We stand with Ukraine  

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 17 papers between 2021 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Kuramoto Orientation Diffusion Models.
[BibTeX]
[DOI]
Yue Song
,
T. Anderson Keller
,
Sevan Brodjian
,
Takeru Miyato
,
Yisong Yue
,
Pietro Perona
,
Max Welling
CoRR, September, 2025

Langevin Flows for Modeling Neural Latent Dynamics.
[BibTeX]
[DOI]
Yue Song
,
T. Anderson Keller
,
Yisong Yue
,
Pietro Perona
,
Max Welling
CoRR, July, 2025

Bridging Expressivity and Scalability with Adaptive Unitary SSMs.
[BibTeX]
[DOI]
Arjun Karuvally
,
Franz Nowak
,
Thomas A. Keller
,
Carmen Amo Alonso
,
Terrence J. Sejnowski
,
Hava T. Siegelmann
CoRR, July, 2025

Origins of Creativity in Attention-Based Diffusion Models.
[BibTeX]
[DOI]
Emma Finn
,
T. Anderson Keller
,
Manos Theodosis
,
Demba E. Ba
CoRR, June, 2025

Traveling Waves Integrate Spatial Information Through Time.
[BibTeX]
[DOI]
Mozes Jacobs
,
Roberto C. Budzinski
,
Lyle Muller
,
Demba E. Ba
,
T. Anderson Keller
CoRR, February, 2025

2024
Learning Artistic Signatures: Symmetry Discovery and Style Transfer.
[BibTeX]
[DOI]
Emma Finn
,
T. Anderson Keller
,
Emmanouil Theodosis
,
Demba E. Ba
CoRR, 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


  Loading...