Jimmy T.H. Smith

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Scott LindermanStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Andrew WarringtonPostdoc, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
David SussilloMeta Reality Labs and Adjunct Professor @ StanfordPreverjeni e-poštni naslov na stanford.edu
Dieterich LawsonStanford UniversityPreverjeni e-poštni naslov na stanford.edu

Jimmy T.H. Smith

PhD student, Stanford

Preverjeni e-poštni naslov na stanford.edu


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Simplified state space layers for sequence modeling JTH Smith, A Warrington, SW Linderman arXiv preprint arXiv:2208.04933, 2022	153	2022
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems J Smith, S Linderman, D Sussillo Advances in Neural Information Processing Systems 34, 16700-16713, 2021	17	2021
Convolutional state space models for long-range spatiotemporal modeling J Smith, S De Mello, J Kautz, S Linderman, W Byeon Advances in Neural Information Processing Systems 36, 2024	5	2024
All-action policy gradient methods: A numerical integration approach B Petit, L Amdahl-Culleton, Y Liu, J Smith, PL Bacon arXiv preprint arXiv:1910.09093, 2019	5	2019
State-Free Inference of State-Space Models: The Transfer Function Approach RN Parnichkun, S Massaroli, A Moro, JTH Smith, R Hasani, M Lechner, ... arXiv preprint arXiv:2405.06147, 2024		2024
Bayesian Inference in Augmented Bow Tie Networks JTH Smith, D Lawson, SW Linderman

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