NEWS
BIFOLD participated in SIGIR 2026
Researchers from BIFOLD and the University of Amsterdam presented ERASE, a new real-world-aligned benchmark for machine unlearning in recommender systems, at the 49th ACM SIGIR Conference in Melbourne, Australia, in 2026.
Cedalion
A community-built, open-source Python toolbox that unifies established and cutting-edge fNIRS/DOT brain-imaging analysis — and connects it to the world of machine learning and data science.
EVENTS
BIFOLD Talk
Sebastian Breß (Snowflake) and Jan Vincent Szlang (University of Cambridge) present Prod-DS, an extension of TPC-DS, grounded in recent production evidence, that allows scaling query complexity through configurable stressors on the existing schema and tooling.
Cedalion Workshop
This scientific workshop introduces researchers to Cedalion, a Python-based toolbox for advanced fNIRS and DOT analysis in naturalistic settings. Built on HOMER3 and AtlasViewer, it integrates machine learning and multimodal data processing for cutting-edge neuroimaging research.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Gereon Dusella, Haralampos Gavriilidis, Volker Markl, Eleni Tzirita Zacharatou
Benchmarking Spatial Operations over Heterogeneous Data: The Case of Zonal Statistics
Yanqing Luo, Julius Hense, Niklas Prenißl, Andreas Mock, Klaus-Robert Müller, Thomas Schnake, Mina Jamshidi Idaji
Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
Marco Morik, Xiao Ruiting, Shinichi Nakajima, Stefan Haufe, Ismail Huseynov
Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
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.