Jesper Løve Hinrich

15 papers Misc 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
E$^2$M: Double Bounded $\alpha$-Divergence Optimization for Tensor-based Discrete Density Estimation.
Trans. Mach. Learn. Res.
Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
2024 J jnl
Non-negative Tensor Mixture Learning for Discrete Density Estimation.
CoRR
Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
2024 J jnl
Probabilistic Block Term Decomposition for the Modeling of Higher Order Arrays.
Comput. Sci. Eng.
Jesper Løve Hinrich, Morten Mørup
2024 J jnl
Probabilistic PARAFAC2.
Entropy
Philip J. H. Jørgensen, Søren Føns Vind Nielsen, Jesper Løve Hinrich, Mikkel N. Schmidt, Kristoffer H. Madsen, Morten Mørup
2023 J jnl
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays.
CoRR
Jesper Løve Hinrich, Morten Mørup
2022 J jnl
PARAFAC2×N: Coupled Decomposition of Multi-modal Data with Drift in N Modes.
CoRR
Michael D. Sorochan Armstrong, Jesper Løve Hinrich, A. Paulina de la Mata, James J. Harynuk
2020 J jnl
The probabilistic tensor decomposition toolbox.
Mach. Learn. Sci. Technol.
Jesper Løve Hinrich, Kristoffer H. Madsen, Morten Mørup
2019 — conf
Probabilistic Tensor Train Decomposition.
EUSIPCO
Jesper Løve Hinrich, Morten Mørup
2018 J jnl
Probabilistic PARAFAC2.
CoRR
Philip J. H. Jørgensen, Søren Føns Vind Nielsen, Jesper Løve Hinrich, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Morten Mørup
2018 — conf
Probabilistic Sparse Non-negative Matrix Factorization.
LVA/ICA
Jesper Løve Hinrich, Morten Mørup
2018 — conf
Variational Bayesian Partially observed non-Negative Tensor Factorization.
MLSP
Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup
2017 Misc conf
Scalable group level probabilistic sparse factor analysis.
ICASSP
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
2016 J jnl
Archetypal Analysis for Modeling Multisubject fMRI Data.
IEEE J. Sel. Top. Signal Process.
Jesper Løve Hinrich, Sophia Elizabeth Bardenfleth, Rasmus Erbou Røge, Nathan William Churchill, Kristoffer Hougaard Madsen, Morten Mørup
2016 — conf
Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data.
MCV/BAMBI@MICCAI
Vincent Beliveau, Georgios Papoutsakis, Jesper Løve Hinrich, Morten Mørup
2016 — conf
Variational group-PCA for intrinsic dimensionality determination in fMRI data.
PRNI
Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup