Dorian Staudt

Doctoral Student at Signal Processing and Biomedical Engineering

Dorian Staudt is a PhD student in the research group Computer vision and medical image analysis, focusing their research on energy-based models.
Dorian is 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).

Source: chalmers.se

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Publications (2)
Projects (0)

Showing 2 publications

2023

Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons

Rasmus Kjær Høier, Dorian Staudt, Christopher Zach

Proceedings of Machine Learning Research. Vol. 202, p. 13141-13156

Paper in proceeding

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2022

Effortless Training of Joint Energy-Based Models with Sliced Score Matching

Xixi Liu, Dorian Staudt, Che-Tsung Lin et al

Proceedings - International Conference on Pattern Recognition, p. 2643-2649

Paper in proceeding

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