Marissa A. Weis

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Object Representations

Dynamic Bayesian Networks

Top Venues

J. Mach. Learn. Res.

Publications

Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker
Self-Supervised Graph Representation Learning for Neuronal Morphologies. Trans. Mach. Learn. Res. 2023 (2023)
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 (2021)
Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker
Self-supervised Representation Learning of Neuronal Morphologies. CoRR (2021)
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 (2020)
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)
Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A. Weis, Kevin Swersky, Toniann Pitassi, Richard S. Zemel
Flexibly Fair Representation Learning by Disentanglement. CoRR (2019)
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)
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 (2018)