Max-Affine Spline Insights into Deep Generative Networks

26 February 2020

Richard Baraniuk

Papers citing "Max-Affine Spline Insights into Deep Generative Networks"

43 / 43 papers shown

Title
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 34 61 0 09 Oct 2019
Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders Helena Andrés-Terré Pietro Lio DRL 10 3 0 10 Jul 2019
The Geometry of Deep Networks: Power Diagram Subdivision Randall Balestriero Romain Cosentino B. Aazhang Richard Baraniuk AI4CE 13 62 0 21 May 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 40 46 0 18 Mar 2019
Diversity-Sensitive Conditional Generative Adversarial Networks Dingdong Yang Seunghoon Hong Y. Jang Tianchen Zhao Honglak Lee GAN 60 216 0 25 Jan 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 74 1,451 0 29 Nov 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 40 861 0 02 Oct 2018
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images Matan Ben-Yosef D. Weinshall 27 54 0 30 Aug 2018
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data Yuanzhi Li Yingyu Liang MLT 84 652 0 03 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 161 3,110 0 09 Jul 2018
Theory and Experiments on Vector Quantized Autoencoders Aurko Roy Ashish Vaswani Arvind Neelakantan Niki Parmar 30 86 0 28 May 2018
Mad Max: Affine Spline Insights into Deep Learning Randall Balestriero Richard Baraniuk AI4CE 43 78 0 17 May 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 70 381 0 03 Apr 2018
Some Theoretical Properties of GANs Gérard Biau B. Cadre Maxime Sangnier Ugo Tanielian GAN 25 51 0 21 Mar 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 32 249 0 15 Mar 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 29 1,336 0 16 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 115 4,421 0 16 Feb 2018
On the Discrimination-Generalization Tradeoff in GANs Pengchuan Zhang Qiang Liu Dengyong Zhou Tao Xu Xiaodong He 43 103 0 07 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 137 4,928 0 02 Nov 2017
Triangle Generative Adversarial Networks Zhe Gan Liqun Chen Weiyao Wang Yunchen Pu Yizhe Zhang Hao Liu Chunyuan Li Lawrence Carin GAN OOD 45 138 0 19 Sep 2017
Optimizing the Latent Space of Generative Networks Piotr Bojanowski Armand Joulin David Lopez-Paz Arthur Szlam GAN 44 415 0 18 Jul 2017
On the Limitations of First-Order Approximation in GAN Dynamics Jerry Li Aleksander Madry John Peebles Ludwig Schmidt 41 55 0 29 Jun 2017
Stabilizing Training of Generative Adversarial Networks through Regularization Kevin Roth Aurelien Lucchi Sebastian Nowozin Thomas Hofmann GAN 38 444 0 25 May 2017
Approximation and Convergence Properties of Generative Adversarial Learning Shuang Liu Olivier Bousquet Kamalika Chaudhuri 16 137 0 24 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 47 628 0 19 May 2017
Multi-Agent Diverse Generative Adversarial Networks Arna Ghosh Viveka Kulharia Vinay P. Namboodiri Philip Torr P. Dokania GAN 47 304 0 10 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 50 9,509 0 31 Mar 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 64 452 0 07 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 97 4,817 0 26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 57 2,102 0 17 Jan 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 247 19,560 0 21 Nov 2016
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 193 4,554 0 13 Nov 2016
Generative Multi-Adversarial Networks Ishan Durugkar I. Gemp Sridhar Mahadevan GAN 45 342 0 05 Nov 2016
Energy-based Generative Adversarial Network Jiaqi Zhao Michaël Mathieu Yann LeCun GAN 107 1,112 0 11 Sep 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 123 3,670 0 26 May 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA Aapo Hyvarinen H. Morioka CML OOD AI4TS 24 404 0 20 May 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 195 4,143 0 21 May 2015
Training generative neural networks via Maximum Mean Discrepancy optimization Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani GAN 54 528 0 14 May 2015
Variational Recurrent Auto-Encoders Otto Fabius Joost R. van Amersfoort GAN BDL DRL 33 245 0 20 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 63 2,246 0 30 Oct 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 291 16,972 0 20 Dec 2013
Dropout Training as Adaptive Regularization Stefan Wager Sida I. Wang Percy Liang 77 595 0 04 Jul 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 95 12,384 0 24 Jun 2012