Adversarial Time-to-Event Modeling

9 April 2018

Lawrence Carin

Papers citing "Adversarial Time-to-Event Modeling"

20 / 20 papers shown

Title
Learning Survival Distributions with the Asymmetric Laplace Distribution Deming Sheng Ricardo Henao 127 0 0 06 May 2025
Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework Stephane Fotso 232 124 0 17 Jan 2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 109 7,318 0 27 Oct 2017
Symmetric Variational Autoencoder and Connections to Adversarial Learning Liqun Chen Shuyang Dai Yunchen Pu Chunyuan Li Weiyao Wang Lawrence Carin DRL GAN 70 71 0 06 Sep 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching Chunyuan Li Hao Liu Changyou Chen Yunchen Pu Liqun Chen Ricardo Henao Lawrence Carin GAN FedML 60 220 0 05 Sep 2017
Adversarial Feature Matching for Text Generation Yizhe Zhang Zhe Gan Kai Fan Zhi Chen Ricardo Henao Dinghan Shen Lawrence Carin GAN 67 333 0 12 Jun 2017
Deep Learning for Patient-Specific Kidney Graft Survival Analysis Margaux Luck Tristan Sylvain H. Cardinal Andrea Lodi Yoshua Bengio SyDa 104 115 0 29 May 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 302 19,560 0 21 Nov 2016
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy Danica J. Sutherland H. Tung Heiko Strathmann Soumyajit De Aaditya Ramdas Alex Smola Arthur Gretton 60 258 0 14 Nov 2016
Gaussian Processes for Survival Analysis T. Fernandez Nicolás Rivera Yee Whye Teh GP 49 76 0 02 Nov 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu Weinan Zhang Jun Wang Yong Yu GAN 54 2,397 0 18 Sep 2016
Deep Survival Analysis Rajesh Ranganath A. Perotte Noémie Elhadad David M. Blei 125 198 0 06 Aug 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 437 8,999 0 10 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 67 1,312 0 02 Jun 2016
Generative Adversarial Text to Image Synthesis Scott E. Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele Honglak Lee GAN 162 3,136 0 17 May 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 237 13,968 0 19 Nov 2015
Brain Tumor Segmentation with Deep Neural Networks Mohammad Havaei Axel Davy David Warde-Farley A. Biard Aaron Courville Yoshua Bengio C. Pal Pierre-Marc Jodoin Hugo Larochelle 3DV 99 2,869 0 13 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 381 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014
Predicting accurate probabilities with a ranking loss A. Menon Xiaoqian Jiang Shankar Vembu Charles Elkan L. Ohno-Machado 68 71 0 18 Jun 2012