firstbacksecondback
79 Results
Oral
|
Tue 3:00 |
End-to-end Adversarial Text-to-Speech Jeff Donahue · Sander Dieleman · Mikolaj Binkowski · Erich Elsen · Karen Simonyan |
|
Poster
|
Wed 1:00 |
Gradient Origin Networks Sam Bond-Taylor · Chris G Willcocks |
|
Poster
|
Thu 9:00 |
Improving VAEs' Robustness to Adversarial Attack Matthew Willetts · Alexander Camuto · Tom Rainforth · S Roberts · Christopher Holmes |
|
Poster
|
Wed 17:00 |
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng · Jiaming Song · Yang Song · Shengjia Zhao · Stefano Ermon |
|
Poster
|
Thu 9:00 |
End-to-end Adversarial Text-to-Speech Jeff Donahue · Sander Dieleman · Mikolaj Binkowski · Erich Elsen · Karen Simonyan |
|
Poster
|
Mon 1:00 |
Implicit Normalizing Flows Cheng Lu · Jianfei Chen · Chongxuan Li · Qiuhao Wang · Jun Zhu |
|
Poster
|
Thu 17:00 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
|
Poster
|
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 |
|
Spotlight
|
Thu 21:28 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
|
Workshop
|
Fri 12:32 |
Invited Talk Live: Generative Modeling by Estimating Gradients of the Data Distribution (Live Q/A at the end) Stefano Ermon |
|
Workshop
|
Fri 8:01 |
"Generative Models for Image Synthesis" by Jan Kautz, NVIDIA Jan Kautz |
|
Poster
|
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 |