Thanks to everyone contributing to our five accepted ICLR papers for the hard work! Great job Mario, Tobias, Qiang, Rachel, Kanishk, Felix, Youssef, Benjamin, Patrick, and Luca 👍 Here’s a quick list, stay tuned for details & code in the upcoming weeks:
- Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks , https://openreview.net/forum?id=uKZdlihDDn
- ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks , https://openreview.net/forum?id=APojAzJQiq
- Progressively Refined Differentiable Physics , https://openreview.net/forum?id=9Fh0z1JmPU
- Truncation Is All You Need: Improved Sampling Of Diffusion Models For Physics-Based Simulations , https://openreview.net/forum?id=0FbzC7B9xI
- Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster , https://openreview.net/forum?id=j3bKnEidtT
