T. Anderson Keller

19 papers A* 5Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unsupervised Representation Learning From Sparse Transformation Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2025 J jnl
Kuramoto Orientation Diffusion Models.
CoRR
Yue Song, T. Anderson Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling
2025 J jnl
Langevin Flows for Modeling Neural Latent Dynamics.
CoRR
Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2025 J jnl
Origins of Creativity in Attention-Based Diffusion Models.
CoRR
Emma Finn, T. Anderson Keller, Manos Theodosis, Demba E. Ba
2025 J jnl
Traveling Waves Integrate Spatial Information Through Time.
CoRR
Mozes Jacobs, Roberto C. Budzinski, Lyle Muller, Demba E. Ba, T. Anderson Keller
2024 J jnl
A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems.
CoRR
T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
2024 J jnl
Learning Artistic Signatures: Symmetry Discovery and Style Transfer.
CoRR
Emma Finn, T. Anderson Keller, Emmanouil Theodosis, Demba E. Ba
2024 A* conf
Traveling Waves Encode The Recent Past and Enhance Sequence Learning.
ICLR
T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
2024 J jnl
Unsupervised Representation Learning from Sparse Transformation Analysis.
CoRR
Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2023 J jnl
Flow Factorized Representation Learning.
CoRR
Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling
2023 A* conf
Latent Traversals in Generative Models as Potential Flows.
ICML
Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling
2023 A* conf
Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks.
ICML
T. Anderson Keller, Max Welling
2023 J jnl
Traveling Waves Encode the Recent Past and Enhance Sequence Learning.
CoRR
T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
2021 J jnl
Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders.
CoRR
T. Anderson Keller, Qinghe Gao, Max Welling
2021 — conf
Predictive Coding with Topographic Variational Autoencoders.
ICCVW
T. Anderson Keller, Max Welling
2021 A* conf
Self Normalizing Flows.
ICML
T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling
2021 A* conf
Topographic VAEs learn Equivariant Capsules.
NeurIPS
T. Anderson Keller, Max Welling
2021 J jnl
Topographic VAEs learn Equivariant Capsules.
CoRR
T. Anderson Keller, Max Welling
2020 J jnl
Self Normalizing Flows.
CoRR
T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling