Deep Generative Stochastic Networks Trainable by Backprop

5 June 2013

Yoshua Bengio

Eric Thibodeau-Laufer

Papers citing "Deep Generative Stochastic Networks Trainable by Backprop"

50 / 170 papers shown

Title
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior Surajit Chakrabarty Rukma Talwadker Tridib Mukherjee GAN 60 3 0 02 May 2025
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 24 0 0 16 Oct 2024
Search-based Ordered Password Generation of Autoregressive Neural Networks Min Jin Junbin Ye Rongxuan Shen Huaxing Lu AI4TS 16 0 0 15 Mar 2024
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning V. Kanaujia Mathias S. Scheurer Vipul Arora GAN DRL 22 2 0 29 Jan 2024
Bring Metric Functions into Diffusion Models Jie An Zhengyuan Yang Jianfeng Wang Linjie Li Zicheng Liu Lijuan Wang Jiebo Luo DiffM 45 3 0 04 Jan 2024
$S$^{2}$-DMs:Skip-Step Diffusion Models$ S $^{2}$ -DMs:Skip-Step Diffusion Models Yixuan Wang Shuangyin Li 31 0 0 03 Jan 2024
Fast Sampling via Discrete Non-Markov Diffusion Models Zixiang Chen Huizhuo Yuan Yongqian Li Yiwen Kou Junkai Zhang Quanquan Gu DiffM 32 6 0 14 Dec 2023
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models Jiayi Guo Xingqian Xu Yifan Pu Zanlin Ni Chaofei Wang Manushree Vasu Shiji Song Gao Huang Humphrey Shi DiffM 29 28 0 07 Dec 2023
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling Ushnish Sengupta Chin-Kuo Jao A. Bernacchia Sattar Vakili Da-shan Shiu DiffM 20 11 0 10 Aug 2023
Image generation with shortest path diffusion Ayan Das Stathi Fotiadis Anil Batra F. Nabiei FengTing Liao Sattar Vakili Da-shan Shiu A. Bernacchia 22 8 0 01 Jun 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 31 3 0 30 May 2023
DiffSketching: Sketch Control Image Synthesis with Diffusion Models Qiang Wang Di Kong Fengyin Lin Yonggang Qi DiffM 38 14 0 30 May 2023
Deriving Language Models from Masked Language Models Lucas Torroba Hennigen Yoon Kim 32 11 0 24 May 2023
On quantum backpropagation, information reuse, and cheating measurement collapse Amira Abbas Robbie King Hsin-Yuan Huang W. Huggins R. Movassagh D. Gilboa Jarrod R. McClean 42 39 0 22 May 2023
3D GANs and Latent Space: A comprehensive survey S. Tata Subhankar Mishra 36 0 0 08 Apr 2023
A Diffusion-based Method for Multi-turn Compositional Image Generation Chao Wang DiffM 33 3 0 05 Apr 2023
The Predictive Forward-Forward Algorithm Alexander Ororbia A. Mali 35 37 0 04 Jan 2023
Taming Normalizing Flows Shimon Malnick S. Avidan Ohad Fried TPM DiffM 29 1 0 29 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu Zhangyang Wang Eric Zhang Kai Wang Humphrey Shi DiffM 41 183 0 15 Nov 2022
Posterior samples of source galaxies in strong gravitational lenses with score-based priors Alexandre Adam A. Coogan Nikolay Malkin Ronan Legin Laurence Perreault Levasseur Y. Hezaveh Yoshua Bengio DiffM 30 23 0 07 Nov 2022
Variational Causal Inference Yulun Wu Layne Price Zichen Wang V. Ioannidis Robert A. Barton George Karypis BDL CML 53 4 0 13 Sep 2022
fairDMS: Rapid Model Training by Data and Model Reuse Ahsan Ali Hemant Sharma R. Kettimuthu Peter Kenesei Dennis Trujillo Antonino Miceli Ian Foster Ryan N. Coffee Jana Thayer Zhengchun Liu MU 28 3 0 20 Apr 2022
Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset Hiba Kobeissi S. Mohammadzadeh Emma Lejeune AI4CE 46 15 0 08 Mar 2022
Dynamic Dual-Output Diffusion Models Yaniv Benny Lior Wolf DiffM 25 26 0 08 Mar 2022
Probing BERT's priors with serial reproduction chains Takateru Yamakoshi Thomas Griffiths Robert D. Hawkins 29 12 0 24 Feb 2022
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features Foivos Ntelemis Yaochu Jin S. Thomas OOD 19 4 0 14 Feb 2022
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 30 230 0 14 Dec 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 20 11 0 08 Oct 2021
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 76 27 0 19 Sep 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 29 11 0 23 Aug 2021
On the Generative Utility of Cyclic Conditionals Chang-Shu Liu Haoyue Tang Tao Qin Jintao Wang Tie-Yan Liu 37 3 0 30 Jun 2021
A Simple Generative Network D. Nissani GAN 14 0 0 17 Jun 2021
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng Jiaming Song Yang Song Shengjia Zhao Stefano Ermon DiffM 19 23 0 28 Mar 2021
Convex Smoothed Autoencoder-Optimal Transport model Aratrika Mustafi GAN DRL 19 1 0 14 Jan 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 16 124 0 15 Dec 2020
Learning from demonstration using products of experts: applications to manipulation and task prioritization Emmanuel Pignat João Silvério Sylvain Calinon 6 18 0 07 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 56 6,972 0 06 Oct 2020
IGANI: Iterative Generative Adversarial Networks for Imputation with Application to Traffic Data A. Kazemi Hadi Meidani 9 19 0 11 Aug 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 39 31 0 22 Jun 2020
Deep generative models for musical audio synthesis M. Huzaifah L. Wyse 27 20 0 10 Jun 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 286 0 30 Apr 2020
Towards GANs' Approximation Ability Xuejiao Liu Yao Xu Xueshuang Xiang 18 1 0 10 Apr 2020
Visual Commonsense R-CNN Tan Wang Jianqiang Huang Hanwang Zhang Qianru Sun SSL ObjD CML 18 245 0 27 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 28 818 0 20 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 32 81 0 02 Jan 2020
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity Pedro Sandoval Segura Julius Lauw Daniel Bashir K. Shah Sonia Sehra D. Macias George D. Montañez 9 7 0 23 Dec 2019
On educating machines George Leu Jiangjun Tang AI4CE 11 0 0 13 Sep 2019
Population-based Gradient Descent Weight Learning for Graph Coloring Problems Olivier Goudet B. Duval Jin-Kao Hao 9 1 0 05 Sep 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 45 397 0 25 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 33 2,290 0 06 Jun 2019