9:00- 9:15
Organizing committee
9:15 - 9:45
Emtiyaz Khan
Coffee Break 9:45 - 10:00
10:00-10:30
10:00 - Underdamped Diffusion Bridges with Applications to Sampling
Denis Blessing, Julius Berner, Lorenz Richter, Gerhard Neumann
10:10 - Adjoint Sampling: Highly-Scalable Diffusion Samplers via Adjoint Matching
Aaron J Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen
10:20 - Approximate Posteriors in Neural Networks: A Sampling Perspective
Julius Kobialka, Emanuel Sommer, Juntae Kwon, Daniel Dold, David Rügamer
10:30 - 11:00
Grant M. Rotskoff
11:00 - 12:00
Lunch 12:00 - 13:00
13:00- 13:30
Francisco Vargas
13:30 - 14:00
Michael Albergo
14:00 - 14:30
14:00 - LEAPS: A discrete neural sampler via locally equivariant networks
Peter Holderrieth, Michael Samuel Abergo, Tommi Jaakkola
14:10 - Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo
Lee Cheuk Kit, Paul Jeha, Jes Frellsen, Pietro Lio, Michael Samuel Albergo, Francisco Vargas
14:20 - Distributionally Robust Posterior Sampling - A Variational Bayes Approach
Bohan Wu, Bennett Zhu, David Blei
14:30 - 15:00
Sitan Chen
Coffee Break 15:00 - 15:15
15:15 - 15:45
Marylou Gabrié
15:45 - 16:45
Ricky T.Q Chen, Michael Hutchinson, Molei Tao, Sinho Chewi, Pranav Murugan
16:45 - 17:45
17:45 - 18:00
Organizing committee