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About me

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Fabian Fuchs

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About me Toggle navigation Fabian Fuchs Blog Sets and Graphs Equilibrium Aggregation Iterative Equivariance AlphaFold 2 Noether's Theorem Equivariance 2/2 Equivariance 1/2 Learning on Sets Deep Sets & Universality Gumbel Softmax Relational Reasoning Dataset Research Publications Full List of Papers SE(3) Transformers Multi-Object Tracking Permutation Invariance Neural Stethoscopes About Me CV About me Fabian Fuchs I am a Research Scientist at DeepMind and part of their Science team. I did my PhD at the Applied AI lab ( A2I ), supervised by Professor Ingmar Posner. Other recent adventures include a research sabbatical in 2020 at the BCAI collaborating with Max Welling’s lab at the University of Amsterdam and an internship at DeepMind supervised by Adam Santorro in 2021. My PhD topic was learning invariant and equivariant representations , which remains a keen interest of mine. Simply put: whereas most of deep learning is concern...

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