PyPDB: a Python API for the Protein Data Bank. - William Gilpin (Bioinform., 2016)

A phase transition induces chaos in a predator-prey ecosystem with a dynamic fitness landscape. - William Gilpin; Marcus W. Feldman (PLoS Comput. Biol., 2017)

Cellular automata as convolutional neural networks. - William Gilpin (CoRR, 2018)

Deep reconstruction of strange attractors from time series. - William Gilpin (NeurIPS, 2020)

Deep learning of dynamical attractors from time series measurements. - William Gilpin (CoRR, 2020)

Chaos as an interpretable benchmark for forecasting and data-driven modelling. - William Gilpin (NeurIPS Datasets and Benchmarks, 2021)

Recurrences reveal shared causal drivers of complex time series. - William Gilpin (CoRR, 2023)

Large statistical learning models effectively forecast diverse chaotic systems. - William Gilpin (CoRR, 2023)

Generative learning for nonlinear dynamics. - William Gilpin (CoRR, 2023)

Zero-shot forecasting of chaotic systems. - Yuanzhao Zhang; William Gilpin (ICLR, 2025)

The cell as a token: high-dimensional geometry in language models and cell embeddings. - William Gilpin (CoRR, 2025)

Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning. - Yuanzhao Zhang; William Gilpin (CoRR, 2025)

Panda: A pretrained forecast model for universal representation of chaotic dynamics. - Jeffrey Lai; Anthony Bao; William Gilpin (CoRR, 2025)