Dorian Staudt
Dorian Staudt is a PhD student in the research group Computer vision and medical image analysis, focusing their research on energy-based models.
They are involved in a project investigating the connections between energy-based models and deep learning to further the understanding and interpretations of, e.g., deep neural networks.
This project is funded by the Chalmers AI Research Centre (CHAIR).
Showing 2 publications
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
Effortless Training of Joint Energy-Based Models with Sliced Score Matching
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