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David Hyde
Scholar

David Hyde

Google Scholar ID: 1Hcz5c0AAAAJ
Unknown affiliation
computational physicsfluid simulationmachine learninghigh-performance computing
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Citations & Impact
All-time
Citations
475
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
8
list available
Publications
9 items
STA-FEM: Exact Streaming Assembly for Preplanned Dynamic Tetrahedral Topology Edits
2026
Cited
0
ASAP: Amortized Doubly-Stochastic Attention via Sliced Dual Projection
2026
Cited
0
On the Structural Failure of Chamfer Distance in 3D Shape Optimization
2026
Cited
0
CulinaryCut-VLAP: A Vision-Language-Action-Physics Framework for Food Cutting via a Force-Aware Material Point Method
arXiv.org · 2026
Cited
0
PhysMorph-GS: Differentiable Shape Morphing via Joint Optimization of Physics and Rendering Objectives
2025
Cited
0
Less is More: Data-Efficient Adaptation for Controllable Text-to-Video Generation
2025
Cited
0
Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization
2025
Cited
0
Remotely Seeing Is Believing: How Trust in Cyber-Physical Systems Evolves Through Virtual Observation
2025
Cited
0
Co-authors
5 total
Ronald Fedkiw
Ronald Fedkiw
Professor of Computer Science, Stanford University
Michael Bao
Michael Bao
Stanford University
Jef Caers
Jef Caers
Stanford University, Professor of Earth & Planetary Sciences
Frederic Gibou
Frederic Gibou
Professor of Mechanical Engineering, Computer Science and Mathematics, UCSB
Andrea Bertozzi
Andrea Bertozzi
Prof. of Math. and Mech. & Aero. Eng., Betsy Wood Knapp Chair for Innovation and Creativity, UCLA