5 papers · 1 filter
NOFE - Neural Operator Function Embedding
Lars Uebbing, Harald L. Joakimsen, Siyan Chen +6
Most dimensionality reduction methods treat data as discrete point clouds, ignoring the continuous domain structure inherent to many real-world processes. To bridge this gap, we in…
Supercm: Revisiting Clustering for Semi-Supervised Learning
Durgesh Singh, Ahcene Boubekki, Robert Jenssen +1
The development of semi-supervised learning (SSL) has in recent years largely focused on the development of new consistency regularization or entropy minimization approaches, often…
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
Rogelio A Mancisidor, Robert Jenssen, Shujian Yu +1
Multimodal learning with variational autoencoders (VAEs) requires estimating joint distributions to evaluate the evidence lower bound (ELBO). Current methods, the product and mixtu…
Better, Not Just More: Data-Centric Machine Learning for Earth Observation
Ribana Roscher, Marc RuÃwurm, Caroline Gevaert +8
Recent developments and research in modern machine learning have led to substantial improvements in the geospatial field. Although numerous deep learning architectures and models h…
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer +1
Incorporating uncertainty is crucial to provide trustworthy explanations of deep learning models. Recent works have demonstrated how uncertainty modeling can be particularly import…