Unifying Representations in Neural Models

Unifying Representations in Neural Models

Unifying Representations in Neural Models

We’re excited to announce that we’re organizing the 4th edition of UniReps as a satellite event in Paris and would love your help in choosing the best date for the community. Your feedback will ensure...

Architectural diversity shapes learning in both biological and artificial systems, influencing how features are represented and generalized. Motivated by parallels between brain circuitry and...

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Unifying Representations in Neural Models

Recurrent neural networks (RNNs) are powerful models used widely in both machine learning and neuroscience to learn tasks with temporal dependencies and to model neural dynamics. However, despite...

Hi all! We’re excited to launch the UniReps meetup in collaboration with UCL NeuroAi. This meetup builds on the success of the Unireps workshop at NeurIPS 2023-2024, continuing the exploration of un...

In physics, complex systems are often simplified into minimal, solvable models that retain only the core principles. In machine learning, layerwise linear models (e.g., linear neural networks) act as ...

This evening exhibition features artefacts from the programme's workshops, multimedia artworks from UCL researchers, and forum discussions

Hi all! We’re excited to launch the UniReps meetup in collaboration with UCL NeuroAi. This meetup builds on the success of the Unireps workshop at NeurIPS 2023-2024, continuing the exploration of un...

Studies that touch on LGBT+ health, gender identity and DEI in the biomedical workforce could be terminated, according to documents obtained by Nature.

Hi all! We’re excited to launch the UniReps Speaker Series in collaboration with European Laboratory for Learning and Intelligent Systems (ELLIS) community, focusing on topics including: Model mergin...