We’re excited to launch a Speaker Series in collaboration with European Laboratory for Learning and Intelligent Systems (ELLIS) community, focusing on key topics relevant to our community.
When, How, and Why Do Neural Models Learn Similar Representations? The ELLIS UniReps Speaker Series explores the phenomenon of representational alignment, where different neural models—both biological and artificial—develop similar internal representations when exposed to comparable stimuli. This raises key theoretical and practical questions:
Each monthly session features two talks:
You can nominate yourself or another researcher as a speaker by filling out our nomination form .
The series provides a platform for early-career researchers to share their work and fosters interdisciplinary discussions across deep learning, neuroscience, cognitive science, and mathematics.
Stay tuned: we’ll be sharing more details soon, including the first scheduled talks, here and across our social media channels, as well as on ELLIS platforms.