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Poster
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Tue 7:00 |
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective Steve Li, Benjamin M Marlin |
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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 |
Generative Flows with Matrix Exponential Changyi Xiao, Ligang Liu |
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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 |
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 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 8:00 |
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders Yibo Jiang, Cengiz Pehlevan |
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Poster
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Tue 9:00 |
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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Tue 9:00 |
Source Separation with Deep Generative Priors Vivek Jayaram, John Thickstun |
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Poster
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Tue 9:00 |
Variable Skipping for Autoregressive Range Density Estimation Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Peter Chen |
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Poster
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Tue 9:00 |
Scalable Deep Generative Modeling for Sparse Graphs Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans |
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Poster
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Tue 10:00 |
Generative Pretraining From Pixels Mark Chen, Alec Radford, Rewon Child, Jeffrey K Wu, Heewoo Jun, David Luan, Ilya Sutskever |
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Poster
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Tue 10:00 |
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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Tue 12:00 |
Normalizing Flows on Tori and Spheres Danilo J. Rezende, George Papamakarios, Sebastien Racaniere, Michael Albergo, Gurtej Kanwar, Phiala Shanahan, Kyle Cranmer |
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Poster
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Tue 13:00 |
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities Jonas Köhler, Leon Klein, Frank Noe |
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Poster
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Tue 13:00 |
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers, Emiel Hoogeboom |
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Poster
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Tue 13:00 |
Latent Space Factorisation and Manipulation via Matrix Subspace Projection Xiao Li, Chenghua Lin, Ruizhe Li, Chaozheng Wang, Frank Guerin |
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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 18:00 |
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space Keizo Kato, Jing Zhou, Tomotake Sasaki, Akira Nakagawa |
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Poster
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Wed 5:00 |
VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian |
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Poster
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Wed 5:00 |
Hierarchical Generation of Molecular Graphs using Structural Motifs Wengong Jin, Regina Barzilay, Tommi Jaakkola |
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Poster
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Wed 5:00 |
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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Wed 10:00 |
Learning Calibratable Policies using Programmatic Style-Consistency Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht |
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Poster
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Wed 10:00 |
Hypernetwork approach to generating point clouds Przemysław Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski |
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Poster
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Wed 11:00 |
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis |
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Poster
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Wed 11:00 |
PolyGen: An Autoregressive Generative Model of 3D Meshes Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter Battaglia |
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Poster
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Wed 11:00 |
Deep Gaussian Markov Random Fields Per Sidén, Fredrik Lindsten |
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Poster
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Wed 12:00 |
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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Wed 12:00 |
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables Q. Wang, Herke van Hoof |
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Poster
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Thu 6:00 |
Tails of Lipschitz Triangular Flows Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus Brubaker |
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Poster
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Thu 6:00 |
Bridging the Gap Between f-GANs and Wasserstein GANs Jiaming Song, Stefano Ermon |
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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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Thu 7:00 |
Multi-Objective Molecule Generation using Interpretable Substructures Wengong Jin, Regina Barzilay, Tommi Jaakkola |
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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 |
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Poster
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Thu 7:00 |
ACFlow: Flow Models for Arbitrary Conditional Likelihoods Yang Li, Shoaib Akbar, Junier Oliva |
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Poster
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Thu 7:00 |
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Wilson |
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Poster
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Thu 7:00 |
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit Patel, Anima Anandkumar |
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Poster
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Thu 7:00 |
Educating Text Autoencoders: Latent Representation Guidance via Denoising Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi Jaakkola |
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Poster
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Thu 7:00 |
Perceptual Generative Autoencoders Zijun Zhang, Ruixiang ZHANG, Zongpeng Li, Yoshua Bengio, Liam Paull |
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Poster
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Thu 8:00 |
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation Jae Hyun Lim, Aaron Courville, Christopher Pal, Chin-Wei Huang |
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Poster
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Thu 12:00 |
Learning Flat Latent Manifolds with VAEs Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt |
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Poster
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Thu 12:00 |
Low Bias Low Variance Gradient Estimates for Hierarchical Boolean Stochastic Networks Adeel Pervez, Taco Cohen, Stratis Gavves |
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Poster
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Thu 13:00 |
Latent Bernoulli Autoencoder Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino |
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Poster
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Thu 14:00 |
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg |
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Poster
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Thu 15:00 |
Reliable Fidelity and Diversity Metrics for Generative Models Ferjad Naeem, Seong Joon Oh, Yunjey Choi, Youngjung Uh, Jaejun Yoo |
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Poster
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Thu 17:00 |
Learning Autoencoders with Relational Regularization Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin |