Jimmy T. H. Smith

According to our database, Jimmy T. H. Smith authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula.

Sam Blouir, Jimmy T. H. Smith, Antonios Anastasopoulos, Amarda Shehu

CoRR, 2024

Towards a theory of learning dynamics in deep state space models.

Jakub Smékal, Jimmy T. H. Smith, Michael Kleinman, Dan Biderman, Scott W. Linderman

CoRR, 2024

Towards Scalable and Stable Parallelization of Nonlinear RNNs.

Xavier Gonzalez, Andrew Warrington, Jimmy T. H. Smith, Scott W. Linderman

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

State-Free Inference of State-Space Models: The *Transfer Function* Approach.

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, Michael Poli, Atsushi Yamashita

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training Objectives.

Sam Blouir, Jimmy T. H. Smith, Antonios Anastasopoulos, Amarda Shehu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Convolutional State Space Models for Long-Range Spatiotemporal Modeling.

Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simplified State Space Layers for Sequence Modeling.

Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems.

Jimmy T. H. Smith, Scott W. Linderman, David Sussillo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021