Marissa A. Weis

13 papers A* 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-agent cooperation through in-context co-player inference.
CoRR
Marissa A. Weis, Maciej Wolczyk, Rajai Nasser, Rif A. Saurous, Blaise Agüera y Arcas, João Sacramento, Alexander Meulemans
2025 J jnl
Embedded Universal Predictive Intelligence: a coherent framework for multi-agent learning.
CoRR
Alexander Meulemans, Rajai Nasser, Maciej Wolczyk, Marissa A. Weis, Seijin Kobayashi, Blake A. Richards, Guillaume Lajoie, Angelika Steger, Marcus Hutter, James Manyika, Rif A. Saurous, João Sacramento, Blaise Agüera y Arcas
2025 J jnl
Hierarchical clustering with maximum density paths and mixture models.
CoRR
Martin Ritzert, Polina Turishcheva, Laura Hansel, Paul Wollenhaupt, Marissa A. Weis, Alexander S. Ecker
2024 J jnl
MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions.
CoRR
Polina Turishcheva, Laura Hansel, Martin Ritzert, Marissa A. Weis, Alexander S. Ecker
2024 — —
Unsupervised Representation Learning for Object-Centric and Neuronal Morphology Modeling
Marissa A. Weis
2023 J jnl
Self-Supervised Graph Representation Learning for Neuronal Morphologies.
Trans. Mach. Learn. Res.
Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker
2021 J jnl
Benchmarking Unsupervised Object Representations for Video Sequences.
J. Mach. Learn. Res.
Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker
2021 J jnl
Self-supervised Representation Learning of Neuronal Morphologies.
CoRR
Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker
2020 J jnl
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences.
CoRR
Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker
2019 A* conf
Flexibly Fair Representation Learning by Disentanglement.
ICML
Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A. Weis, Kevin Swersky, Toniann Pitassi, Richard S. Zemel
2019 J jnl
Flexibly Fair Representation Learning by Disentanglement.
CoRR
Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A. Weis, Kevin Swersky, Toniann Pitassi, Richard S. Zemel
2018 — conf
Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks.
ECCV (12)
Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker
2018 J jnl
Diverse feature visualizations reveal invariances in early layers of deep neural networks.
CoRR
Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker