Marco Morik
Marco Morik
Doctoral Researcher
Marco Morik is a PhD Student in the Machine Learning Group at Technische Universität Berlin working on Uncertainty Estimation and Generative Models for Inverse Problems. He received his master degree in Computer Science from TU Berlin in 2019 with a focus on discrete optimization and Machine Learning. Since 2022 he is working in the Research Group Probabilistic Modeling and Inference with Dr. Shinichi Nakajima.
Best Paper Award SIGIR 2020
- Deep Generative Models
- Probabilistic Models
- Uncertainty Estimation
- Inverse Problems
Lorenz Linhardt, Marco Morik, Sidney Bender, Naima Elosegui Borras
AN ANALYSIS OF HUMAN ALIGNMENT OF LATENT DIFFUSION MODELS
BIFOLD researchers present three papers at ICLR 2024
The International Conference on Learning Representations (ICLR) is a Core-A gathering of experts who are dedicated to advancing a branch of artificial intelligence known as representation learning, which is also called deep learning.