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ORCIDT. Anderson Keller
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2020 – today
- 2024
[c7]T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling:
Traveling Waves Encode The Recent Past and Enhance Sequence Learning. ICLR 2024- [i11]T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling:
A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems. CoRR abs/2409.13669 (2024) - 2023
- [j1]T. Anderson Keller, Xavier Suau, Luca Zappella:
Homomorphic Self-Supervised Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c6]T. Anderson Keller, Max Welling:
Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks. ICML 2023: 16168-16189 - [c5]Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling:
Latent Traversals in Generative Models as Potential Flows. ICML 2023: 32288-32303 - [c4]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: 32749-32769 - [i10]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 abs/2306.16058 (2023) - [i9]T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling:
Traveling Waves Encode the Recent Past and Enhance Sequence Learning. CoRR abs/2309.08045 (2023) - [i8]Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling:
Flow Factorized Representation Learning. CoRR abs/2309.13167 (2023) - [i7]Ninon Lizé Masclef, T. Anderson Keller:
Deep Generative Models of Music Expectation. CoRR abs/2310.03500 (2023) - 2022
- [i6]T. Anderson Keller, Xavier Suau, Luca Zappella:
Homomorphic Self-Supervised Learning. CoRR abs/2211.08282 (2022) - 2021
- [c3]T. Anderson Keller, Max Welling:
Predictive Coding with Topographic Variational Autoencoders. ICCVW 2021: 1086-1091 - [c2]T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling:
Self Normalizing Flows. ICML 2021: 5378-5387 - [c1]T. Anderson Keller, Max Welling:
Topographic VAEs learn Equivariant Capsules. NeurIPS 2021: 28585-28597 - [i5]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 abs/2106.15577 (2021) - [i4]T. Anderson Keller, Max Welling:
Topographic VAEs learn Equivariant Capsules. CoRR abs/2109.01394 (2021) - [i3]T. Anderson Keller, Qinghe Gao, Max Welling:
Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders. CoRR abs/2110.13911 (2021) - 2020
- [i2]T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling:
Self Normalizing Flows. CoRR abs/2011.07248 (2020)
2010 – 2019
- 2018
- [i1]T. Anderson Keller, Sharath Nittur Sridhar, Xin Wang:
Fast Weight Long Short-Term Memory. CoRR abs/1804.06511 (2018)
Coauthor Index
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