Jimmy T. H. Smith

14 papers A* 6Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LFM2 Technical Report. CoRR Alexander Amini, Anna Banaszak, Harold Benoit, Arthur Böök, Tarek Dakhran, Song Duong, Alfred Eng, Fernando Fernandes, Marc Härkönen, Anne Harrington, Ramin M. Hasani, Saniya Karwa, Yuri Khrustalev, Maxime Labonne, Mathias Lechner, Valentine Lechner, Simon Lee, Zetian Li, Noel Loo, Jacob Marks, Edoardo Mosca, Samuel J. Paech, Paul Pak, Rom N. Parnichkun, Alex Quach, Ryan Rogers, Daniela Rus, Nayan Saxena, Bettina Schlager, Tim Seyde, Jimmy T. H. Smith, Aditya Tadimeti, Neehal Tumma
2024	A*	`conf`	Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training Objectives. EMNLP Sam Blouir, Jimmy T. H. Smith, Antonios Anastasopoulos, Amarda Shehu
2024	J	`jnl`	Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula. CoRR Sam Blouir, Jimmy T. H. Smith, Antonios Anastasopoulos, Amarda Shehu
2024	A*	`conf`	State-Free Inference of State-Space Models: The Transfer Function Approach. ICML 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
2024	J	`jnl`	State-Free Inference of State-Space Models: The Transfer Function Approach. CoRR 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
2024	A*	`conf`	Towards Scalable and Stable Parallelization of Nonlinear RNNs. NeurIPS Xavier Gonzalez, Andrew Warrington, Jimmy T. H. Smith, Scott W. Linderman
2024	J	`jnl`	Towards Scalable and Stable Parallelization of Nonlinear RNNs. CoRR Xavier Gonzalez, Andrew Warrington, Jimmy T. H. Smith, Scott W. Linderman
2024	J	`jnl`	Towards a theory of learning dynamics in deep state space models. CoRR Jakub Smékal, Jimmy T. H. Smith, Michael Kleinman, Dan Biderman, Scott W. Linderman
2023	A*	`conf`	Convolutional State Space Models for Long-Range Spatiotemporal Modeling. NeurIPS Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon
2023	J	`jnl`	Convolutional State Space Models for Long-Range Spatiotemporal Modeling. CoRR Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon
2023	A*	`conf`	Simplified State Space Layers for Sequence Modeling. ICLR Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman
2022	J	`jnl`	Simplified State Space Layers for Sequence Modeling. CoRR Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman
2021	A*	`conf`	Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems. NeurIPS Jimmy T. H. Smith, Scott W. Linderman, David Sussillo
2021	J	`jnl`	Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems. CoRR Jimmy T. H. Smith, Scott W. Linderman, David Sussillo