Deep Diffeomorphic Transformer Networks. - Nicki Skafte Detlefsen; Oren Freifeld; Søren Hauberg (CVPR, 2018)

Explicit Disentanglement of Appearance and Perspective in Generative Models. - Nicki Skafte Detlefsen; Søren Hauberg (NeurIPS, 2019)

Reliable training and estimation of variance networks. - Nicki Skafte Detlefsen; Martin Jørgensen; Søren Hauberg (NeurIPS, 2019)

Diffeomorphic Temporal Alignment Nets. - Ron Shapira Weber; Matan Eyal; Nicki Skafte Detlefsen; Oren Shriki; Oren Freifeld (NeurIPS, 2019)

What is a meaningful representation of protein sequences? - Nicki Skafte Detlefsen; Søren Hauberg; Wouter Boomsma (CoRR, 2020)

Laplacian Autoencoders for Learning Stochastic Representations. - Marco Miani; Frederik Warburg; Pablo Moreno-Muñoz; Nicki Skafte Detlefsen; Søren Hauberg (NeurIPS, 2022)

Is an encoder within reach? - Helene Hauschultz; Rasmus Berg Palm; Pablo Moreno-Muños; Nicki Skafte Detlefsen; Andrew Allan du Plessis; Søren Hauberg (CoRR, 2022)

TorchMetrics - Measuring Reproducibility in PyTorch. - Nicki Skafte Detlefsen; Jirí Borovec; Justus Schock; Ananya Harsh Jha; Teddy Koker; Luca Di Liello; Daniel Stancl; Changsheng Quan; Maxim Grechkin; William Falcon (J. Open Source Softw., 2022)