Solving Forward and Inverse Problems using Controlled Hamiltonian Flow-Based Generative Models (via Transformer Neural Processes). Followed by Thanksgiving lunch. Time: 10:30 AM - 12 PM.
Towards Efficient Rank-Ordered Search-and-Score of Digital Tumor Scans with Multi-Agent RL
Kernel Methods for Multi-Output Vector
Maximum Pontryagin Principle, Optimal Control of Dynamic Systems / Reinforcement Learning
Camera Image Signal Processing (ISP)
Probabilistic Inference for Fast Learning in Optimal Control
Multivariate Gaussian Processes and Noisy Regression
