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On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.

A. Breger, J. Orlando, P. Harár, M. Dörfler, S. Klimscha, C. Grechenig, B. Gerendas, U. Schmidt-Erfurth, and M. Ehler. CoRR, (2019)

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Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.A. Breger, J. Orlando, P. Harár, M. Dörfler, S. Klimscha, C. Grechenig, B. Gerendas, U. Schmidt-Erfurth, and M. Ehler. J. Math. Imaging Vis., 62 (3): 395 (2020)Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data.D. Lachinov, A. Chakravarty, C. Grechenig, U. Schmidt-Erfurth, and H. Bogunovic. CoRR, (2022)U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans.J. Orlando, P. Seeböck, H. Bogunovic, S. Klimscha, C. Grechenig, S. Waldstein, B. Gerendas, and U. Schmidt-Erfurth. ISBI, page 1441-1445. IEEE, (2019)Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data.D. Lachinov, A. Chakravarty, C. Grechenig, U. Schmidt-Erfurth, and H. Bogunovic. IEEE Trans. Medical Imaging, 43 (3): 1165-1179 (March 2024)On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.A. Breger, J. Orlando, P. Harár, M. Dörfler, S. Klimscha, C. Grechenig, B. Gerendas, U. Schmidt-Erfurth, and M. Ehler. CoRR, (2019)On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.A. Breger, J. Orlando, P. Harár, M. Dörfler, S. Klimscha, C. Grechenig, B. Gerendas, U. Schmidt-Erfurth, and M. Ehler. J. Math. Imaging Vis., 62 (3): 376-394 (2020)Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning.A. Rivail, U. Schmidt-Erfurth, W. Vogl, S. Waldstein, S. Riedl, C. Grechenig, Z. Wu, and H. Bogunovic. PRIME@MICCAI, volume 11843 of Lecture Notes in Computer Science, page 44-52. Springer, (2019)Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks.J. Morano, G. Aresta, C. Grechenig, U. Schmidt-Erfurth, and H. Bogunovic. IEEE J. Biomed. Health Informatics, 28 (4): 2235-2246 (April 2024)

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Disambiguation of "Grechenig, Christoph"

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On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.

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Christoph Müller

Christoph Eggert

Christoph Thiermann

Christoph Eibl

Christoph Lettowsky

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BibSonomy

Disambiguation of "Grechenig, Christoph"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.

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Christoph Müller

Christoph Eggert

Christoph Thiermann

Christoph Eibl

Christoph Lettowsky

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On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.