Towards Principled Methods for Training Generative Adversarial Networks

17 January 2017

Papers citing "Towards Principled Methods for Training Generative Adversarial Networks"

50 / 292 papers shown

Title
ConDiSim: Conditional Diffusion Models for Simulation Based Inference Mayank Nautiyal A. Hellander Prashant Singh DiffM 32 0 0 13 May 2025
SAEN-BGS: Energy-Efficient Spiking AutoEncoder Network for Background Subtraction Zhenru Zhang Xuzhao Li Qiang Liu 26 0 0 12 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
Spectral Dictionary Learning for Generative Image Modeling Andrew Kiruluta DiffM 83 1 0 21 Apr 2025
DiffusedWrinkles: A Diffusion-Based Model for Data-Driven Garment Animation R. Vidaurre Elena Garces Dan Casas DiffM AI4CE 89 1 0 24 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 54 0 0 09 Mar 2025
Flexible Counterfactual Explanations with Generative Models Stig Hellemans Andres Algaba Sam Verboven Vincent Ginis 33 0 0 24 Feb 2025
GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects Nathan Hoffman Cashen Diniz Dehao Liu T. Rodgers Anh Tran Mark Fuge AI4CE DiffM 53 1 0 18 Feb 2025
Generating Spatial Synthetic Populations Using Wasserstein Generative Adversarial Network: A Case Study with EU-SILC Data for Helsinki and Thessaloniki Vanja Falck 44 2 0 28 Jan 2025
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis Seong-Eun Hong Soobin Lim Juyeong Hwang Minwook Chang Hyeongyeop Kang 98 1 0 28 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 91 1 0 25 Nov 2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu Yiding Chen Gokul Swamy Kianté Brantley Wen Sun DiffM 46 3 0 17 Oct 2024
Bounds on Lp errors in density ratio estimation via f-divergence loss functions Yoshiaki Kitazawa 21 0 0 02 Oct 2024
Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage Anirban Chakraborty Matthias Katzfuss OT 28 1 0 28 Sep 2024
Shape and Style GAN-based Multispectral Data Augmentation for Crop/Weed Segmentation in Precision Farming Mulham Fawakherji Vincenzo Suriani Daniele Nardi D. Bloisi 37 11 0 19 Jul 2024
EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models Nan Lin Peter Palensky Pedro P. Vergara DiffM 31 0 0 18 Jul 2024
Deep Inverse Design for High-Level Synthesis Ping Chang Tosiron Adegbija Yuchao Liao Claudio Talarico Ao Li Janet Roveda 32 0 0 11 Jul 2024
Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review Davide Carbone 38 1 0 19 Jun 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss Baoren Xiao Hao Ni Weixin Yang GAN 51 0 0 27 May 2024
Generative adversarial learning with optimal input dimension and its adaptive generator architecture Zhiyao Tan Ling Zhou Huazhen Lin GAN 42 0 0 06 May 2024
Parameter and Data-Efficient Spectral StyleDCGAN Aryan Garg CVBM GAN 37 0 0 31 Mar 2024
Adaptive LPD Radar Waveform Design with Generative Deep Learning Matthew R. Ziemann Christopher A. Metzler 30 0 0 18 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 37 5 0 11 Mar 2024
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning William Heyden Habib Ullah M. Salman Siddiqui Fadi Al Machot VLM 41 0 0 20 Dec 2023
SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia Yujun Shen Ceyuan Yang Ran Yi Wenping Wang Yong-jin Liu 34 5 0 30 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 37 4 0 13 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision Hrishikesh Sharma AI4CE EGVM 13 1 0 02 Nov 2023
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization Liang Zhang Junchi Yang Amin Karbasi Niao He 34 2 0 26 Oct 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 26 1 0 10 Oct 2023
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches Jinmeng Rao Song Gao Sijia Zhu 35 19 0 20 Sep 2023
Stylized Projected GAN: A Novel Architecture for Fast and Realistic Image Generation Md Nurul Muttakin Malik Shahid Sultan Robert Hoehndorf H. Ombao GAN 47 0 0 30 Jul 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 42 1 0 28 Jul 2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow Chuqi Chen Yue Wu Yang Xiang GAN 17 0 0 04 Jul 2023
Improving Path Planning Performance through Multimodal Generative Models with Local Critics Jorge Ocampo Jimenez Wael Suleiman 27 3 0 15 Jun 2023
Image Blending Algorithm with Automatic Mask Generation Haochen Xue Min Jin Chong Zhang Yuxuan Huang Q. Weng Xiaobo Jin 17 0 0 08 Jun 2023
An Open Patch Generator based Fingerprint Presentation Attack Detection using Generative Adversarial Network Anuj Rai Ashutosh Anshul A. Jha Prayag Jain R. Sharma S. Dey 17 5 0 06 Jun 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 32 4 0 01 Jun 2023
PCF-GAN: generating sequential data via the characteristic function of measures on the path space Hang Lou Siran Li Hao Ni AI4TS 43 10 0 21 May 2023
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks Evan Becker Parthe Pandit S. Rangan A. Fletcher GAN 26 1 0 14 May 2023
ComGAN: Toward GANs Exploiting Multiple Samples Hae-Hwan Lee GAN 31 0 0 24 Apr 2023
A Diffusion-based Method for Multi-turn Compositional Image Generation Chao Wang DiffM 33 3 0 05 Apr 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 24 28 0 06 Feb 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity Vincent Souveton Arnaud Guillin J. Jasche G. Lavaux Manon Michel 23 3 0 03 Feb 2023
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling C. Metta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo MedIm 25 11 0 18 Jan 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 18 7 0 08 Jan 2023
GAN-based Domain Inference Attack Yuechun Gu Keke Chen 15 11 0 22 Dec 2022
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification Daniel J. Getter J. Bessac J. Rudi Yan Feng 27 0 0 30 Nov 2022
Stochastic Parameterization of Column Physics using Generative Adversarial Networks B. Nadiga Xiaoming Sun Cody Nash GAN 13 8 0 30 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes Nikita Gushchin Alexander Kolesov Alexander Korotin Dmitry Vetrov Evgeny Burnaev OT DiffM 39 37 0 02 Nov 2022
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data Raffaele Marchesi Nicolo Micheletti Giuseppe Jurman V. Osmani AI4TS 37 5 0 25 Oct 2022