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
We are happy to welcome Andrea Fanti for a PhD internship in the lab. Andrea is a third year PhD candidate in the KRL research group at Sapienza Università di Roma, Italy, and will be staying at OWL-ML in Bremen for 6 months until the… Read More »We welcome Andrea Fanti for a PhD internship
We are happy to welcome Tanadhon Dumnernpun to the lab as an undergraduate research summer intern from mid May to end of July. Tanadhon was successful in receiving a competitive scholarship through the Erasmus+ program and follows in the footsteps of many students through the… Read More »We welcome Tanadhon Dumnernpun for a summer internship
We are very happy and proud to be part of the team within the newly funded cluster of excellence “RAI: Reasonable Artificial Intelligence”! RAI has succeeded in a prestigious and highly competitive process through the Excellence Strategy of the German federal and state governments. The… Read More »We are proud to be part of the cluster of excellence “Reasonable AI” – headed by TU Darmstadt
Our work “BOWL: A Deceptively Simple Open World Learner” has just been accepted at the Fourth Conference on Lifelong Learning Agents (CoLLAs 2025). Congratulations to our PhD student Roshni Kamath, not only for this acceptance, but also for getting two papers accepted in sequence, following… Read More »Our paper “BOWL: A Deceptively Simple Open World Learner” got accepted at CoLLAs 2025
