EVENTS

January 13, 2026 | Technische Universität Berlin, Room C130, Institut für Chemie, Str. des 17. Juni 115, 10623 Berlin

BLISS Speaker Series #28 -Test-Time Training Agents for Deep Exploration -

BLISS is excited to feature Jonas Hübotter, who is currently a PhD student at ETH Zürich and will discuss "Test-Time Training Agents for Deep Exploration", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. 

Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.

January 15, 2026 | Technische Universität Berlin, EN 148, Einsteinufer 17, 10587 Berlin

BIFOLD Colloquium 01/2026

Neurology has traditionally relied on clinical examinations and diagnostic tests, which are usually limited to clinic visits and short observation periods. However, the advent of new sensor and wearable technologies, as well as digital monitoring and advanced data analytics, is opening up the possibility of fundamentally transforming neurology.

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*Data collected from 2020 onwards.

PUBLICATIONS

Khaled Kahouli, Romuald Elie, Klaus-Robert Müller, Quentin Berthet, Oliver T. Unke, Arnaud Doucet

Control Variate Score Matching for Diffusion Models

December 23, 2026
https://doi.org/10.48550/arXiv.2512.20003

Julius Keyl, René Hosch, Fabian Hörst, Philipp Keyl, Amin Dada, Johannes Haubold, Jannis Straus, Jan Egger, Arndt Stahler, Annika Kurreck et al.

Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer

January 05, 2026
https://doi.org/10.1158/1078-0432.CCR-25-3080

Qianli Wang, Van Bach Nguyen, Yihong Liu, Fedor Splitt, Nils Feldhus, Christin Seifert, Hinrich Schütze, Sebastian Möller, Vera Schmitt

Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation

January 01, 2026
https://doi.org/10.48550/arXiv.2601.00263

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.

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