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ORCIDCosmas Heiß
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- affiliation: TU Berlin, Department of Mathematics, Germany
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2020 – today
- 2023
[j4]Philipp Flotho
, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss:
Lagrangian motion magnification with double sparse optical flow decomposition. Frontiers Appl. Math. Stat. 9 (2023)- [j3]Cosmas Heiß, Ingo Gühring, Martin Eigel:
Multilevel CNNs for Parametric PDEs. J. Mach. Learn. Res. 24: 373:1-373:42 (2023) - [j2]Robert Beinert, Cosmas Heiss, Gabriele Steidl:
On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. SIAM J. Imaging Sci. 16(2): 1028-1032 (2023) - [i6]Cosmas Heiß, Ingo Gühring, Martin Eigel:
Multilevel CNNs for Parametric PDEs. CoRR abs/2304.00388 (2023) - 2022
- [c1]Philipp Flotho, Cosmas Heiß, Gabriele Steidl, Daniel J. Strauss:
Lagrangian Motion Magnification with Landmark-Prior and Sparse PCA for Facial Microexpressions and Micromovements. EMBC 2022: 2215-2218 - [i5]Philipp Flotho, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss:
Lagrangian Motion Magnification with Double Sparse Optical Flow Decomposition. CoRR abs/2204.07636 (2022) - [i4]Robert Beinert, Cosmas Heiss, Gabriele Steidl:
On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. CoRR abs/2205.09006 (2022) - 2021
- [j1]Luis Oala, Cosmas Heiß, Jan MacDonald, Maximilian März, Gitta Kutyniok, Wojciech Samek:
Detecting failure modes in image reconstructions with interval neural network uncertainty. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2089-2097 (2021) - [i3]Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho:
Self-Supervised Equivariant Scene Synthesis from Video. CoRR abs/2102.00863 (2021) - 2020
- [i2]Luis Oala, Cosmas Heiss, Jan MacDonald, Maximilian März, Wojciech Samek, Gitta Kutyniok:
Interval Neural Networks: Uncertainty Scores. CoRR abs/2003.11566 (2020) - [i1]Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna:
In-Distribution Interpretability for Challenging Modalities. CoRR abs/2007.00758 (2020)
Coauthor Index
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