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Poster
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Mon 1:00 |
Implicit Normalizing Flows Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu |
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Poster
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Mon 1:00 |
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen, Dinghuai Zhang, Michael U Gutmann, Aaron Courville, Zhanxing Zhu |
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Oral
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Mon 5:15 |
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs Xingang Pan, Bo DAI, Ziwei Liu, Chen Change Loy, Ping Luo |
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Poster
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Mon 9:00 |
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Boloni |
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Poster
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Mon 9:00 |
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections Csaba Toth, Patric Bonnier, Harald Oberhauser |
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Poster
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Mon 9:00 |
Training GANs with Stronger Augmentations via Contrastive Discriminator Jongheon Jeong, Jinwoo Shin |
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Poster
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Mon 9:00 |
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization Joshua Chang, Patrick A Fletcher, Jungmin Han, Ted Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson Chow |
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Poster
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Mon 9:00 |
Learning Structural Edits via Incremental Tree Transformations Ziyu Yao, Frank F Xu, Pengcheng Yin, Huan Sun, Graham Neubig |
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Poster
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Mon 9:00 |
The role of Disentanglement in Generalisation Milton Montero, Casimir JH Ludwig, Rui Ponte Costa, Gaurav Malhotra, Jeffrey Bowers |
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Poster
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Mon 17:00 |
MALI: A memory efficient and reverse accurate integrator for Neural ODEs Juntang Zhuang, Nicha C Dvornek, sekhar tatikonda, James s Duncan |
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Poster
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Mon 17:00 |
Decentralized Attribution of Generative Models Changhoon Kim, Yi Ren, 'YZ' Yezhou Yang |
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Poster
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Mon 17:00 |
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song, Jascha Sohl-Dickstein, Durk Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole |
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Poster
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Tue 1:00 |
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling Đorđe Miladinović, Aleksandar Stanić, Stefan Bauer, Jürgen Schmidhuber, Joachim M Buhmann |
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Poster
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Tue 1:00 |
Refining Deep Generative Models via Discriminator Gradient Flow Abdul Fatir Ansari, Ming Liang Ang, Harold Soh |
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Poster
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Tue 1:00 |
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs Xingang Pan, Bo DAI, Ziwei Liu, Chen Change Loy, Ping Luo |
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Poster
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Tue 1:00 |
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? Balázs Kégl, Gabriel Hurtado, Albert Thomas |
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Poster
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Tue 1:00 |
Generalized Multimodal ELBO Thomas Sutter, Imant Daunhawer, Julia E Vogt |
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Poster
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Tue 1:00 |
Capturing Label Characteristics in VAEs Tom W Joy, Sebastian Schmon, Philip Torr, Siddharth N, Tom Rainforth |
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Poster
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Tue 1:00 |
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler |
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Poster
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Tue 1:00 |
Generalized Energy Based Models Michael Arbel, Liang Zhou, Arthur Gretton |
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Poster
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Tue 9:00 |
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks Thomas Bird, Friso Kingma, David Barber |
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Poster
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Tue 9:00 |
Physics-aware, probabilistic model order reduction with guaranteed stability Sebastian Kaltenbach, PS Koutsourelakis |
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Poster
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Tue 9:00 |
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H Hovy |
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Oral
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Tue 12:15 |
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler |
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Poster
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Tue 17:00 |
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang, Tian Qi Chen, Christos Tsirigotis, Aaron Courville |
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Poster
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Tue 17:00 |
Denoising Diffusion Implicit Models Jiaming Song, Chenlin Meng, Stefano Ermon |
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Poster
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Tue 17:00 |
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin, Mike Wu, Noah Goodman |
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Poster
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Tue 17:00 |
Hierarchical Autoregressive Modeling for Neural Video Compression Ruihan Yang, Yibo Yang, Joe Marino, Stephan Mandt |
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Poster
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Tue 17:00 |
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis Zhipeng Bao, Yu-Xiong Wang, Martial Hebert |
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Poster
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Wed 1:00 |
Negative Data Augmentation Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon |
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Poster
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Wed 1:00 |
Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang |
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Poster
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Wed 1:00 |
Gradient Origin Networks Sam Bond-Taylor, Chris G Willcocks |
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Poster
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Wed 1:00 |
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models Yuge Shi, Brooks Paige, Philip Torr, Siddharth N |
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Spotlight
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Wed 5:35 |
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen, Dinghuai Zhang, Michael U Gutmann, Aaron Courville, Zhanxing Zhu |
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Spotlight
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Wed 5:45 |
Implicit Normalizing Flows Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu |
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Poster
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Wed 9:00 |
Property Controllable Variational Autoencoder via Invertible Mutual Dependence Xiaojie Guo, Yuanqi Du, Liang Zhao |
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Poster
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Wed 9:00 |
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer |
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Poster
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Wed 9:00 |
Learning Task-General Representations with Generative Neuro-Symbolic Modeling Reuben Feinman, Brenden Lake |
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Poster
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Wed 9:00 |
Modeling the Second Player in Distributionally Robust Optimization Paul Michel, Tatsunori Hashimoto, Graham Neubig |
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Oral
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Wed 16:30 |
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song, Jascha Sohl-Dickstein, Durk Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole |
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Poster
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Wed 17:00 |
Learning to Generate 3D Shapes with Generative Cellular Automata Dongsu Zhang, Changwoon Choi, Jeonghwan Kim, Young Min Kim |
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Poster
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Wed 17:00 |
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro |
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Poster
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Wed 17:00 |
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Ng, Gunnar E Carlsson, Stefano Ermon |
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Poster
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Wed 17:00 |
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon |
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Oral
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Wed 19:00 |
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon |
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Poster
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Thu 1:00 |
Private Image Reconstruction from System Side Channels Using Generative Models Yuanyuan Yuan, Shuai Wang, Junping Zhang |
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Poster
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Thu 1:00 |
Counterfactual Generative Networks Axel Sauer, Andreas Geiger |
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Poster
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Thu 1:00 |
Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang |
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Poster
|
Thu 9:00 |
Improving VAEs' Robustness to Adversarial Attack Matthew Willetts, Alexander Camuto, Tom Rainforth, S Roberts, Christopher Holmes |
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Poster
|
Thu 9:00 |
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Combes |
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Oral
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Thu 13:00 |
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro |
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Poster
|
Thu 17:00 |
No MCMC for me: Amortized sampling for fast and stable training of energy-based models Will Grathwohl, Jacob Kelly, Milad Hashemi, Mohammad Norouzi, Kevin Swersky, David Duvenaud |
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Poster
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Thu 17:00 |
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling Yang Zhao, Jianwen Xie, Ping Li |
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Poster
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Thu 17:00 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui |
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Spotlight
|
Thu 21:28 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui |
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Workshop
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Fri 3:30 |
Neural Compression: From Information Theory to Applications Stephan Mandt, Robert Bamler, Yingzhen Li, Christopher Schroers, Yang Yang, Max Welling, Taco Cohen |
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Workshop
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Fri 6:14 |
Density Approximation in Deep Generative Models with Kernel Transfer Operators Zhichun Huang |
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Workshop
|
Fri 7:00 |
Synthetic Data Generation: Quality, Privacy, Bias Sergul Aydore, Krishnaram Kenthapadi, Haipeng Chen, Edward Choi, Jamie Hayes, Mario Fritz, Rachel Cummings, Krishnaram Kenthapadi |
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Workshop
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Fri 8:01 |
"Generative Models for Image Synthesis" by Jan Kautz, NVIDIA Jan Kautz |
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Workshop
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Fri 8:30 |
Break + Posters |
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Workshop
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Fri 10:51 |
"Bias and Generalization of Deep Generative Models" by Stefano Ermon, Stanford University Stefano Ermon |
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Workshop
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Fri 12:58 |
CIGMO: Learning categorical invariant deep generative models from grouped data Haruo Hosoya |
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Workshop
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Fri 15:10 |
On Linear Interpolation in the Latent Space of Deep Generative Models Mike Yan Michelis, Quentin Becker |
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Workshop
|
CAUSALLY CONSTRAINED DATA SYNTHESIS FOR PRIVATE DATA RELEASE Varun Chandrasekaran, Darren Edge, Somesh Jha, Amit Sharma, Cheng Zhang, Shruti Tople |