Keller, T. Anderson

12 publications

NeurIPS 2025 Bridging Expressivity and Scalability with Adaptive Unitary SSMs Arjun Karuvally, Franz Nowak, T. Anderson Keller, Carmen Amo Alonso, Terrence Sejnowski, Hava T Siegelmann

NeurIPS 2025 Flow Equivariant Recurrent Neural Networks T. Anderson Keller

NeurIPS 2025 Kuramoto Orientation Diffusion Models Yue Song, T. Anderson Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling

ICLRW 2025 Traveling Waves Integrate Spatial Information into Spectral Representations Mozes Jacobs, Roberto C. Budzinski, Lyle Muller, Demba E. Ba, T. Anderson Keller

ICLR 2024 Traveling Waves Encode the Recent past and Enhance Sequence Learning T. Anderson Keller, Lyle Muller, Terrence Sejnowski, Max Welling

ICML 2023 DUET: 2D Structured and Approximately Equivariant Representations Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella

TMLR 2023 Homomorphic Self-Supervised Learning T. Anderson Keller, Xavier Suau, Luca Zappella

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

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

NeurIPSW 2021 Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders T. Anderson Keller, Qinghe Gao, Max Welling

ICCVW 2021 Predictive Coding with Topographic Variational Autoencoders T. Anderson Keller, Max Welling

NeurIPS 2021 Topographic VAEs Learn Equivariant Capsules T. Anderson Keller, Max Welling