Poster

Thu 9:00

Langevin Autoencoders for Learning Deep Latent Variable Models
Shohei Taniguchi · Yusuke Iwasawa · Wataru Kumagai · Yutaka Matsuo

Poster

Thu 9:00

Deep Generative Model for Periodic Graphs
Shiyu Wang · Xiaojie Guo · Liang Zhao

Poster

Tue 14:00

Hamiltonian Latent Operators for content and motion disentanglement in image sequences
Asif Khan · Amos Storkey

Workshop

Local Geometry Constraints in V1 with Deep Recurrent Autoencoders
Jonathan Huml · Demba Ba

Workshop

Local Geometry Constraints in V1 with Deep Recurrent Autoencoders
Jonathan Huml · Demba Ba

Poster

Wed 9:00

Learning Physics Constrained Dynamics Using Autoencoders
Tsung-Yen Yang · Justinian Rosca · Karthik Narasimhan · Peter J Ramadge

Poster

Tue 9:00

On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja · Anna Kuzina · Tomasz Trzcinski · Jakub Tomczak

Poster

Tue 14:00

Learning Manifold Dimensions with Conditional Variational Autoencoders
Yijia Zheng · Tong He · Yixuan Qiu · David P Wipf

Workshop

Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
Khang Ngo · Truong Son Hy · Risi Kondor

Poster

Wed 9:00

Identifiability of deep generative models without auxiliary information
Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam

Poster

Thu 9:00

Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang · Polina Kirichenko · Micah Goldblum · Andrew Wilson

Poster

Wed 9:00

Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
Ignacio Peis · Chao Ma · José Miguel Hernández-Lobato