2025-01-20 14:16 |
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2025-01-20 14:14 |
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2025-01-20 14:12 |
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2025-01-20 14:10 |
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2025-01-20 14:09 |
[DZNE-2025-00176]
Software
Bonaguro, L. ; Kroeger, C. ; Müller, S.
Software: lorenzobonaguro/cyCONDOR: v021
cyCONDOR 0.2.1 changelog Included help function to assign metaclusters (Thanks to Lucas Secchim Ribeiro) Removal of redundant color_palette parameter and other redundant lines in the source code Added turkey hsd as post-hoc test to frequency_anova_test (see issue #10) Modified emmeans test in frequency_anova_test (see issue #10) Improvement of error messages
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2025-01-20 14:02 |
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2025-01-20 11:08 |
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2025-01-20 11:04 |
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2025-01-20 10:57 |
[DZNE-2025-00172]
Contribution to a conference proceedings
Lagemann, K. ; Lagemann, C. ; Mukherjee, S.
INVARIANCE-BASED LEARNING OF LATENT DYNAMICS
202412th International Conference on Learning Representations, ICLR 2024, ViennaVienna, Austria, 7 May 2024 - 11 May 20242024-05-072024-05-11
200372 pp. (2024)2024
We propose a new model class aimed at predicting dynamical trajectories from highdimensional empirical data. This is done by combining variational autoencodersand (spatio-)temporal transformers within a framework designed to enforce certainscientifically-motivated invariances. [...]
Fulltext: PDF PDF (PDFA); External link: Fulltext
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2025-01-20 10:49 |
[DZNE-2025-00171]
Journal Article
Perrakis, K. ; Lartigue, T.-A.-J. ; Dondelinger, F. ; et al
Regularized Joint Mixture Models
Regularized regression models are well studied and, under appropriate conditions, offerfast and statistically interpretable results. However, large data in many applications areheterogeneous in the sense of harboring distributional differences between latent groups.Then, the assumption that the conditional distribution of response Y given features X is thesame for all samples may not hold. [...]
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