[edit]

Plenary Session

The plenary session is scheduled for Tuesday, April 15th, 2025. We will have a mix of talks and poster presentations. Each talk is up to 35 minutes long, with a 15 to 20-minute presentation and the rest for discussion with attendees.

Schedule

Start End Talk Speaker Institution
09:30 09:40 General Introduction Neil Lawrence University of Cambridge
09:45 10:20 The Current and Future Impact of AI in Life Sciences Diego di Bernardo University of Naples "Federico II"
10:25 11:00 AI By Design in Drug Discovery and Development Tom Diethe AstraZeneca
11:00 11:30 Coffee break and poster session
11:30 12:05 Reparametrization Invariance in Bayesian approximations Søren Hauberg Technical University of Denmark
12:10 12:45 LLMs and the Communication of Non-quantifiable Uncertainty Sylvie Delacroix King's College London
12:50 13:25 (S)elective Access to AI Assistance Umang Bhatt New York University
13:30 14:30 Lunch
14:30 16:30 Social and poster session

Posters

We will feature the following posters, which will on display throughout the session to trigger discussions during the scheduled breaks.

Board Poster Author Institution
TBD MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning Sedjro Salomon Hotegni Technical University of Dortmund
TBD Detecting Behavioral Instabilities from Digital Phenotype Antonio Artés Universidad Carlos III de Madrid
TBD The Importance of Activation Functions and Normalization in Deep Continual Learning Marc Höftmann Technical University of Dortmund
TBD Load Balancing Activations for Continual Learning Jan Robine Technical University of Dortmund
TBD Refining BERT’s Global Context Understanding with Pooling Maike Behrendt Heinrich-Heine-University Düsseldorf
TBD Forest Biomass Estimation from Ground Images Silvia Zuffi IMATI-CNR
TBD Learning Object-Centric Representations from Pre-Trained Vision Models for Multi-Object Image Retrieval Stefan Sylvius Wagner Heinrich Heine University Düsseldorf
TBD Functional Bilevel optimization for machine learning Michael Arbel Inria
Posters format: A0 or A1 with portrait orientation.