Predictive Coding with Topographic Variational Autoencoders. - T. Anderson Keller 001; Max Welling (ICCVW, 2021)

Self Normalizing Flows. - T. Anderson Keller 001; Jorn W. T. Peters; Priyank Jaini; Emiel Hoogeboom; Patrick Forré; Max Welling (ICML, 2021)

Topographic VAEs learn Equivariant Capsules. - T. Anderson Keller 001; Max Welling (NeurIPS, 2021)

Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders. - T. Anderson Keller 001; Qinghe Gao; Max Welling (CoRR, 2021)

Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks. - T. Anderson Keller 001; Max Welling (ICML, 2023)

Latent Traversals in Generative Models as Potential Flows. - Yue Song; T. Anderson Keller 001; Nicu Sebe; Max Welling (ICML, 2023)

Flow Factorized Representation Learning. - Yue Song; T. Anderson Keller 001; Nicu Sebe; Max Welling (CoRR, 2023)

Image segmentation with traveling waves in an exactly solvable recurrent neural network. - Luisa H. B. Liboni; Roberto C. Budzinski; Alexandra N. Busch; Sindy Löwe; Thomas A. Keller 001; Max Welling; Lyle E. Muller (CoRR, 2023)

Traveling Waves Encode The Recent Past and Enhance Sequence Learning. - T. Anderson Keller 001; Lyle Muller; Terrence J. Sejnowski; Max Welling (ICLR, 2024)

A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems. - T. Anderson Keller 001; Lyle Muller; Terrence J. Sejnowski; Max Welling (CoRR, 2024)

Unsupervised Representation Learning from Sparse Transformation Analysis. - Yue Song; T. Anderson Keller 001; Yisong Yue; Pietro Perona; Max Welling (CoRR, 2024)

Learning Artistic Signatures: Symmetry Discovery and Style Transfer. - Emma Finn; T. Anderson Keller 001; Emmanouil Theodosis; Demba E. Ba (CoRR, 2024)

Traveling Waves Integrate Spatial Information Through Time. - Mozes Jacobs; Roberto C. Budzinski; Lyle Muller; Demba E. Ba; T. Anderson Keller 001 (CoRR, 2025)

Origins of Creativity in Attention-Based Diffusion Models. - Emma Finn; T. Anderson Keller 001; Manos Theodosis; Demba E. Ba (CoRR, 2025)

Bridging Expressivity and Scalability with Adaptive Unitary SSMs. - Arjun Karuvally; Franz Nowak; Thomas A. Keller 001; Carmen Amo Alonso; Terrence J. Sejnowski; Hava T. Siegelmann (CoRR, 2025)

Langevin Flows for Modeling Neural Latent Dynamics. - Yue Song; T. Anderson Keller 001; Yisong Yue; Pietro Perona; Max Welling (CoRR, 2025)