Nicki Skafte Detlefsen

12 papers A* 5Journal 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring different approaches to customize language models for domain-specific text-to-code generation. CoRR Luís Freire, Fernanda A. Andaló, Nicki Skafte Detlefsen
2022	J	`jnl`	Is an encoder within reach? CoRR Helene Hauschultz, Rasmus Berg Palm, Pablo Moreno-Muños, Nicki Skafte Detlefsen, Andrew Allan du Plessis, Søren Hauberg
2022	A*	`conf`	Laplacian Autoencoders for Learning Stochastic Representations. NeurIPS Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg
2022	J	`jnl`	Laplacian Autoencoders for Learning Stochastic Representations. CoRR Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg
2022	J	`jnl`	TorchMetrics - Measuring Reproducibility in PyTorch. J. Open Source Softw. Nicki Skafte Detlefsen, Jirí Borovec, Justus Schock, Ananya Harsh Jha, Teddy Koker, Luca Di Liello, Daniel Stancl, Changsheng Quan, Maxim Grechkin, William Falcon
2020	J	`jnl`	What is a meaningful representation of protein sequences? CoRR Nicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma
2019	A*	`conf`	Diffeomorphic Temporal Alignment Nets. NeurIPS Ron Shapira Weber, Matan Eyal, Nicki Skafte Detlefsen, Oren Shriki, Oren Freifeld
2019	A*	`conf`	Explicit Disentanglement of Appearance and Perspective in Generative Models. NeurIPS Nicki Skafte Detlefsen, Søren Hauberg
2019	J	`jnl`	Explicit Disentanglement of Appearance and Perspective in Generative Models. CoRR Nicki Skafte Detlefsen, Søren Hauberg
2019	A*	`conf`	Reliable training and estimation of variance networks. NeurIPS Nicki Skafte Detlefsen, Martin Jørgensen, Søren Hauberg
2019	J	`jnl`	Reliable training and estimation of variance networks. CoRR Nicki Skafte Detlefsen, Martin Jørgensen, Søren Hauberg
2018	A*	`conf`	Deep Diffeomorphic Transformer Networks. CVPR Nicki Skafte Detlefsen, Oren Freifeld, Søren Hauberg