Nicki Skafte Detlefsen

Phone55227
Emailnsdedtudk
Websitehttp://www.compute.dtu.dk

Richard Petersens Plads, 321, 206
2800 Kgs. Lyngby
Denmark

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5 Article in proceedings
1 Ph.D. thesis
1 Journal article

Laplacian Autoencoders for Learning Stochastic Representations
Miani, M., Warburg, F., Moreno-Muñoz, P., Detlefsen, N. S. & Hauberg, S., 2022, Proceedings of 36^th Conference on Neural Information Processing Systems. 27 p.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
4 Downloads (Pure)
Learning meaningful representations of protein sequences
Detlefsen, N. S., Hauberg, S. & Boomsma, W., Dec 2022, In: Nature Communications. 13, 1, 12 p., 1914.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
27 Downloads (Pure)
Learning invariant representations from prior knowledge in Deep Learning
Detlefsen, N. S., 2020, Technical University of Denmark. 156 p.
Research output: Book/Report › Ph.D. thesis

Open Access
File
84 Downloads (Pure)
Diffeomorphic Temporal Alignment Nets
Weber, R. S., Eyal, M., Detlefsen, N. S., Shriki, O. & Freifeld, O., 2019, Advances in Neural Information Processing Systems 32 . Neural Information Processing Systems Foundation, 12 p. 8884. (Advances in Neural Information Processing Systems, Vol. 32).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
138 Downloads (Pure)
Explicit Disentanglement of Appearance and Perspective in Generative Models
Detlefsen, N. S. & Hauberg, S., 2019, Proceedings of 33^rd Conference on Neural Information Processing Systems. 19 p.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
68 Downloads (Pure)

1 Finished

Deep Metric Learning
Detlefsen, N. S., Hauberg, S., Winther, O., Alstrøm, T. S., Ferkinghoff-Borg, J. & Rainforth, T.
Fonde
01/09/2017 → 14/04/2021
Project: PhD

Nicki Skafte Detlefsen

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Publications

Laplacian Autoencoders for Learning Stochastic Representations

Learning meaningful representations of protein sequences

Learning invariant representations from prior knowledge in Deep Learning

Diffeomorphic Temporal Alignment Nets

Explicit Disentanglement of Appearance and Perspective in Generative Models

Projects

Deep Metric Learning