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Results
Found 43 publication records. Showing 43 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Ðorðe Miladinovic, Muhammad Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer |
Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments.  |
DGS@ICLR  |
2019 |
DBLP BibTeX RDF |
|
| 1 | Hirono Okamoto, Masahiro Suzuki, Itto Higuchi, Shohei Ohsawa, Yutaka Matsuo |
Dual Space Learning with variational Autoencoders. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Gabriel Loaiza-Ganem, John P. Cunningham |
Deep Random Splines for Point Process Intensity Estimation. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan |
Unsupervised Demixing of Structured Signals from Their Superposition Using GANs. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull |
Perceptual Generative Autoencoders. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Laurent Dinh, Jascha Sohl-Dickstein, Razvan Pascanu, Hugo Larochelle |
A RAD approach to deep mixture models. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Alexey A. Gritsenko, Jasper Snoek, Tim Salimans |
On the relationship between Normalising Flows and Variational- and Denoising Autoencoders. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling |
DIVA: Domain Invariant Variational Autoencoder. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
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| 1 | Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts |
WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Babaeizadeh, Golnaz Ghiasi |
Adjustable Real-time Style Transfer. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon |
Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabás Póczos, Ruslan Salakhutdinov |
Point Cloud GAN. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Khyathi Raghavi Chandu, Eric Nyberg, Alan W. Black |
Storyboarding of Recipes: Grounded Contextual Generation. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha |
On Scalable and Efficient Computation of Large Scale Optimal Transport. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | |
Deep Generative Models for Highly Structured Data, ICLR 2019 Workshop, New Orleans, Louisiana, United States, May 6, 2019 |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Zhehui Chen, Haoming Jiang, Yuyang Shi 0001, Bo Dai 0001, Tuo Zhao |
Learning to Defense by Learning to Attack. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Septimia Sârbu, Luigi Malagò |
Variational autoencoders trained with q-deformed lower bounds. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er |
Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba 0001 |
Visualizing and Understanding GANs. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi |
Correlated Variational Auto-Encoders. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Ali Razavi, Aäron van den Oord, Oriol Vinyals |
Generating Diverse High-Resolution Images with VQ-VAE. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal |
Adversarial Mixup Resynthesizers. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Dieterich Lawson, George Tucker, Bo Dai 0001, Rajesh Ranganath |
Revisiting Auxiliary Latent Variables in Generative Models. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | John Bradshaw, Matt J. Kusner, Brooks Paige, Marwin H. S. Segler, José Miguel Hernández-Lobato |
Generating Molecules via Chemical Reactions. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Vinay Uday Prabhu, Sanghyun Han, Dian Ang Yap, Mihail Douhaniaris, Preethi Seshadri |
A Seed-Augment-Train Framework for Universal Digit Classification. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Wayne Wu, Kaidi Cao, Cheng Li 0009, Chen Qian 0006, Chen Change Loy |
Disentangling Content and Style via Unsupervised Geometry Distillation. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Gaurav Mittal, Shubham Agrawal, Anuva Agarwal, Sushant Mehta, Tanya Marwah |
Interactive Image Generation Using Scene Graphs. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Sidak Pal Singh, Andreas Hug, Aymeric Dieuleveut, Martin Jaggi |
Context Mover's Distance & Barycenters: Optimal transport of contexts for building representations. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu |
Improved Adversarial Image Captioning. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon |
AlignFlow: Learning from multiple domains via normalizing flows. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille |
Structured Prediction using cGANs with Fusion Discriminator. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Seyed Kamyar Seyed Ghasemipour, Shane Gu, Richard S. Zemel |
Understanding the Relation Between Maximum-Entropy Inverse Reinforcement Learning and Behaviour Cloning. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Cícero Nogueira dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan |
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Shuangfei Fan, Bert Huang |
Deep Generative Models for Generating Labeled Graphs. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Namrata Anand, Raphael Eguchi, Po-Ssu Huang |
Fully differentiable full-atom protein backbone generation. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly |
FVD: A new Metric for Video Generation. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi 0002 |
Understanding Posterior Collapse in Generative Latent Variable Models. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell |
Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein |
HYPE: Human-eYe Perceptual Evaluation of Generative Models. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole |
Discrete Flows: Invertible Generative Models of Discrete Data. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens |
A Learned Representation for Scalable Vector Graphics. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | John Ingraham, Vikas K. Garg, Regina Barzilay, Tommi S. Jaakkola |
Generative Models for Graph-Based Protein Design. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
| 1 | Sam Wiseman |
Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization. |
DGS@ICLR |
2019 |
DBLP BibTeX RDF |
|
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