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William Gilpin

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2020 – today

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2024
[i7]
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  - journals/corr/abs-2409-15771
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Yuanzhao Zhang, William Gilpin:
Zero-shot forecasting of chaotic systems. CoRR abs/2409.15771 (2024)
2023
[i6]
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  - journals/corr/abs-2301-13516
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William Gilpin:
Recurrences reveal shared causal drivers of complex time series. CoRR abs/2301.13516 (2023)
[i5]
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  - journals/corr/abs-2303-08011
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William Gilpin:
Large statistical learning models effectively forecast diverse chaotic systems. CoRR abs/2303.08011 (2023)
[i4]
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  - journals/corr/abs-2311-04128
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William Gilpin:
Generative learning for nonlinear dynamics. CoRR abs/2311.04128 (2023)
2021
[c2]
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William Gilpin:
Chaos as an interpretable benchmark for forecasting and data-driven modelling. NeurIPS Datasets and Benchmarks 2021
[i3]
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  - journals/corr/abs-2110-05266
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William Gilpin:
Chaos as an interpretable benchmark for forecasting and data-driven modelling. CoRR abs/2110.05266 (2021)
2020
[c1]
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William Gilpin:
Deep reconstruction of strange attractors from time series. NeurIPS 2020
[i2]
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  - journals/corr/abs-2002-05909
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William Gilpin:
Deep learning of dynamical attractors from time series measurements. CoRR abs/2002.05909 (2020)

2010 – 2019

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2018
[i1]
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  - journals/corr/abs-1809-02942
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William Gilpin:
Cellular automata as convolutional neural networks. CoRR abs/1809.02942 (2018)
2017
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  - journals/ploscb/GilpinF17
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William Gilpin, Marcus W. Feldman:
A phase transition induces chaos in a predator-prey ecosystem with a dynamic fitness landscape. PLoS Comput. Biol. 13(7) (2017)
2016
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  - journals/bioinformatics/Gilpin16
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William Gilpin:
PyPDB: a Python API for the Protein Data Bank. Bioinform. 32(1): 159-160 (2016)

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