Jimmy T. H. Smith

1. Simplified State Space Layers for Sequence Modeling
   2022/08/09 by Jimmy T. H. Smith, Andrew Warrington, Smith, Jimmy T. H. +3 · 105 citations
   Computer Science · #Age of Information Optimization #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques
2. Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
   2021/11/01 by Jimmy T. H. Smith, Scott W. Linderman, Smith, Jimmy T. H. +3 · 5 citations
   Neuroscience · Computer Science · Physics and Astronomy · #Neural dynamics and brain function #Neural Networks and Applications #Model Reduction and Neural Networks
3. Towards Scalable and Stable Parallelization of Nonlinear RNNs
   2024/07/26 by Xavier González, Andrew Warrington, Gonzalez, Xavier +5 · 10 citations
   Computer Science · #Quantum-Dot Cellular Automata #Neural Networks and Applications
4. State-Free Inference of State-Space Models: The Transfer Function Approach
   2024/05/10 by Rom N. Parnichkun, Parnichkun, Rom N., Stefano Massaroli +23 · 5 citations
   Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
5. In-Place Tokenizer Expansion for Pre-trained LLMs
   2026/07/16 by Jimmy T. H. Smith, Tarek Dakhran, Alberto Cabrera +7
   #cs.CL #cs.AI #cs.LG