Learning in Implicit Generative Models

11 October 2016

Papers citing "Learning in Implicit Generative Models"

50 / 53 papers shown

Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 45 0 0 08 May 2025
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 37 0 0 05 May 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 64 0 0 29 Apr 2025
Proper scoring rules for estimation and forecast evaluation Kartik Waghmare Johanna Ziegel AI4TS 33 0 0 02 Apr 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 77 2 0 20 Feb 2025
Misspecification-robust likelihood-free inference in high dimensions Owen Thomas Raquel Sá-Leao H. Lencastre Samuel Kaski J. Corander Henri Pesonen 66 9 0 17 Feb 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 48 0 0 28 Jan 2025
Your copula is a classifier in disguise: classification-based copula density estimation David Huk Mark Steel Ritabrata Dutta 23 0 0 05 Nov 2024
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg Ron Levie 31 0 0 18 Sep 2024
Multimodality of AI for Education: Towards Artificial General Intelligence Gyeong-Geon Lee Lehong Shi Ehsan Latif Yizhu Gao Arne Bewersdorff ... Zheng Liu Hui Wang Gengchen Mai Tiaming Liu Xiaoming Zhai 22 37 0 10 Dec 2023
FitDiff: Robust monocular 3D facial shape and reflectance estimation using Diffusion Models Stathis Galanakis Alexandros Lattas Stylianos Moschoglou S. Zafeiriou 19 2 0 07 Dec 2023
TURBO: The Swiss Knife of Auto-Encoders Guillaume Quétant Yury Belousov Vitaliy Kinakh S. Voloshynovskiy 19 6 0 11 Nov 2023
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 11 1 0 09 Nov 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 10 1 0 10 Oct 2023
Neural Markov Jump Processes Patrick Seifner Ramses J. Sanchez BDL 27 7 0 31 May 2023
Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images Jiatao Gu Qingzhe Gao Shuangfei Zhai Baoquan Chen Lingjie Liu J. Susskind 28 29 0 13 Apr 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 11 0 0 03 Jan 2023
Estimating Regression Predictive Distributions with Sample Networks Ali Harakeh Jordan S. K. Hu Naiqing Guan Steven L. Waslander Liam Paull BDL UQCV 15 4 0 24 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 26 11 0 07 Nov 2022
SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson Allan Raventós Andrew Warrington Scott W. Linderman BDL 11 15 0 13 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 171 49 0 30 May 2022
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines I. Nikoloska Osvaldo Simeone AI4CE 6 3 0 31 Mar 2022
Variational methods for simulation-based inference Manuel Glöckler Michael Deistler Jakob H. Macke 16 46 0 08 Mar 2022
Resolving label uncertainty with implicit posterior models Esther Rolf Nikolay Malkin Alexandros Graikos A. Jojic Caleb Robinson Nebojsa Jojic UQCV 8 10 0 28 Feb 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation Yi-Fan Zhang Hanlin Zhang Zachary Chase Lipton Li Erran Li Eric P. Xing OODD 16 29 0 02 Feb 2022
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 13 101 0 30 Nov 2021
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification Romain Egele R. Maulik Krishnan Raghavan Bethany Lusch Isabelle M Guyon Prasanna Balaprakash UQCV OOD BDL 9 45 0 26 Oct 2021
Learnability of the output distributions of local quantum circuits M. Hinsche M. Ioannou A. Nietner J. Haferkamp Yihui Quek D. Hangleiter Jean-Pierre Seifert Jens Eisert R. Sweke 27 17 0 11 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 16 11 0 08 Oct 2021
Implicit Generative Copulas Tim Janke M. Ghanmi F. Steinke 32 17 0 29 Sep 2021
There and Back Again: Learning to Simulate Radar Data for Real-World Applications Rob Weston Oiwi Parker Jones Ingmar Posner 11 18 0 29 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 38 6,908 0 06 Oct 2020
Variational Inference with Continuously-Indexed Normalizing Flows Anthony L. Caterini R. Cornish Dino Sejdinovic Arnaud Doucet BDL 11 19 0 10 Jul 2020
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 34 117 0 10 Feb 2020
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 4 61 0 09 Oct 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 13 123 0 23 Jun 2019
Effective LHC measurements with matrix elements and machine learning Johann Brehmer Kyle Cranmer Irina Espejo F. Kling Gilles Louppe J. Pavez 10 14 0 04 Jun 2019
Towards Multi-pose Guided Virtual Try-on Network Haoye Dong Xiaodan Liang Bochao Wang Hanjiang Lai Jia Zhu Jian Yin 3DH 17 202 0 28 Feb 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 17 37 0 24 Jan 2019
Spread Divergence Mingtian Zhang Peter Hayes Thomas Bird Raza Habib David Barber MedIm UD 20 20 0 21 Nov 2018
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks XueQing Deng Yi Zhu Shawn D. Newsam GAN 20 27 0 13 Jun 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 16 119 0 28 May 2018
The Blessings of Multiple Causes Yixin Wang David M. Blei AI4CE CML 9 281 0 17 May 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 13 4,385 0 16 Feb 2018
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches Simon Olofsson M. Deisenroth Ruth Misener 11 10 0 12 Feb 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 30 681 0 15 Nov 2017
Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen Chunyuan Li Liquan Chen Wenlin Wang Yunchen Pu Lawrence Carin TPM 27 57 0 04 Sep 2017
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric P. Xing DRL GAN 16 126 0 02 Jun 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 21 100 0 02 Jun 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 11 84 0 22 May 2017