Jimmy T. H. Smith

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Dynamical Systems

Recurrent Neural Networks

Transfer Function

Top Venues

Publications

Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Atsushi Yamashita, Michael Poli
State-Free Inference of State-Space Models: The Transfer Function Approach. CoRR (2024)
Xavier Gonzalez, Andrew Warrington, Jimmy T. H. Smith, Scott W. Linderman
Towards Scalable and Stable Parallelization of Nonlinear RNNs. CoRR (2024)
Jakub Smékal, Jimmy T. H. Smith, Michael Kleinman, Dan Biderman, Scott W. Linderman
Towards a theory of learning dynamics in deep state space models. CoRR (2024)
Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman
Simplified State Space Layers for Sequence Modeling. ICLR (2023)
Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon
Convolutional State Space Models for Long-Range Spatiotemporal Modeling. NeurIPS (2023)
Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon
Convolutional State Space Models for Long-Range Spatiotemporal Modeling. CoRR (2023)
Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman
Simplified State Space Layers for Sequence Modeling. CoRR (2022)
Jimmy T. H. Smith, Scott W. Linderman, David Sussillo
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems. CoRR (2021)
Jimmy T. H. Smith, Scott W. Linderman, David Sussillo
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems. NeurIPS (2021)