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T. Anderson Keller

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Deep Generative Models of Music Expectation

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Oct 05, 2023
Ninon Lizé Masclef, T. Anderson Keller

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Flow Factorized Representation Learning

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Sep 22, 2023
Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling

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Traveling Waves Encode the Recent Past and Enhance Sequence Learning

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Sep 03, 2023
T. Anderson Keller, Lyle Muller, Terrence Sejnowski, Max Welling

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DUET: 2D Structured and Approximately Equivariant Representations

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Jun 30, 2023
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella

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Homomorphic Self-Supervised Learning

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Nov 15, 2022
T. Anderson Keller, Xavier Suau, Luca Zappella

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Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders

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Oct 25, 2021
T. Anderson Keller, Qinghe Gao, Max Welling

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Topographic VAEs learn Equivariant Capsules

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Sep 03, 2021
T. Anderson Keller, Max Welling

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As easy as APC: Leveraging self-supervised learning in the context of time series classification with varying levels of sparsity and severe class imbalance

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Jun 29, 2021
Fiorella Wever, T. Anderson Keller, Victor Garcia, Laura Symul

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Self Normalizing Flows

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Nov 14, 2020
T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling

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Fast Weight Long Short-Term Memory

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Apr 18, 2018
T. Anderson Keller, Sharath Nittur Sridhar, Xin Wang

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