We are very honored that the work “Making a Name for Myself: On Academic Naming Policies and their Impact“, which was co-authored with multiple Queer in AI scholars, has received a Best Paper Honorable Mention at the ACM Conference on Fairness, Accountability, and Transparency (FaccT… Read More »Making a Name for Myself: On Academic Naming Policies and their Impact has received a Best Paper Honorable Mention at FAccT 2026

We are happy to welcome Zwe Nyan Zaw and Pongsakorn Arayasak to the lab as undergraduate research summer interns from mid May to end of July. Zwe and Pongsakorn were both successful in a competitive application to follow in the footsteps of many students through… Read More »We welcome Zwe Nyan Zaw & Pongsakorn Arayasak for a summer internship

We are more than happy to welcome Gabriel Storch as a new PhD student in the OWL-ML lab. Gabriel has previously completed an international M.Sc. in Data Science at the Hamburg University of Technology and will now be pursuing his PhD within the DFG Research… Read More »Gabriel Storch has joined as a PhD Student

In October 25, we had the pleasure to co-organize the Schloss Dagstuhl – Leibniz-Zentrum für Informatik (LZI) seminar on “Deep Continual Learning in the Foundation Model Era” with Joost van de Weijer (University of Barcelona), Tinne Tuytelaars (KU Leuven), and Christopher Kanan (University of Rochester),… Read More »Modular Memory is the Key to Continual Learning Agents got accepted as a spotlight position paper at ICML 2026

We are excited to announce that the DFG Research Training Group (RTG) KD²School will receive funding for another five years.  In this RTG, KIT is collaborating with the Universities of Bremen and of Oldenburg to research the design of biosignal-adaptive systems for decision-making processes in economic contexts as well as… Read More »DFG Research Training Group KD2School – 2nd Funding Period approved

We are happy to welcome Joana Vale Sousa for a PhD internship in the lab, supported by the Erasmus program. Joana is a PhD candidate at INESC TEC Porto, Portugal, and will be staying at OWL-ML in Bremen for 6 months until the end of… Read More »We welcome Joana Vale Sousa for a PhD internship

Our paper “Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories” has been accepted for publication at the 29th International Conference on Artificial Intelligence and Statistics: AISTATS 2026. It will be presented at the conference in early May in Tangier, Morocco. In the… Read More »Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories got accepted at AISTATS 2026

The German Cluster of Excellence on “Reasonable Artificial Intelligence” (RAI) is now looking for PhD candidates to give rise to richer, more robust AI systems that inherently possess the abilities to think, learn, interact, and adapt. The cluster is structured across four labs – each… Read More »Excellence Cluster “Reasonable AI” is hiring PhD students (deadline 16.11.25)

Our paper “Aligning generalization between humans and machines” is now published at Nature Machine Intelligence! This paper has been co-authored with 25 experts in AI and cognitive science and is a product of the Dagstuhl seminar on “Generalization by People and Machines” in May 2024.… Read More »“Aligning Generalization Between Humans and Machines” has been published at Nature Machine Intelligence

Our paper “Core Tokensets for Data-efficient Sequential Training of Transformers” has been accepted for publication in the ICCV-W proceedings in context of the Workshop on Continual Learning for Computer Vision. The paper will be presented at the Workshop in October at ICCV in Hawaii. In… Read More »“Core Tokensets for Data-efficient Sequential Training of Transformers” has been accepted to the ICCV Workshop on Continual Learning in Computer Vision