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

Our work “Scaling Probabilistic Circuits via Data Partitioning” has just been accepted at the 41st Conference on Uncertainty in Artificial Intelligence Conference (UAI). Congratulations to first-author Jonas Seng and all co-authors! In the paper we provide a unified framework for federated learning across different settings… Read More »Our paper “Scaling Probabilistic Circuits via Data Partitioning” got accepted at UAI 2025

Our paper “Where is the Truth? The Risk of Getting Confounded in a Continual World” got accepted at the International Conference on Machine Learning (ICML) 2025 and was selected as a poster spotlight (given to the top 2.6% of all submissions). Big congratulations to shared… Read More »Our paper “Where is the Truth? The Risk of Getting Confounded in a Continual World” got accepted as a spotlight at ICML 2025