Generative Moment Matching Networks

10 February 2015

Papers citing "Generative Moment Matching Networks"

50 / 185 papers shown

Title
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 48 0 0 26 Apr 2025
3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic Gap Minmin Yang Huantao Ren Senem Velipasalar 3DPC 56 0 0 16 Apr 2025
Proper scoring rules for estimation and forecast evaluation Kartik Waghmare Johanna Ziegel AI4TS 35 0 0 02 Apr 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Jiaming Song Linqi Zhou DiffM 71 0 0 10 Mar 2025
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation Kuanghong Liu Jin Wang Kangjian He Dan Xu Xuejie Zhang 54 0 0 08 Mar 2025
An Eye for an Ear: Zero-shot Audio Description Leveraging an Image Captioner using Audiovisual Distribution Alignment Hugo Malard Michel Olvera Stéphane Lathuilière S. Essid VLM 39 0 0 08 Oct 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss Baoren Xiao Hao Ni Weixin Yang GAN 54 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
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 37 4 0 13 Nov 2023
Domain Generalisation via Risk Distribution Matching Toan Nguyen Kien Do Bao Duong T. Nguyen OOD 39 3 0 28 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 46 60 0 29 Sep 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 32 4 0 01 Jun 2023
Non-adversarial training of Neural SDEs with signature kernel scores Zacharia Issa Blanka Horvath M. Lemercier C. Salvi AI4TS 43 24 0 25 May 2023
MusicFace: Music-driven Expressive Singing Face Synthesis Peng Liu W. Deng Hengda Li Jintai Wang Yinglin Zheng Yiwei Ding Xiaohu Guo Ming Zeng CVBM 35 10 0 24 Mar 2023
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks Forough Fazeli Asl M. Zhang Lizhen Lin 29 1 0 05 Mar 2023
Domain Adaptation of Synthetic Driving Datasets for Real-World Autonomous Driving K. Mullick Harshil Jain Sanchit Gupta A. Kale OOD 31 4 0 08 Feb 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios Liangjun Feng Jiancheng Zhao Chunhui Zhao VLM 32 0 0 08 Feb 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets Hussein Hazimeh Natalia Ponomareva GAN 33 2 0 31 Jan 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 42 12 0 27 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning Emanuele Aiello D. Valsesia E. Magli DiffM 22 4 0 19 Jan 2023
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 31 7 0 22 Dec 2022
Can We Find Strong Lottery Tickets in Generative Models? Sangyeop Yeo Yoojin Jang Jy-yong Sohn Dongyoon Han Jaejun Yoo 20 6 0 16 Dec 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 49 358 0 14 Nov 2022
Proper losses for discrete generative models Rafael Frongillo Dhamma Kimpara Bo Waggoner 24 3 0 07 Nov 2022
Minimum Kernel Discrepancy Estimators Chris J. Oates 32 10 0 28 Oct 2022
Variance-Aware Estimation of Kernel Mean Embedding Geoffrey Wolfer Pierre Alquier 31 4 0 13 Oct 2022
AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization Dazhuo Wang Jianfei Yang Wei Cui Lihua Xie S. Sun 30 29 0 21 Sep 2022
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation Sungho Suh Vitor Fortes Rey P. Lukowicz 30 55 0 14 Sep 2022
Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics Masataro Asai 25 0 0 08 Sep 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 44 1 0 03 Aug 2022
Self-supervised learning with rotation-invariant kernels Léon Zheng Gilles Puy E. Riccietti Patrick Pérez Rémi Gribonval SSL 27 2 0 28 Jul 2022
Deep Semantic Statistics Matching (D2SM) Denoising Network Kangfu Mei Vishal M. Patel Rui Huang DiffM 21 8 0 19 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 60 11 0 04 Jul 2022
Functional Ensemble Distillation Coby Penso Idan Achituve Ethan Fetaya FedML 35 2 0 05 Jun 2022
Enhancing Sequential Recommendation with Graph Contrastive Learning Yixin Zhang Yong-jin Liu Yonghui Xu Hao Xiong Chenyi Lei Weiliang He Li-zhen Cui Chunyan Miao 24 57 0 30 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 46 109 0 06 May 2022
Moment Matching Deep Contrastive Latent Variable Models Ethan Weinberger Nicasia Beebe-Wang Su-In Lee 25 16 0 21 Feb 2022
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty Paz Fink Shustin Shashanka Ubaru Vasileios Kalantzis L. Horesh H. Avron 29 2 0 10 Feb 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 28 42 0 09 Feb 2022
Kernel Two-Sample Tests in High Dimension: Interplay Between Moment Discrepancy and Dimension-and-Sample Orders J. Yan Xianyang Zhang 50 17 0 31 Dec 2021
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators Carles Domingo-Enrich MLT MDE 31 0 0 27 Dec 2021
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization Lorenzo Pacchiardi Rilwan A. Adewoyin P. Dueben Ritabrata Dutta AI4TS 22 21 0 15 Dec 2021
RafterNet: Probabilistic predictions in multi-response regression Marius Hofert Avinash Prasad Mu Zhu 24 2 0 02 Dec 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 34 12 0 26 Nov 2021
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel Yindong Chen Yiwei Wang Lulu Kang Chun Liu 23 1 0 21 Nov 2021
Composite Goodness-of-fit Tests with Kernels Oscar Key Arthur Gretton F. Briol T. Fernandez 32 14 0 19 Nov 2021
MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID Chaitra Jambigi Ruchit Rawal Anirban Chakraborty 30 21 0 09 Nov 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 22 11 0 08 Oct 2021
A moment-matching metric for latent variable generative models Cédric Beaulac 19 1 0 04 Oct 2021
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning Chi-Ken Lu Patrick Shafto BDL 27 4 0 01 Oct 2021