3 citations · 3 across the 3 of their papers we have counts for
4 papers
SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control
Yuxuan Mu, Ziyu Zhang, Yi Shi +9
Data-driven motion priors that can guide agents toward producing naturalistic behaviors play a pivotal role in creating life-like virtual characters. Adversarial imitation learning…
Physics-Based Motion Imitation with Adversarial Differential Discriminators
Ziyu Zhang, Sergey Bashkirov, Dun Yang +3
Multi-objective optimization problems, which require the simultaneous optimization of multiple objectives, are prevalent across numerous applications. Existing multi-objective opti…
Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials
Robert J. Appleton, Daniel Klinger, Brian H. Lee +6
Data science and artificial intelligence are playing an increasingly important role in the physical sciences. Unfortunately, in the field of energetic materials data scarcity limit…
Neural Isometries: Taming Transformations for Equivariant ML
Thomas W. Mitchel, Michael Taylor, Vincent Sitzmann
Real-world geometry and 3D vision tasks are replete with challenging symmetries that defy tractable analytical expression. In this paper, we introduce Neural Isometries, an autoenc…