Jimmy T. H. Smith

According to our database1, Jimmy T. H. Smith authored at least 8 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula.
CoRR, 2024

Towards Scalable and Stable Parallelization of Nonlinear RNNs.
CoRR, 2024

Towards a theory of learning dynamics in deep state space models.
CoRR, 2024

State-Free Inference of State-Space Models: The *Transfer Function* Approach.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training Objectives.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Convolutional State Space Models for Long-Range Spatiotemporal Modeling.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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