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cs.GR2025
PhysMorph-GS: Render-Guided Volumetric Morphing with Differentiable Physics
Chang-Yong Song, David Hyde
Differentiable particle-based simulation can produce physically plausible motion, but target-driven volumetric shape morphing remains underconstrained: physics-only mass matching c…
cs.LG2025
Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization
Manish Acharya, David Hyde
The sliced Wasserstein distance (SW) reduces optimal transport on to a sum of one-dimensional projections, and thanks to this efficiency, it is widely used in geomet…
cs.LG2025
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…