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The Representation Jensen-Shannon Divergence

25 May 2023

J. Hoyos-Osorio

Santiago Posso-Murillo

L. S. Giraldo

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Papers citing "The Representation Jensen-Shannon Divergence"

35 / 35 papers shown

Title
Compress Then Test: Powerful Kernel Testing in Near-linear Time Carles Domingo-Enrich Raaz Dwivedi Lester W. Mackey 86 10 0 14 Jan 2023
AutoML Two-Sample Test Jonas M. Kubler Vincent Stimper Simon Buchholz Krikamol Muandet Bernhard Schölkopf 66 16 0 17 Jun 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Information Theory with Kernel Methods Francis R. Bach 56 41 0 17 Feb 2022
A Differential Entropy Estimator for Training Neural Networks Georg Pichler Pierre Colombo Malik Boudiaf Günther Koliander Pablo Piantanida 149 23 0 14 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 266 509 0 01 Feb 2022
The Representation Jensen-Rényi Divergence J. Hoyos-Osorio Oscar Skean A. Brockmeier L. S. Giraldo 36 2 0 02 Dec 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 177 1,596 0 23 Jun 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 70 106 0 10 May 2021
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies Mike Walmsley Chris J. Lintott Tobias Geron Sandor Kruk Coleman M Krawczyk ... B. Simmons R. Smethurst Lewis Smith E. Baeten C. Macmillan MDE 124 84 0 16 Feb 2021
On $f$ -divergences between Cauchy distributions Frank Nielsen K. Okamura 40 24 0 29 Jan 2021
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes M. H. Quang 54 13 0 15 Nov 2020
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks Ruize Gao Feng Liu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Masashi Sugiyama AAML 62 56 0 22 Oct 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 337 1,740 0 29 Jun 2020
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 59 43 0 21 Feb 2020
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 51 62 0 09 Oct 2019
Learning Robust Global Representations by Penalizing Local Predictive Power Haohan Wang Songwei Ge Eric Xing Zachary Chase Lipton OOD 122 962 0 29 May 2019
Generalized Sliced Wasserstein Distances Soheil Kolouri Kimia Nadjahi Umut Simsekli Roland Badeau Gustavo K. Rohde 50 300 0 01 Feb 2019
Learning deep kernels for exponential family densities W. Li Danica J. Sutherland Heiko Strathmann Arthur Gretton BDL 52 74 0 20 Nov 2018
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 144 2,047 0 22 Jun 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning Akash Srivastava Lazar Valkov Chris Russell Michael U. Gutmann Charles Sutton SyDa GAN 60 678 0 22 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 207 9,548 0 31 Mar 2017
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios M. Noshad Kevin R. Moon Salimeh Yasaei Sekeh Alfred Hero 56 45 0 17 Feb 2017
Mode Regularized Generative Adversarial Networks Tong Che Yanran Li Athul Paul Jacob Yoshua Bengio Wenjie Li GAN 106 555 0 07 Dec 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 100 1,004 0 07 Nov 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 155 402 0 20 Oct 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 483 9,052 0 10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 151 1,656 0 02 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 74 1,314 0 02 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 258 14,012 0 19 Nov 2015
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 246 886 0 06 Nov 2015
Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur Z. Szabó 72 130 0 06 Jun 2015
Bregman Divergences for Infinite Dimensional Covariance Matrices Mehrtash Harandi Mathieu Salzmann Fatih Porikli 67 106 0 18 Mar 2014
Nonparametric Estimation of Renyi Divergence and Friends A. Krishnamurthy Kirthevasan Kandasamy Barnabás Póczós Larry A. Wasserman 99 92 0 12 Feb 2014
Measures of Entropy from Data Using Infinitely Divisible Kernels Luis G. Sanchez Giraldo M. Rao José C. Príncipe 78 124 0 11 Nov 2012