Autoregressive Quantile Networks for Generative Modeling

Autoregressive Quantile Networks for Generative Modeling

14 June 2018

Georg Ostrovski

Papers citing "Autoregressive Quantile Networks for Generative Modeling"

16 / 16 papers shown

Title
Deep Generative Quantile Bayes Jungeum Kim Percy S. Zhai Veronika Rockova 46 0 0 10 Oct 2024
Learning to Simulate: Generative Metamodeling via Quantile Regression L. Hong Yanxi Hou Qingkai Zhang Xiaowei Zhang 14 1 0 29 Nov 2023
Distributional GFlowNets with Quantile Flows Dinghuai Zhang L. Pan Ricky T. Q. Chen Aaron Courville Yoshua Bengio 29 25 0 11 Feb 2023
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models Yueqin Yin Lianghua Huang Yu Liu Kaiqiang Huang DiffM 35 12 0 16 Oct 2022
Inference and Sampling for Archimax Copulas Yuting Ng Ali Hasan Vahid Tarokh 23 5 0 27 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu J. Li Ping Li 21 50 0 13 May 2022
Funnels: Exact maximum likelihood with dimensionality reduction Samuel Klein J. A. Raine Sebastian Pina-Otey S. Voloshynovskiy T. Golling TPM 35 4 0 15 Dec 2021
Implicit Quantile Neural Networks for Jet Simulation and Correction B. Kronheim M. Kuchera Harrison B. Prosper R. Ramanujan 15 4 0 22 Nov 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
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 36 478 0 08 Mar 2021
A case for new neural network smoothness constraints Mihaela Rosca T. Weber A. Gretton S. Mohamed AAML 25 48 0 14 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 16 138 0 02 Dec 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 116 16,901 0 19 Jun 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator Yuxuan Song Qiwei Ye Minkai Xu Tie-Yan Liu 17 8 0 05 Apr 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 24 87 0 17 Feb 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,545 0 25 Jan 2016