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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 30 minutes long, with a 15 to 20-minute presentation and the rest for discussion with attendees.

Schedule

Start End Talk Speaker Institution
09:30 09:35 General Introduction Neil Lawrence University of Cambridge
09:35 10:05 The Current and Future Impact of AI in Life Sciences Diego di Bernardo University of Naples "Federico II"
10:05 10:35 AI By Design in Drug Discovery and Development Tom Diethe AstraZeneca
10:35 11:05 Reparametrization Invariance in Bayesian approximations Søren Hauberg Technical University of Denmark
11:05 11:30 Coffee break and poster session
11:30 12:00 LLMs and the Communication of Non-quantifiable Uncertainty Sylvie Delacroix King's College London
12:00 12:30 (S)elective Access to AI Assistance Umang Bhatt New York University
12:30 13:00 Fireside chat - Past, Present and Future of AI from a Google DeepMind perspective Zoubin Ghahramani Google DeepMind
13:30 14:30 Lunch
14:30 16:30 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
1 MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning Sedjro Salomon Hotegni Technical University of Dortmund
2 Detecting Behavioral Instabilities from Digital Phenotype Antonio Artés Universidad Carlos III de Madrid
3 The Importance of Activation Functions and Normalization in Deep Continual Learning Marc Höftmann Technical University of Dortmund
4 Load Balancing Activations for Continual Learning Jan Robine Technical University of Dortmund
5 Refining BERT’s Global Context Understanding with Pooling Maike Behrendt Heinrich-Heine-University Düsseldorf
6 Forest Biomass Estimation from Ground Images Silvia Zuffi IMATI-CNR
7 Learning Object-Centric Representations from Pre-Trained Vision Models for Multi-Object Image Retrieval Stefan Sylvius Wagner Heinrich Heine University Düsseldorf
8 Functional Bilevel optimization for machine learning Michael Arbel Inria
Posters format: A0 or A1 with portrait orientation.