentiable Framework for Full and Phaseless Data Inversion Using Neural Implicit Contrast-Source Representation
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A Differentiable Framework for Full and Phaseless Data Inversion Using Neural Implicit Contrast-Source Representation
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Minimal Solvers for Full-DoF Motion Estimation from Asynchronous Differential SfM
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Finite Element-Based Material Learning via Automatic Differentiation: Learning constitutive neural network models from full-field deformation data
arXiv:2606.05199v1 Announce Type: cross Abstract: The identification of constitutive neural network models from heterogeneous full-field deformation data provides a robust alternative to traditional calibration methods based on homogeneous stress-strain experiments, particularly given the high dimensionality of trainable parameters. Existing approaches must balance generality, robustness, and computational efficiency: Conventional finite element model updating is broadly applicable but...
Finite Element-Based Material Learning via Automatic Differentiation: Learning constitutive neural network models from full-field deformation data
arXiv:2606.05199v1 Announce Type: new Abstract: The identification of constitutive neural network models from heterogeneous full-field deformation data provides a robust alternative to traditional calibration methods based on homogeneous stress-strain experiments, particularly given the high dimensionality of trainable parameters. Existing approaches must balance generality, robustness, and computational efficiency: Conventional finite element model updating is broadly applicable but...
Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation
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End-to-End Inverse Designed Single-Layered Metasurface for Snapshot RGB-Achromatic Full-Stokes Polarization Imaging
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Motion Tracking with Muscles: Predictive Control of a Parametric Musculoskeletal Canine Model
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Full-Field Calibration of Coupled Thermomechanical Material Models at Finite Strain
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Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics
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