Poster

Wed 10:30

The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
Divyansh Pareek · Andrej Risteski

Workshop

Poster

Tue 18:30

Disentanglement Analysis with Partial Information Decomposition
Seiya Tokui · Issei Sato

Poster

Wed 2:30

Deep Attentive Variational Inference
Ifigeneia Apostolopoulou · Ian Char · Elan Rosenfeld · Artur Dubrawski

Poster

Wed 18:30

$\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
Pengzhou Wu · Kenji Fukumizu

Poster

Wed 10:30

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
Satya Narayan Shukla · Benjamin M Marlin

Spotlight

Wed 2:30

Learning Multimodal VAEs through Mutual Supervision
Tom Joy · Yuge Shi · Philip Torr · Tom Rainforth · Sebastian Schmon · Siddharth N

Poster

Wed 2:30

Learning Multimodal VAEs through Mutual Supervision
Tom Joy · Yuge Shi · Philip Torr · Tom Rainforth · Sebastian Schmon · Siddharth N

Poster

Wed 10:30

Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
Frederic Koehler · Viraj Mehta · Chenghui Zhou · Andrej Risteski

Poster

Thu 2:30

Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie · Xiang Fu · Octavian Ganea · Regina Barzilay · Tommi Jaakkola

Poster

Mon 2:30

On Incorporating Inductive Biases into VAEs
Ning Miao · Emile Mathieu · Siddharth N · Yee Whye Teh · Tom Rainforth

Poster

Thu 18:30

Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs
Yaoxin Wu · Wen Song · Zhiguang Cao · Jie Zhang