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Jakob Macke: Simulation-based inference and the places it takes us
Kyle Cranmer: Simulation-based inference, interpretability, and experimental design
Simulation-Based Inference by Jonas Arruda
CB2330 Session 10, Video 1 - Simulation-Based Inference
ICANN2025 - Building Mechanistic Models of Neural Computations w/ Simulation-based Machine Learning
SBI Summer School - Day 2 - Simulating and fitting models (Alex Fengler)
Teaching Statistics with Simulation-Based Inference
Rafael Izbicki | Simulation Based Calibration of Confidence Sets for Statistical Models
Lecture 15 : Bayesian Inference | Monte Carlo Simulation Course
Analytics for Decision-Making in a Complex and Dynamic World
Erica Moodie: Flexible modeling of adaptive treatment strategies for censored outcomes
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Last Updated: October 3, 2026
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Our seventh session of the AI Reading Group featured the paper " Talk by Jakob Macke at the One World ABC Seminar on April 29 2021. For more information on the seminar series, see ... Contributed talks session “Metacontrol & Abstract: Many fields of science make extensive use of mechanistic forward Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences ... Probabilistic AI School 2026 Materials: github.com/probabilisticai/probai-2026 Hosted by: - Lithuanian Artificial Intelligence ... The pre-lecture video for Session 10 of CB2330, Scientific Computing for the Life Sciences, at KTH Royal Institute of Technology. ICANN2025 - Building Mechanistic Alex Fengler gives a comprehensive workshop on simulating data from cognitive Nathan Tintle and Beth Chance introduce ways to introduce statistical In the first of our rebranded 'AI-Fun and ELLIS Invited Speaker' series, we were joined by Rafael Izbicki from the Federal ... Master Uncertainty with Monte Carlo In today's fast-changing world, data-driven Speaker: Erica Moodie (McGill University) - Discussant: Yu Cheng (University of Pittsburgh), Peter Thall (MD Anderson) - Title: ...
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