|
Poster
|
Tue 7:00 |
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective Steven Cheng-Xian Li · Benjamin M Marlin |
|
|
Poster
|
Tue 7:00 |
On Implicit Regularization in $\beta$-VAEs Abhishek Kumar · Ben Poole |
|
|
Poster
|
Tue 7:00 |
Generative Flows with Matrix Exponential Changyi Xiao · Ligang Liu |
|
|
Poster
|
Tue 7:00 |
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin · Yi-Fu Wu · Skand Peri · Bofeng Fu · Jindong Jiang · Sungjin Ahn |
|
|
Poster
|
Tue 7:00 |
ControlVAE: Controllable Variational Autoencoder Huajie Shao · Shuochao Yao · Dachun Sun · Aston Zhang · Shengzhong Liu · Dongxin Liu · Jun Wang · Tarek Abdelzaher |
|
|
Poster
|
Tue 7:00 |
Fair Generative Modeling via Weak Supervision Kristy Choi · Aditya Grover · Trisha Singh · Rui Shu · Stefano Ermon |
|
|
Poster
|
Tue 7:00 |
Evaluating Lossy Compression Rates of Deep Generative Models Sicong Huang · Alireza Makhzani · Yanshuai Cao · Roger Grosse |
|
|
Poster
|
Tue 8:00 |
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders Yibo Jiang · Cengiz Pehlevan |
|
|
Poster
|
Tue 9:00 |
Variable Skipping for Autoregressive Range Density Estimation Eric Liang · Zongheng Yang · Ion Stoica · Pieter Abbeel · Yan Duan · Peter Chen |
|
|
Poster
|
Tue 9:00 |
A Chance-Constrained Generative Framework for Sequence Optimization Xianggen Liu · Qiang Liu · Sen Song · Jian Peng |
|
|
Poster
|
Tue 9:00 |
Scalable Deep Generative Modeling for Sparse Graphs Hanjun Dai · Azade Nazi · Yujia Li · Bo Dai · Dale Schuurmans |
|
|
Poster
|
Tue 9:00 |
Source Separation with Deep Generative Priors Vivek Jayaram · John Thickstun |