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Methods and Scientific Applications
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.
Optimal transport, kernel-based sampling, and flow-based approaches for distribution modeling
Discrete sampling and generative modeling via diffusion models and flow matching
Advanced MCMC methods, diffusion-based sampling, and scientific applications
Conditional generation, constrained optimization, and model steering
Probabilistic methods for PDEs, molecular simulation, biology, and free energy estimation
Probabilistic climate modeling, weather prediction, and uncertainty quantification
We are excited to feature talks from leading researchers in probabilistic modeling, machine learning, and scientific applications.
The Flatiron Institute is the internal research division of the Simons Foundation, home to the Center for Computational Mathematics.
IBM's state-of-the-art research and innovation hub in the heart of Manhattan, featuring collaborative spaces and cutting-edge facilities.
This workshop is limited to 80 attendees. Due to space constraints, attendance is by application only. Organizers will review applications and notify selected participants.
Attendees are encouraged to present posters showcasing their research. Indicate your interest in presenting when you apply.
Click below to open the application form. No Google account required.
Open Application FormApplication deadline: August 22, 2026
