William Gilpin

According to our database1, William Gilpin authored at least 13 papers between 2016 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Panda: A pretrained forecast model for universal representation of chaotic dynamics.
CoRR, May, 2025

Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning.
CoRR, May, 2025

The cell as a token: high-dimensional geometry in language models and cell embeddings.
CoRR, March, 2025

Zero-shot forecasting of chaotic systems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023
Generative learning for nonlinear dynamics.
CoRR, 2023

Large statistical learning models effectively forecast diverse chaotic systems.
CoRR, 2023

Recurrences reveal shared causal drivers of complex time series.
CoRR, 2023

2021
Chaos as an interpretable benchmark for forecasting and data-driven modelling.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020
Deep learning of dynamical attractors from time series measurements.
CoRR, 2020

Deep reconstruction of strange attractors from time series.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018
Cellular automata as convolutional neural networks.
CoRR, 2018

2017
A phase transition induces chaos in a predator-prey ecosystem with a dynamic fitness landscape.
PLoS Comput. Biol., 2017

2016
PyPDB: a Python API for the Protein Data Bank.
Bioinform., 2016


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