Jesper Løve Hinrich

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Tensor Decomposition

Factor Analysis

Tensor Factorization

Top Venues

IEEE J. Sel. Top. Signal Process.

Mach. Learn. Sci. Technol.

Publications

Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
Non-negative Tensor Mixture Learning for Discrete Density Estimation. CoRR (2024)
Jesper Løve Hinrich, Morten Mørup
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays. CoRR (2023)
Michael D. Sorochan Armstrong, Jesper Løve Hinrich, A. Paulina de la Mata, James J. Harynuk
PARAFAC2×N: Coupled Decomposition of Multi-modal Data with Drift in N Modes. CoRR (2022)
Jesper Løve Hinrich, Kristoffer H. Madsen, Morten Mørup
The probabilistic tensor decomposition toolbox. Mach. Learn. Sci. Technol. 1 (2) (2020)
Jesper Løve Hinrich, Morten Mørup
Probabilistic Tensor Train Decomposition. EUSIPCO (2019)
Jesper Løve Hinrich, Morten Mørup
Probabilistic Sparse Non-negative Matrix Factorization. LVA/ICA (2018)
Philip J. H. Jørgensen, Søren Føns Vind Nielsen, Jesper Løve Hinrich, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Morten Mørup
Probabilistic PARAFAC2. CoRR (2018)
Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup
Variational Bayesian Partially observed non-Negative Tensor Factorization. MLSP (2018)
Jesper Løve Hinrich, Søren Føns Vind Nielsen, Nicolai André Brogaard Riis, Casper T. Eriksen, Jacob Frosig, Marco D. F. Kristensen, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Morten Mørup
Scalable group level probabilistic sparse factor analysis. ICASSP (2017)
Jesper Løve Hinrich, Sophia Elizabeth Bardenfleth, Rasmus Erbou Roge, Nathan William Churchill, Kristoffer Hougaard Madsen, Morten Mørup
Archetypal Analysis for Modeling Multisubject fMRI Data. IEEE J. Sel. Top. Signal Process. 10 (7) (2016)
Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup
Variational group-PCA for intrinsic dimensionality determination in fMRI data. PRNI (2016)
Vincent Beliveau, Georgios Papoutsakis, Jesper Løve Hinrich, Morten Mørup
Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data. MCV/BAMBI@MICCAI (2016)