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Patrick Cannon
Researcher, Amazon
Joined
November 2020
Names
Patrick Cannon
(Preferred)
,
Patrick William Cannon
,
Patrick W Cannon
Emails
****@gmail.com
(Confirmed)
Personal Links
Google Scholar
LinkedIn
Career & Education History
Researcher
Amazon
(amazon.com)
2024
–
Present
Researcher
Improbable
(improbable.io)
2019
–
2023
PhD student
University of Bristol
(bristol.ac.uk)
2014
–
2018
Advisors, Relations & Conflicts
PhD Advisor
Christophe Andrieu
2014
–
2018
PhD Advisor
Mark Beaumont
2014
–
2018
Expertise
Text to speech
2024
–
Present
Generative modelling
2020
–
Present
Deep learning
2019
–
Present
Likelihood free inference
2018
–
Present
Bayesian inference
2013
–
Present
Markov chain Monte Carlo
2013
–
Present
Publications
Approximate Bayesian Computation with Path Signatures
Joel Dyer
,
Patrick Cannon
,
Sebastian M Schmon
14 Apr 2023
OpenReview Archive Direct Upload
Readers:
Everyone
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning
Jordan Langham-Lopez
,
Sebastian M Schmon
,
Patrick Cannon
Published: 11 Jul 2022, Last Modified: 05 May 2023
AI4ABM 2022 Spotlight
Readers:
Everyone
Calibrating Agent-based Models to Microdata with Graph Neural Networks
Joel Dyer
,
Patrick Cannon
,
J. Doyne Farmer
,
Sebastian M Schmon
Published: 11 Jul 2022, Last Modified: 05 May 2023
AI4ABM 2022 Spotlight
Readers:
Everyone
Robust Neural Posterior Estimation and Statistical Model Criticism
Daniel Ward
,
Patrick Cannon
,
Mark Beaumont
,
Matteo Fasiolo
,
Sebastian M Schmon
Published: 31 Oct 2022, Last Modified: 08 Feb 2026
NeurIPS 2022 Accept
Readers:
Everyone
Deep Signature Statistics for Likelihood-free Time-series Models
Joel Dyer
,
Patrick W Cannon
,
Sebastian M Schmon
Published: 15 Jun 2021, Last Modified: 05 May 2023
INNF+ 2021 poster
Readers:
Everyone
Generalized Posteriors in Approximate Bayesian Computation
Sebastian M Schmon
,
Patrick W Cannon
,
Jeremias Knoblauch
Published: 21 Dec 2020, Last Modified: 05 May 2023
AABI2020
Readers:
Everyone
Co-Authors
Daniel Ward
J. Doyne Farmer
Jeremias Knoblauch
Joel Dyer
Jordan Langham-Lopez
Mark Beaumont
Matteo Fasiolo
Sebastian M Schmon