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ICDE 2025 Conference Contributions
BIFOLD researchers will participate in ICDE 2025, contributing three research papers. One of these papers will receive the Best Paper Award. The conference will be held May 19–23, 2025, in Hong Kong.
Best Paper Award for groundbreaking work on image quality assessment
Researchers from Fraunhofer Heinrich Hertz Institute and BIFOLD have received the prestigious IEEE Signal Processing Society Best Paper Award for their groundbreaking work on image quality assessment using deep neural networks.
News from the BigEarth Group at BIFOLD
BIFOLD’s BigEarth group shares key updates: EGU panel on digital tech, keynote at BEODay, contributions to ESA–NASA AI workshop, and a new ESA feature on the digital assistant for Earth observation data.
Photo recap: BIFOLD DAY 2025
It was an inspiring day filled with AI insights, expert talks, and networking opportunities. We thank all our guests and contributors for making the event a success and look forward to collaborating on the future of AI research together!
Researcher Spotlight: Dr. Niklas Gebauer
Dr. Niklas Gebauer is a former BIFOLD machine learning group researcher specializing in machine learning for quantum chemistry. He received his PhD summa cum laude on the development of models to design new molecules in 2024. At the end of April, he announced his return to BIFOLD to continue his work on AI-driven molecular discovery.
ICLR 2025 Conference Contributions
The BIFOLD research groups Machine Learning and Explainable Machine Learning in Medicine will participate in ICLR 2025, contributing eight papers, one blog article, and one talk. The conference is set for April 24-28, 2025, in Singapore.
IEEE SaTML 2025 Conference Contribution
Dr. Thorsten Eisenhofer will present the paper “Verifiable and Provably Secure Machine Unlearning,” at SaTML 2025. Eisenhofer is Postdoc in the research group “Machine Learning and Security”. His paper introduces a new framework designed to verify that user data has been correctly deleted from machine learning models, supported by cryptographic proofs.
Researcher Spotlight: Lorenz Vaitl
Dr. Lorenz Vaitl defended his PhD in the field of Machine Learning, focusing on optimizing the simulation of quantum fields. His doctoral thesis, "Path Gradient Estimators for Normalizing Flows," explores how machine learning techniques can accelerate data-intensive simulations, which are crucial for understanding fundamental physical phenomena.
New BIFOLD professorship at Charité
Welcome to Grégoire Montavon, who is taking up a BIFOLD-Charité professorship on April 1, 2025. The professorship is one of the several planned BIFOLD professorships at Charité – Universitätsmedizin Berlin, the institutional partner of BIFOLD.
Interpreting Earth with GAIA
Angelos Zavras, PhD candidate at the Harokopio University of Athens, used his short-term research grant from the DAAD to spend time in Berlin as part of the Remote Sensing research group at BIFOLD. Together with Prof. Begüm Demir and her team he developed GAIA.