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Poster
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Tue 7:00 |
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin · Yi-Fu Wu · Skand Peri · Bofeng Fu · Jindong Jiang · Sungjin Ahn |
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Poster
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Tue 7:00 |
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference Rob Brekelmans · Vaden Masrani · Frank Wood · Greg Ver Steeg · Aram Galstyan |
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Poster
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Tue 7:00 |
ControlVAE: Controllable Variational Autoencoder Huajie Shao · Shuochao Yao · Dachun Sun · Aston Zhang · Shengzhong Liu · Dongxin Liu · Jun Wang · Tarek Abdelzaher |
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Poster
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Tue 7:00 |
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling Will Grathwohl · Kuan-Chieh Wang · Joern-Henrik Jacobsen · David Duvenaud · Richard Zemel |
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Poster
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Tue 7:00 |
Recurrent Hierarchical Topic-Guided RNN for Language Generation Dandan Guo · Bo Chen · Ruiying Lu · Mingyuan Zhou |
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Poster
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Tue 7:00 |
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective Steven Cheng-Xian Li · Benjamin M Marlin |
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Poster
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Tue 7:00 |
Amortized Population Gibbs Samplers with Neural Sufficient Statistics Hao Wu · Heiko Zimmermann · Eli Sennesh · Tuan Anh Le · Jan-Willem van de Meent |
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Poster
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Tue 7:00 |
Generative Flows with Matrix Exponential Changyi Xiao · Ligang Liu |
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Poster
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Tue 7:00 |
On Implicit Regularization in $\beta$-VAEs Abhishek Kumar · Ben Poole |
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Poster
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Tue 7:00 |
Fair Generative Modeling via Weak Supervision Kristy Choi · Aditya Grover · Trisha Singh · Rui Shu · Stefano Ermon |
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Poster
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Tue 7:00 |
Evaluating Lossy Compression Rates of Deep Generative Models Sicong Huang · Alireza Makhzani · Yanshuai Cao · Roger Grosse |
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Poster
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Tue 8:00 |
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures Chiranjib Bhattacharyya · Ravindran Kannan |