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Marissa A. Weis

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2020 – today

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2021
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Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker:
Benchmarking Unsupervised Object Representations for Video Sequences. J. Mach. Learn. Res. 22: 183:1-183:61 (2021)
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  - journals/corr/abs-2112-12482
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Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker:
Self-supervised Representation Learning of Neuronal Morphologies. CoRR abs/2112.12482 (2021)
2020
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  - journals/corr/abs-2006-07034
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Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker:
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. CoRR abs/2006.07034 (2020)

2010 – 2019

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2019
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  - conf/icml/CreagerMJWSPZ19
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Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A. Weis, Kevin Swersky, Toniann Pitassi, Richard S. Zemel:
Flexibly Fair Representation Learning by Disentanglement. ICML 2019: 1436-1445
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  - journals/corr/abs-1906-02589
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Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A. Weis, Kevin Swersky, Toniann Pitassi, Richard S. Zemel:
Flexibly Fair Representation Learning by Disentanglement. CoRR abs/1906.02589 (2019)
2018
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Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker:
Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks. ECCV (12) 2018: 225-240
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Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker:
Diverse feature visualizations reveal invariances in early layers of deep neural networks. CoRR abs/1807.10589 (2018)

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