Hani Park

Background

About Hani Park

Research interest- Conditional Independence Testing with Medical Imaging (currently focusing on Conditional Randomization-based Tests and Conditional Mutual Information Neural Estimators)- Probabilistic Generative Models for Image Generation (currently focusing on Diffusion Models, Generative Adversarial Networks (GANs), and Normalizing Flows)- Uncertainty Quantification for Deep Learning (e.g, Probabilistic Modeling, Dirichlet Modeling)- Learning Paradigms for Reduced Labeling Effort (e.g, Active learning, Semi-supervised learning)- Sequential Decision-Making (e.g, Reinforcement Learning, Inverse Reinforcement Learning) https://hpi.de/lippert/team/hani-park.html