|
Poster
|
Wed 10:30
|
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
Divyansh Pareek · Andrej Risteski
|
|
|
Workshop
|
|
Auto-regressive WaveNet Variational Autoencoders for Alignment-free Generative Protein Design and Fitness Prediction
Niksa Praljak · Andrew Ferguson
|
|
|
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
|
β-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
|
|
