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

We are more than happy to welcome Kajaree Das as a new PhD student in the OWL-ML lab. Kajaree has previously completed a master’s degree in computer science at University of Bonn and has worked as a Software Developer in the industry before joining us… Read More »Kajaree Das has joined as a PhD student

We are more than happy to welcome Malte Schwerin as a new PhD student in the OWL-ML lab. Malte Schwerin has previously completed a master’s degree in computer science at RWTH Aachen. For his master’s thesis, he visited UBC in Vancouver for four months, working… Read More »Malte Schwerin has joined as a PhD Student

We are hiring two fully-funded PhD students to build up the new OWL-ML lab at the University of Bremen. The deadline for applications is December 10th, 2024. Exact applications instructions can be found here. The positions are not tied to a specific project and have… Read More »Hiring 2 fully-funded PhD Students – Deadline Dec. 10

We are delighted to announce that Martin Mundt has accepted the position of full professor for Lifelong Machine Learning at the University of Bremen. Consequently, the lab will relocate to form the Open World Lifelong Machine Learning (OWL-ML) group in Bremen from January 2025. The… Read More »OWL-ML is moving to the University of Bremen

In addition to our call for papers at our third bridge on Continual Causality at AAAI-25 we are launching the Continual Confounding: ConCon Challenge! In the ConCon challenge participants can submit contributions to solve one of two (or both) challenging scenarios surrounding the newly found… Read More »We are launching the ConCon Challenge at the Continual Causality Bridge!

we are happy to co-organize the third edition of the Continual Causality bridge at AAAI-25! Continual Causality is a full two-day event (25+26th of February 2025 at AAAI-25 in Philadelphia, USA): a “bridge” with the aim of bringing together the research fields of continual learning and causality. Beyond scientific advance, one primary goal is to… Read More »The Continual Causality Bridge is back for round 3

Our paper “Distribution-Aware Replay for Continual MRI Segmentation” got accepted the Workshop Personalized Incremental Learning in Medicine at MICCAI 2024, with proceedings to be published in Lecture Notes in Computer Science (LNCS), Springer. In the paper, we demonstrate that a small generative model (a variational… Read More »”Distribution-Aware Replay for Continual MRI Segmentation” accepted at PILM-MICCAI 2024

We are very honored and grateful that our paper “Deep Classifier Mimicry without Data Access” has received an Outstanding Student Paper Highlight award at AISTATS 2024. In the paper, we introduce a method to distill a deep classifiers knowledge without making assumptions on model structure… Read More »We received the AISTATS 2024 outstanding student paper highlight