Daniel J. Trosten

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Feature Extraction

Objective Function

Variable Length

Unsupervised Manner

Top Venues

Pattern Recognit.

Publications

Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Leveraging tensor kernels to reduce objective function mismatch in deep clustering. Pattern Recognit. 149 (2024)
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
RELAX: Representation Learning Explainability. Int. J. Comput. Vis. 131 (6) (2023)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CoRR (2023)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CVPR (2023)
Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings. CoRR (2023)
Daniel J. Trosten
Questionable Practices in Methodological Deep Learning Research. NLDL (2023)
Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings. CVPR (2023)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Reconsidering Representation Alignment for Multi-View Clustering. CVPR (2021)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Reconsidering Representation Alignment for Multi-view Clustering. CoRR (2021)
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
RELAX: Representation Learning Explainability. CoRR (2021)
Daniel J. Trosten, Robert Jenssen, Michael C. Kampffmeyer
Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. NLDL (2021)
Daniel J. Trosten, Michael C. Kampffmeyer, Robert Jenssen
Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives. CoRR (2020)
Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen
Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. ICASSP (2019)
Daniel J. Trosten, Puneet Sharma
Unsupervised Feature Extraction - A CNN-Based Approach. SCIA (2019)
Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen
Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series. CoRR (2018)