Scientific poster with dark-blue background. Title: Flow Annealed Importance Sampling Bootstrap meets differentiable particle physics. The poster contains multiple sections: Generation of data in particle physics, normalizing flows, training approaches, and results for a 2D distribution (lambda_c^+ decay) and a 8D distribution (top production). Additionally, results for the efficiency over the number of target evaluations are shown.
1/ π New Paper Alert: Spotlight at NeurIPS ML and the Physical Sciences Workshop!
We explore the intersection of high-energy physics and machine learning. What's the challenge weβre targeting, and why does it matter? Let's dive in! π§΅π
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