GSNs : Generative Stochastic Networks

GSNs : Generative Stochastic Networks

18 March 2015

Guillaume Alain

Eric Thibodeau-Laufer

Pascal Vincent

Papers citing "GSNs : Generative Stochastic Networks"

6 / 6 papers shown

Title
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 24 475 0 08 Mar 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 66 16,587 0 19 Jun 2020
Combining Learned Representations for Combinatorial Optimization Saavan Patel Sayeef Salahuddin AI4CE 17 1 0 09 Sep 2019
Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks Sho Sonoda Noboru Murata 8 8 0 12 Dec 2017
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction Jian Zhou O. Troyanskaya 38 144 0 06 Mar 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,597 0 03 Jul 2012