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170 Results
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Tutorial
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Mon 8:00 |
Bayesian Deep Learning and a Probabilistic Perspective of Model Construction Andrew Wilson |
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Workshop
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Poster presentation: Woodbury Transformations for Deep Generative Flows Invertible Workshop INNF |
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Poster
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Tue 7:00 |
Generating Programmatic Referring Expressions via Program Synthesis Jiani Huang · Calvin Smith · Osbert Bastani · Rishabh Singh · Aws Albarghouthi · Mayur Naik |
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Poster
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Tue 14:00 |
Improving Molecular Design by Stochastic Iterative Target Augmentation Kevin Yang · Wengong Jin · Kyle Swanson · Regina Barzilay · Tommi Jaakkola |
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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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Thu 6:00 |
GraphOpt: Learning Optimization Models of Graph Formation Rakshit Trivedi · Jiachen Yang · Hongyuan Zha |
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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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Thu 12:00 |
Predictive Coding for Locally-Linear Control Rui Shu · Tung Nguyen · Yinlam Chow · Tuan Pham · Khoat Than · Mohammad Ghavamzadeh · Stefano Ermon · Hung Bui |
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Poster
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Thu 6:00 |
Latent Variable Modelling with Hyperbolic Normalizing Flows Joey Bose · Ariella Smofsky · Renjie Liao · Prakash Panangaden · Will Hamilton |
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Poster
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Wed 12:00 |
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables Qi Wang · Herke van Hoof |
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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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Thu 7:00 |
Distribution Augmentation for Generative Modeling Heewoo Jun · Rewon Child · Mark Chen · John Schulman · Aditya Ramesh · Alec Radford · Ilya Sutskever |