Jan P. Williams

According to our database, Jan P. Williams authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models.

Stefano Riva, Carolina Introini, Antonio Cammi, Dean Price, Alexey Yermakov, Yue Zhao, Philippe Martin Wyder, Judah Goldfeder, Jan P. Williams, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles D. Cranmer, J. Nathan Kutz

CoRR, May, 2026

OpenReservoirComputing: GPU-Accelerated Reservoir Computing in JAX.

Jan P. Williams, Dima Tretiak, Steven L. Brunton, J. Nathan Kutz, Krithika Manohar

CoRR, March, 2026

Reservoir computing for system identification and model predictive control.

Jan P. Williams, J. Nathan Kutz, Krithika Manohar

Neural Networks, 2026

2025

The Seismic Wavefield Common Task Framework.

Alexey Yermakov, Yue Zhao, Marine Denolle, Yiyu Ni, Philippe Martin Wyder, Judah Goldfeder, Stefano Riva, Jan P. Williams, David Zoro, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles D. Cranmer, J. Nathan Kutz

CoRR, December, 2025

PySHRED: A Python package for SHallow REcurrent Decoding for sparse sensing, model reduction and scientific discovery.

David Ye, Jan P. Williams, Mars Liyao Gao, Stefano Riva, Matteo Tomasetto, David Zoro, J. Nathan Kutz

CoRR, July, 2025

Reduced Order Modeling with Shallow Recurrent Decoder Networks.

Matteo Tomasetto, Jan P. Williams, Francesco Braghin, Andrea Manzoni, J. Nathan Kutz

CoRR, February, 2025

Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks.

Mars Liyao Gao, Jan P. Williams, J. Nathan Kutz

CoRR, January, 2025

Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms.

Philippe Martin Wyder, Judah Goldfeder, Alexey Yermakov, Yue Zhao, Stefano Riva, Jan P. Williams, David Zoro, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles D. Cranmer, J. Nathan Kutz

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Reservoir computing for system identification and predictive control with limited data.

Jan P. Williams, J. Nathan Kutz, Krithika Manohar

CoRR, 2024

Leveraging Arbitrary Mobile Sensor Trajectories With Shallow Recurrent Decoder Networks for Full-State Reconstruction.

Megan R. Ebers, Jan P. Williams, Katherine M. Steele, J. Nathan Kutz

IEEE Access, 2024