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T. Anderson Keller

Affiliations:
  • The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, Cambridge, USA
  • University of Amsterdam, Amsterdam, The Netherlands (former)


According to our database1, T. Anderson Keller authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unsupervised Representation Learning from Sparse Transformation Analysis.
[BibTeX]
[DOI]
Yue Song
,
T. Anderson Keller
,
Yisong Yue
,
Pietro Perona
,
Max Welling
CoRR, 2024

A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems.
[BibTeX]
[DOI]
T. Anderson Keller
,
Lyle Muller
,
Terrence J. Sejnowski
,
Max Welling
CoRR, 2024

Traveling Waves Encode The Recent Past and Enhance Sequence Learning.
[BibTeX]
[DOI]
T. Anderson Keller
,
Lyle Muller
,
Terrence J. Sejnowski
,
Max Welling
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Image segmentation with traveling waves in an exactly solvable recurrent neural network.
[BibTeX]
[DOI]
Luisa H. B. Liboni
,
Roberto C. Budzinski
,
Alexandra N. Busch
,
Sindy Löwe
,
Thomas A. Keller
,
Max Welling
,
Lyle E. Muller
CoRR, 2023

Flow Factorized Representation Learning.
[BibTeX]
[DOI]
Yue Song
,
T. Anderson Keller
,
Nicu Sebe
,
Max Welling
CoRR, 2023

Latent Traversals in Generative Models as Potential Flows.
[BibTeX]
[DOI]
Yue Song
,
T. Anderson Keller
,
Nicu Sebe
,
Max Welling
Proceedings of the International Conference on Machine Learning, 2023

Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks.
[BibTeX]
[DOI]
T. Anderson Keller
,
Max Welling
Proceedings of the International Conference on Machine Learning, 2023

2021
Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders.
[BibTeX]
[DOI]
T. Anderson Keller
,
Qinghe Gao
,
Max Welling
CoRR, 2021

Topographic VAEs learn Equivariant Capsules.
[BibTeX]
[DOI]
T. Anderson Keller
,
Max Welling
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self Normalizing Flows.
[BibTeX]
[DOI]
T. Anderson Keller
,
Jorn W. T. Peters
,
Priyank Jaini
,
Emiel Hoogeboom
,
Patrick Forré
,
Max Welling
Proceedings of the 38th International Conference on Machine Learning, 2021

Predictive Coding with Topographic Variational Autoencoders.
[BibTeX]
[DOI]
T. Anderson Keller
,
Max Welling
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021


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