Qi Sun

with Anderson · 2019

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Qi Sun's perspective

Ordered by how strongly the researchers Qi Sun trusts endorse each paper. Same corpus, a different order for every researcher.

1. Automatic differentiation in PyTorch
2. Interaction Networks for Learning about Objects, Relations and Physics
3. A Compositional Object-Based Approach to Learning Physical Dynamics
4. TensorFlow: A system for large-scale machine learning
5. Neural 3D Mesh Renderer
6. Flexible Neural Representation for Physics Prediction
7. OpenDR: An Approximate Differentiable Renderer
8. The Tapenade automatic differentiation tool: Principles, model, and specification (TOMS)
9. Stable fluids
10. ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics (IEEE International Conference on Robotics and Automation)

Their papers

• DiffTaichi: Differentiable Programming for Physical Simulation (2019) — 516 citations