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Jesper Løve Hinrich
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2020 – today
- 2024
- [i4]Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup:
Non-negative Tensor Mixture Learning for Discrete Density Estimation. CoRR abs/2405.18220 (2024) - 2023
- [i3]Jesper Løve Hinrich, Morten Mørup:
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays. CoRR abs/2310.02694 (2023) - 2022
- [i2]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 abs/2205.03501 (2022) - 2020
- [j2]Jesper Løve Hinrich
, Kristoffer H. Madsen
, Morten Mørup
:
The probabilistic tensor decomposition toolbox. Mach. Learn. Sci. Technol. 1(2): 25011 (2020)
2010 – 2019
- 2019
- [c6]Jesper Løve Hinrich
, Morten Mørup
:
Probabilistic Tensor Train Decomposition. EUSIPCO 2019: 1-5 - 2018
- [c5]Jesper Løve Hinrich
, Morten Mørup
:
Probabilistic Sparse Non-negative Matrix Factorization. LVA/ICA 2018: 488-498 - [c4]Jesper Løve Hinrich
, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen
, Morten Mørup
:
Variational Bayesian Partially observed non-Negative Tensor Factorization. MLSP 2018: 1-6 - [i1]Philip J. H. Jørgensen, Søren Føns Vind Nielsen, Jesper Løve Hinrich
, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Morten Mørup:
Probabilistic PARAFAC2. CoRR abs/1806.08195 (2018) - 2017
- [c3]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: 6314-6318 - 2016
- [j1]Jesper Løve Hinrich
, Sophia Elizabeth Bardenfleth, Rasmus Erbou Røge, Nathan William Churchill, Kristoffer Hougaard Madsen
, Morten Mørup
:
Archetypal Analysis for Modeling Multisubject fMRI Data. IEEE J. Sel. Top. Signal Process. 10(7): 1160-1171 (2016) - [c2]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: 186-198 - [c1]Jesper Løve Hinrich
, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen
, Morten Mørup
:
Variational group-PCA for intrinsic dimensionality determination in fMRI data. PRNI 2016: 1-4
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last updated on 2024-06-25 21:50 CEST by the dblp team
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