Paper

• Downscaling Numerical Weather Models with GANs
• Physics-informed machine learning: case studies for weather and climate modeling
• Generalization Properties of Machine Learning Based Weather Model Downscaling
• A reinforcement learning environment for mathematical reasoning via program synthesis

• Detecting spiky corruption in Markov decision processes

• Numerical Weather Model Super-Resolution

Talks

• Infinitely large numbers that act like they’re finite
• Closed curves are polygons, really: elementary proof of the Jordan curve theorem
• Geometric algebra as a unifying abstraction of motion