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Workshop
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Fri 0:30
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Invited Talk 2: Bolei Zhou - Interpreting and Leveraging the Latent Semantics in Deep Generative Models
Wojciech Samek
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Poster
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Wed 11:00
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PolyGen: An Autoregressive Generative Model of 3D Meshes
Charlie Nash · Yaroslav Ganin · S. M. Ali Eslami · Peter Battaglia
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Workshop
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(#86 / Sess. 2) Graph Generation with Energy-Based Models
Jenny Liu
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Poster
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Thu 9:00
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Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Andrey Voynov · Artem Babenko
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Poster
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Tue 9:00
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A Chance-Constrained Generative Framework for Sequence Optimization
Xianggen Liu · Qiang Liu · Sen Song · Jian Peng
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Poster
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Wed 12:00
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Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
Rob Cornish · Anthony Caterini · George Deligiannidis · Arnaud Doucet
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Poster
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Thu 7:00
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Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
Kun Xu · Chongxuan Li · Jun Zhu · Bo Zhang
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Poster
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Wed 5:00
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Convolutional dictionary learning based auto-encoders for natural exponential-family distributions
Bahareh Tolooshams · Andrew Song · Simona Temereanca · Demba Ba
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Poster
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Tue 10:00
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Training Deep Energy-Based Models with f-Divergence Minimization
Lantao Yu · Yang Song · Jiaming Song · Stefano Ermon
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Poster
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Wed 13:00
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Continuous Time Bayesian Networks with Clocks
Nicolai Engelmann · Dominik Linzner · Heinz Koeppl
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Poster
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Tue 9:00
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Source Separation with Deep Generative Priors
Vivek Jayaram · John Thickstun
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Poster
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Tue 7:00
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Fair Generative Modeling via Weak Supervision
Kristy Choi · Aditya Grover · Trisha Singh · Rui Shu · Stefano Ermon
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