Patrick Cannon

According to our database, Patrick Cannon authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning (CRITICAL).

Yuan Luo, Luke V. Rasmussen, Andrew Williams, Jared Houghtaling, Andrew P. Michelson, Philip R. O. Payne, James J. Cimino, John D. Osborne, Prasanth Nannapaneni, Yikuan Li, Saki Amagai, Meghan Hutch, Jenny Ding, Adrienne S. Kline, Catherine A. Gao, Jason Womack, Rui Zhu, Matthew C. Wyatt, Robert Brown, Snehil Gupta, Nicole Venteris, Aditi Gupta, Weiwei Ma, Ethan Hillis, Patrick Cannon, Marty Alvarez, Justin Starren, Kristi L. Holmes, Matthew B. Carson, Albert M. Lai, Adam B. Wilcox

Dataset, December, 2024

Approximate Bayesian Computation with Path Signatures.

Joel Dyer, Patrick Cannon, Sebastian M. Schmon

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2022

Investigating the Impact of Model Misspecification in Neural Simulation-based Inference.

Patrick Cannon, Daniel Ward, Sebastian M. Schmon

CoRR, 2022

High Performance Simulation for Scalable Multi-Agent Reinforcement Learning.

Jordan Langham-Lopez, Sebastian M. Schmon, Patrick Cannon

CoRR, 2022

Calibrating Agent-based Models to Microdata with Graph Neural Networks.

Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian M. Schmon

CoRR, 2022

Black-box Bayesian inference for economic agent-based models.

Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian M. Schmon

CoRR, 2022

Robust Neural Posterior Estimation and Statistical Model Criticism.

Daniel Ward, Patrick Cannon, Mark Beaumont, Matteo Fasiolo, Sebastian M. Schmon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation.

Joel Dyer, Patrick W. Cannon, Sebastian M. Schmon

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022