Research Scientist at Google DeepMind; Leveraging Symmetries & Invariances in Deep Learning - FabianFuchsML.
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07.11.2020 · Hi Fabian, When I use se3-transformer for my dataset. I find it seems quite difficult for the model to fit the training data.
Vectors transforming according to Dl (i.e. we set Q = I), are called type-l vectors. Type-0 vectors are invariant under rotations and type-1 vectors rotate ...
2Banco de Espa˜na. Page 2. The double descent ... DKL(Q∥M). M = 1. 2. (P + Q). • Given G, maxD V (G, D) ... https://fabianfuchsml.github.io/learningonsets/. 2 ...
• Code available at https://github.com/FabianFuchsML/se3-transformer-public. 2 Background And Related Work. In this section we introduce the relevant ...
22.06.2020 · We introduce the SE(3)-Transformer, a variant of the self-attention module for 3D point clouds, which is equivariant}under continuous 3D ...
PhD student at Department of Quantitative Biomedicine, UZH.
[PDF] Protein Structure and Function Prediction by Deep Learning
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Predicting the structure and function of proteins from their amino acid sequence is one of the complex challenges faced in the study of bioinformatics in ...
Research Scientist at DeepMind. Interested in invariant and equivariant neural nets and applications to the natural sciences.
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