206 citations
- University of HelsinkiFI96 papers
- University of JyväskyläFI9 papers
- National Polytechnic SchoolEC7 papers
- University of TurkuFI7 papers
- Aalto UniversityFI5 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Helsinki Institute of PhysicsFI5 papers
- University of AmsterdamNL5 papers
- University of Eastern FinlandFI4 papers
- Hebrew University of JerusalemIL3 papers
- Institute of Mathematics and Mathematical ModelingKZ3 papers
- Universidad Autónoma de MadridES3 papers
4 papers · 1 filter
Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation
Mika Sipilä, Klaus Nordhausen, Sara Taskinen
The modeling and prediction of multivariate spatio-temporal data involve numerous challenges. Dimension reduction methods can significantly simplify this process, provided that the…
Learning sparsity-promoting regularizers for linear inverse problems
Giovanni S. Alberti, Ernesto De Vito, Tapio Helin +3
This paper introduces a novel approach to learning sparsity-promoting regularizers for solving linear inverse problems. We develop a bilevel optimization framework to select an opt…
Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations
Eero Siivola, Aki Vehtari, Jarno Vanhatalo +2
Bayesian optimization (BO) is a global optimization strategy designed to find the minimum of an expensive black-box function, typically defined on a compact subset of $\mathcal{R}^…
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises
J. Read, L. Martino, P. Olmos +1
Multi-output inference tasks, such as multi-label classification, have become increasingly important in recent years. A popular method for multi-label classification is classifier…