Efficient numerical solvers for partial differential equations empower
s...
We propose a hybrid neural network (NN) and PDE approach for learning
ge...
In this work, we aim to learn dexterous manipulation of deformable objec...
Fluidic devices are crucial components in many industrial applications
i...
This work considers identifying parameters characterizing a physical sys...
Differentiable physics has recently been shown as a powerful tool for so...
In this work, we propose a unified framework, called Visual Reasoning wi...
The high dimensionality of soft mechanisms and the complex physics of
fl...
Cloth simulation has wide applications in computer animation, garment de...
Simulated virtual environments serve as one of the main driving forces b...
The computational design of soft underwater swimmers is challenging beca...
We present a novel, fast differentiable simulator for soft-body learning...
Tasks in multi-task learning often correlate, conflict, or even compete ...
This paper considers the problem of self-driving algorithm based on deep...