T. Anderson Keller

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Structured Representations

Discriminatively Trained

Class Imbalance

Top Venues

Publications

T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
Traveling Waves Encode The Recent Past and Enhance Sequence Learning. ICLR (2024)
Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling
Latent Traversals in Generative Models as Potential Flows. ICML (2023)
T. Anderson Keller, Xavier Suau, Luca Zappella
Homomorphic Self-Supervised Learning. Trans. Mach. Learn. Res. 2023 (2023)
T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
Traveling Waves Encode the Recent Past and Enhance Sequence Learning. CoRR (2023)
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
DUET: 2D Structured and Approximately Equivariant Representations. ICML (2023)
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
DUET: 2D Structured and Approximately Equivariant Representations. CoRR (2023)
Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling
Flow Factorized Representation Learning. CoRR (2023)
T. Anderson Keller, Max Welling
Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks. ICML (2023)
Ninon Lizé Masclef, T. Anderson Keller
Deep Generative Models of Music Expectation. CoRR (2023)
T. Anderson Keller, Xavier Suau, Luca Zappella
Homomorphic Self-Supervised Learning. CoRR (2022)
T. Anderson Keller, Qinghe Gao, Max Welling
Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders. CoRR (2021)
T. Anderson Keller, Max Welling
Predictive Coding with Topographic Variational Autoencoders. ICCVW (2021)
T. Anderson Keller, Max Welling
Topographic VAEs learn Equivariant Capsules. NeurIPS (2021)
Fiorella Wever, T. Anderson Keller, Victor Garcia, Laura Symul
As easy as APC: Leveraging self-supervised learning in the context of time series classification with varying levels of sparsity and severe class imbalance. CoRR (2021)
T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling
Self Normalizing Flows. ICML (2021)
T. Anderson Keller, Max Welling
Topographic VAEs learn Equivariant Capsules. CoRR (2021)
T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling
Self Normalizing Flows. CoRR (2020)
T. Anderson Keller, Sharath Nittur Sridhar, Xin Wang
Fast Weight Long Short-Term Memory. CoRR (2018)