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Emerging Directions in Probabilistic Modeling

Workshop

Computational Mathematics

When

  • All Day

  • All Day

  • All Day

Where

Days 1 and 2

Flatiron Institute, 162 Fifth Avenue

160 Fifth Avenue

New York, NY 10010

Day 3

IBM One Madison

One Madison Avenue

New York, NY 10010

This workshop brings together recent advances in probabilistic modeling, with a focus on emerging methods for representing, learning, and sampling complex probability distributions. Topics of interest include kernel and transport-based methods, discrete and structured generative models, conditional and constrained modeling, and new perspectives on density modeling and sampling.

The workshop also highlights scientific applications of these ideas, including molecular dynamics, inverse problems, climate and weather modeling, and related problems in the physical and life sciences. More broadly, it aims to bring together researchers from machine learning, statistics, applied mathematics, and computational science to discuss common ideas, emerging challenges, and new opportunities in modern probabilistic modeling.

Learn more about the workshop topics, speakers, and agenda.

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