Patrick Cannon
Approximate Bayesian Computation with Path Signatures

Dyer, Cannon, Schmon · UAI 2024 Spotlight ✦ Outstanding Paper Award

Black-box Bayesian inference for agent-based models

Dyer, Cannon, Farmer, Schmon · JEDC 2024

Robust Neural Posterior Estimation and Statistical Model Criticism

Ward, Cannon, Beaumont, Fasiolo, Schmon · NeurIPS 2022

Investigating the Impact of Model Misspecification in Simulation-Based Inference

Cannon, Ward, Schmon · arXiv 2022

Amortised Inference for Expensive Time-Series Simulators with Signatured Ratio Estimation

Dyer, Cannon, Schmon · AISTATS 2022

Calibrating Agent-Based Models to Microdata with Graph Neural Networks

Dyer, Cannon, Farmer, Schmon · ICML 2022 AI4ABM Workshop Spotlight

High Performance Simulation for Scalable Multi-Agent Reinforcement Learning

Langham-Lopez, Cannon, Schmon · ICML 2022 AI4ABM Workshop Spotlight

Generalized Posteriors in Approximate Bayesian Computation

Schmon*, Cannon*, Knoblauch · AABI 2021

Deep Signature Statistics for Likelihood-free Time-series Models

Dyer, Cannon, Schmon · ICML 2021 INNF+ Workshop

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