Is an encoder within reach?

1 code implementation • 3 Jun 2022 • Helene Hauschultz, Rasmus Berg Palm. Pablo Moreno-Muños, Nicki Skafte Detlefsen, Andrew Allan du Plessis, Søren Hauberg

The encoder network of an autoencoder is an approximation of the nearest point projection onto the manifold spanned by the decoder.

What is a meaningful representation of protein sequences?

1 code implementation • 28 Nov 2020 • Nicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma

How we choose to represent our data has a fundamental impact on our ability to subsequently extract information from them.

BIG-bench Machine Learning Transfer Learning

Explicit Disentanglement of Appearance and Perspective in Generative Models

1 code implementation • NeurIPS 2019 • Nicki Skafte Detlefsen, Søren Hauberg

Disentangled representation learning finds compact, independent and easy-to-interpret factors of the data.

Disentanglement Inductive Bias

Deep Diffeomorphic Transformer Networks

1 code implementation • CVPR 2018 • Nicki Skafte Detlefsen, Oren Freifeld, Søren Hauberg

Spatial Transformer layers allow neural networks, at least in principle, to be invariant to large spatial transformations in image data.