The Harmeling Lab deals with various aspects of artificial intelligence (AI). In particular, we are interested in (i) machine learning and deep learning, (ii) reinforcement learning, (iii) causality, and (iv) applications. We offer lectures and seminars on all these topics, which enable students to learn solid basics and the latest developments in AI. Our research is both method- and application-oriented, i.e., we conduct original research that develops new methods and also applies established approaches to real-world problems, especially from scientific and medical fields.
ICLR 2023: One paper accepted!
Our paper "Transformer-based World Models Are Happy With 100k Interactions" has been accepted to ICLR 2023!
First place at the HTC 2022!
Our team won the Helsinki Tomography Challenge 2022 presented by the Finnish Inverse Problems Society.
TMLR: One paper accepted!
Our paper "Optimizing Intermediate Representations of Generative Models for Phase Retrieval" has been accepted to the journal TMLR!
NeurIPS 2022 Deep RL workshop: Three papers accepted!
Three of our papers were accepted at the NeurIPS 2022 Deep Reinforcement Learning Workshop!