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20242026
most citedLearning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction

1 citations · 1 across the 12 of their papers we have counts for

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9 papers · 1 filter

cs.LG2026

Scaling Online Optimal Transport Minibatches for Flow Matching

Peter Chen, Sergey Levine

A central challenge in scaling flow models is maintaining stability in training and integration. In flow matching, this stability depends critically on how source samples are paire…

cs.RO2026

BoxTwin: Learning Elastoplastic Articulated Object Dynamics from Videos

Heng Zhang, Gehan Zheng, Kaifeng Zhang +6

Digital twins enable robots to anticipate and adapt to physical interactions, but existing models struggle with elastoplastic articulated objects (EAOs) that exhibit nonlinear elas…

cs.CV2026

MeGAS: Thermomechanical Dynamic Gaussian Splatting for Thermophysical Scene Editing

Zesong Yang, Yuanhang Lei, Liyuan Cui +6

Recent advances integrate physically grounded Newtonian dynamics with neural rendering frameworks, narrowing the gap between photorealistic scene reconstruction and physics-based a…

cs.GR2026

PINNsur: Physics-Informed Neural Networks for PDEs on Curved Surfaces

Pranav Jain, Navami Kairanda, Peter Yichen Chen +1

Partial differential equations (PDEs) on surfaces are fundamental to scientific computing and geometry processing. A popular approach to solving PDEs on surfaces is the finite elem…

cs.LG2026

EUPHORIA: Efficient Universal Planning via Hybrid Optimization for Robust Industrial Robotic Assembly

Shih-Yu Lai, Chia-Ching Yen, Yang-Ting Shen +3

Robotic assembly in architectural construction faces a persistent bottleneck: existing planners are either highly specialized, requiring prohibitive retraining for every new geomet…

cs.GR2026

DiffPhD: A Unified Differentiable Solver for Projective Heterogeneous Materials in Elastodynamics with Contact-Rich GPU-Acceleration

Shih-Yu Lai, Sung-Han Tien, Jui-I Huang +9

Differentiable simulation of soft bodies is a foundation for system identification, trajectory optimization, and Real2Sim transfer. Yet, existing methods such as the differentiable…

cs.GR2026

Closing Trajectories: Equation-Free Cyclic Animation via Koopman Surrogates

Shixun Huang, Siyuan Chen, Yue Chang +2

Cyclic animation is widely used in computer graphics and interactive content.It supports seamless playback in games, VR, and interactive simulation,where short clips must repeat sm…

cs.GR2026

PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning

Yuanhang Lei, Tao Cheng, Xingxuan Li +6

Achieving real-time physics-based animation that generalizes across diverse 3D shapes and discretizations remains a fundamental challenge. We introduce PhysSkin, a physics-informed…

cs.GR2026

Low-Rank Koopman Deformables with Log-Linear Time Integration

Yue Chang, Peter Yichen Chen, Eitan Grinspun +1

We present a low-rank Koopman operator formulation for accelerating deformable subspace simulation. Using a Dynamic Mode Decomposition (DMD) parameterization of the Koopman operato…