31 citations · 70 across the 8 of their papers we have counts for
9 papers
Differentiable Analog Quantum Computing for Optimization and Control
Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao +2
We formulate the first differentiable analog quantum computing framework with a specific parameterization design at the analog signal (pulse) level to better exploit near-term quan…
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos
Yi-Ling Qiao, Alexander Gao, Ming C. Lin
We present a method for learning 3D geometry and physics parameters of a dynamic scene from only a monocular RGB video input. To decouple the learning of underlying scene geometry…
Differentiable Hybrid Traffic Simulation
Sanghyun Son, Yi-Ling Qiao, Jason Sewall +1
We introduce a novel differentiable hybrid traffic simulator, which simulates traffic using a hybrid model of both macroscopic and microscopic models and can be directly integrated…
Differentiable Simulation of Soft Multi-body Systems
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun +1
We present a method for differentiable simulation of soft articulated bodies. Our work enables the integration of differentiable physical dynamics into gradient-based pipelines. We…
Efficient Differentiable Simulation of Articulated Bodies
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun +1
We present a method for efficient differentiable simulation of articulated bodies. This enables integration of articulated body dynamics into deep learning frameworks, and gradient…
Scalable Differentiable Physics for Learning and Control
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun +1
Differentiable physics is a powerful approach to learning and control problems that involve physical objects and environments. While notable progress has been made, the capabilitie…