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Cosmas Heiß

Cosmas Heiss

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affiliation: TU Berlin, Department of Mathematics, Germany

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2020 – today

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2023
[j3]
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  - journals/fams/FlothoHSS23
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  - https://dblp.org/rec/journals/fams/FlothoHSS23
Philipp Flotho, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss:
Lagrangian motion magnification with double sparse optical flow decomposition. Frontiers Appl. Math. Stat. 9 (2023)
[j2]
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  - journals/siamis/BeinertHS23
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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]
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  - journals/corr/abs-2304-00388
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Cosmas Heiß, Ingo Gühring, Martin Eigel:
Multilevel CNNs for Parametric PDEs. CoRR abs/2304.00388 (2023)
2022
[c1]
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  - conf/embc/FlothoHSS22
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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]
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  - journals/corr/abs-2204-07636
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Philipp Flotho, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss:
Lagrangian Motion Magnification with Double Sparse Optical Flow Decomposition. CoRR abs/2204.07636 (2022)
[i4]
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  - journals/corr/abs-2205-09006
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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]
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  - journals/cars/OalaHMMKS21
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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]
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  - journals/corr/abs-2102-00863
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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]
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  - journals/corr/abs-2003-11566
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Luis Oala, Cosmas Heiss, Jan MacDonald, Maximilian März, Wojciech Samek, Gitta Kutyniok:
Interval Neural Networks: Uncertainty Scores. CoRR abs/2003.11566 (2020)
[i1]
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  - journals/corr/abs-2007-00758
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Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna:
In-Distribution Interpretability for Challenging Modalities. CoRR abs/2007.00758 (2020)

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