Marissa A. Weis

According to our database, Marissa A. Weis authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unsupervised Representation Learning for Object-Centric and Neuronal Morphology Modeling

Marissa A. Weis

PhD thesis, 2024

MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions.

Polina Turishcheva, Laura Hansel, Martin Ritzert, Marissa A. Weis, Alexander S. Ecker

CoRR, 2024

2023

Self-Supervised Graph Representation Learning for Neuronal Morphologies.

Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker

Trans. Mach. Learn. Res., 2023

2021

Benchmarking Unsupervised Object Representations for Video Sequences.

Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker

J. Mach. Learn. Res., 2021

Self-supervised Representation Learning of Neuronal Morphologies.

Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker

CoRR, 2021

2020

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences.

Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker

CoRR, 2020

2019

Flexibly Fair Representation Learning by Disentanglement.

Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A. Weis, Kevin Swersky, Toniann Pitassi, Richard S. Zemel

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks.

Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker

Proceedings of the Computer Vision - ECCV 2018, 2018