09:00 | Opening Remarks |
09:10 | Invited talk by Karen Ullrich |
09:50 | Invited talk by Tommi Jaakkola |
10:30 | Coffee Break |
10:50 | Invited talk by Durk Kingma |
11:30 | Contributed talk: Collapsed Inference for Bayesian Deep Learning |
11:40 | Contributed talk: Provable benefits of score matching |
11:50 | Contributed talk: BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping |
12:00 | Poster Session 1 |
13:00 | Panel Discussion: Yang Song, Yilun Xu, Ricky T.Q. Chen, Charlotte Bunne, Arash Vahdat, moderated by Chenlin Meng |
14:00 | Invited talk by Ruqi Zhang |
14:40 | Invited talk by Stefano Ermon |
15:20 | Contributed talk: BayesDAG: Gradient-based Posterior Sampling for Causal Discovery |
15:30 | Contributed talk: Generative Marginalization Models |
15:40 | Contributed talk: Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network |
15:50 | Closing Remarks |
16:00 | Poster Session 2 |