NEWS
SIGMOD/PODS 2026 Conference Contributions
At the 2026 ACM SIGMOD/PODS Conference, held in Bengaluru, India, from May 31 to June 5, 2026, BIFOLD researchers will present two papers and receive two prestigious individual awards.
How the Brain Detects Relevance — and How AI Learns from It
The human brain’s ability to filter relevant information from the vast amount of data it continuously receives is known as attention. Researchers at BIFOLD at the Technical University of Berlin, in close collaboration with scientists from the Kording Lab at the University of Pennsylvania, have developed a new brain-inspired AI model of visual attention.
EVENTS
The EU AI Act in Practice: How is the Implementation Going?
“Don’t ask what the AI Act can do for you, ask what you can do for the AI Act.” This talk offers a short introduction to the Artificial Intelligence Act (AI Act), outlining its core objectives, risk-based structure, and fundamental rights safeguards.
Leibnizpreis-Lecture
Join us for the Leibnizpreis-Lecture with Prof. Dr. Klaus-Robert Müller, 2026 Leibniz Prize laureate and Co-director of BIFOLD, who will share insights from his groundbreaking research in machine learning and explainable AI.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Jakob Paul Zimmermann, Jim Berend, Georg Loho, Sebastian Lapuschkin, Wojciech Samek
Playing the network backward: A Game Theoretic Attribution Framework
Philip Naumann, Jacob Kauffmann, Klaus-Robert Müller, Grégoire Montavon
Reliable Modeling of Distribution Shifts via Displacement-Reshaped Optimal Transport
Nikolai Merkel, Ruben Mayer, Volker Markl, Hans-Arno Jacobsen
EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
GRADUATE SCHOOL
Based on a highly competitive application process, the BIFOLD Graduate School offers an innovative fast-track PhD Program for students holding a bachelor’s degree, as well as a PhD Program for students with a master’s degree.