|
Workshop
|
|
ELUQuant: Event-Level Uncertainty Quantification using Physics-Informed Bayesian Neural Networks with Flow approximated Posteriors - A DIS Study
Cristiano Fanelli · James Giroux
|
|
|
Poster
|
Thu 8:45
|
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
Yuxin Cao · Yian Li · Yumeng Zhu · Derui Wang · Minhui Xue
|
|
|
Workshop
|
Sat 12:00
|
ELeGANt: An Euler-Lagrange Analysis of Wasserstein Generative Adversarial Networks
Siddarth Asokan · Chandra Seelamantula
|
|
|
Workshop
|
Sat 13:30
|
Hacking Generative Models with Differentiable Network Bending
Giacomo Aldegheri · Alina Rogalska · Ahmed Youssef · Eugenia Iofinova
|
|
|
Workshop
|
|
Computing high-dimensional optimal transport by flow neural networks
Chen Xu · Xiuyuan Cheng · Yao Xie
|
|
|
Poster
|
Tue 15:15
|
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
Xin Yan · Hui Fang · Qiang He
|
|
|
Workshop
|
|
Gradient weighted physics-informed neural networks for capturing shocks in porous media flows
Somiya Kapoor · Abhishek Chandra · Taniya Kapoor · Mitrofan Curti
|
|
|
Poster
|
Tue 8:45
|
Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network
Hatef Otroshi Shahreza · Sébastien Marcel
|
|
|
Workshop
|
|
Mask-Agnostic Posterior Sampling MRI via Conditional GANs with Guided Reconstruction
Matthew Bendel · Rizwan Ahmad · Philip Schniter
|
|
|
Poster
|
Wed 15:00
|
Structured Neural Networks for Density Estimation and Causal Inference
Asic Chen · Ruian (Ian) Shi · Xiang Gao · Ricardo Baptista · Rahul Krishnan
|
|
|
Workshop
|
|
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective
Davide Ghio · Yatin Dandi · Florent Krzakala · Lenka Zdeborová
|
|
|
Poster
|
Tue 8:45
|
Euler-Lagrange Analysis of Generative Adversarial Networks
Siddarth Asokan · Chandra Seelamantula
|
|
