Generative Adversarial

Generative Adversarial Networks (GANs) are a class of machine learning models designed to generate new data instances that resemble a training dataset. Current research focuses on improving GAN performance and stability across diverse applications, including image enhancement, speech synthesis, and data augmentation, often employing architectures like HiFi-GAN and variations of GANs combined with other neural network types (e.g., autoencoders, transformers). This work is significant due to GANs' ability to address data scarcity issues, improve the quality of synthetic data for various tasks, and enhance the robustness of AI systems against adversarial attacks.

Papers

December 20, 2023

Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach
Zhongchang Sun, Yousef El-Laham, Svitlana Vyetrenko
Generative Adversarial Network Generative Adversarial Stochastic Differential Equation Diffusion SDE Neural Stochastic Differential Equation Neural SDEs Change Point

December 17, 2023

COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations
Aryan Tyagi, Aryaman Rao, Shubhanshu Rao, Raj Kumar Singh
Generative Adversarial Computational Fluid Dynamic Chronic Obstructive Pulmonary Disease

November 17, 2023

End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
Medical Image Variational Autoencoders Tumor Segmentation Segmentation Mask Generative Adversarial Autoencoder Architecture Hamiltonian Neural Network Neck Tumor Segmentation

November 15, 2023

Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery
Ahmed Emam, Timo T. Stomberg, Ribana Roscher
Satellite Image Satellite Imagery Generative Adversarial Complex Pattern Land Cover Activation Maximization Wilderness Search

November 1, 2023

Low-latency Real-time Voice Conversion on CPU
Konstantine Sadov, Matthew Hutter, Asara Near
Voice Conversion Generative Adversarial Low Latency

October 26, 2023

High-Dimensional Prediction for Sequential Decision Making
Georgy Noarov, Ramya Ramalingam, Aaron Roth, Stephan Xie
High Dimensional Generative Adversarial Regret Guarantee Sequential Decision Making Regret Algorithm Swap Regret

October 14, 2023

Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody Modelling
Tiberiu Boros, Stefan Daniel Dumitrescu, Ionut Mironica, Radu Chivereanu
End to End Voice Conversion Generative Adversarial Prosodic Feature High Fidelity Vocoder Text to Speech Synthesis Speech Input

October 8, 2023

VITS-based Singing Voice Conversion System with DSPGAN post-processing for SVCC2023
Yiquan Zhou, Meng Chen, Yi Lei, Jihua Zhu, Weifeng Zhao
Voice Conversion Generative Adversarial Singing Voice Conversion

October 1, 2023

Quantum generative adversarial learning in photonics
Yizhi Wang, Shichuan Xue, Yaxuan Wang, Yong Liu, Jiangfang Ding, Weixu Shi, Dongyang Wang, Yingwen Liu, Xiang Fu, Guangyao Huang, Anqi Huang, Mingtang Deng, Junjie Wu
Quantum Physic Generative Adversarial Quantum Hardware Quantum Processor Near Term Quantum Photonic Device Quantum Generative Adversarial Network Quantum Datasets

September 7, 2023

Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
Yaozhong Shi, Grigorios Lavrentiadis, Domniki Asimaki, Zachary E. Ross, Kamyar Azizzadenesheli
Development Activity Generative Adversarial External Validation Ground Motion

September 6, 2023

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network
Takashi Shibuya, Yuhta Takida, Yuki Mitsufuji
Generative Adversarial Network Adversarial Learning Generative Adversarial Neural Vocoder Modern Vocoders

August 24, 2023

Model Inversion Attack via Dynamic Memory Learning
Gege Qi, YueFeng Chen, Xiaofeng Mao, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue
Generative Adversarial Model Inversion Attack Memory Network Model Inversion

August 10, 2023

UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data
Achintha Wijesinghe, Songyang Zhang, Siyu Qi, Zhi Ding
Federated Learning Generative Adversarial Unlabeled Data C Gan Novel Framework Video Classification Resource Constraint

August 8, 2023

Efficient option pricing with unary-based photonic computing chip and generative adversarial learning
Hui Zhang, Lingxiao Wan, Sergi Ramos-Calderer, Yuancheng Zhan, Wai-Keong Mok, Hong Cai, Feng Gao, Xianshu Luo, Guo-Qiang Lo, Leong Chuan Kwek, José Ignacio Latorre, Ai Qun Liu
Generative Adversarial Amplitude Estimation Option Pricing Photonic Computing Classical Computing Photonic Chip Quadratic Speedup Photonic Processor

July 11, 2023

Line Art Colorization of Fakemon using Generative Adversarial Neural Networks
Erick Oliveira Rodrigues, Esteban Clua, Giovani Bernardes Vitor
Adversarial Learning Generative Adversarial Generative Approach Line Art Colorization

July 3, 2023

Interpretability and Transparency-Driven Detection and Transformation of Textual Adversarial Examples (IT-DT)
Bushra Sabir, M. Ali Babar, Sharif Abuadbba
Adversarial Attack Adversarial Example Inherent Interpretability Generative Adversarial Adversarial Input Character Transformation Textual Adversarial Example

June 13, 2023

Dynamically Masked Discriminator for Generative Adversarial Networks
Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem
Generative Adversarial Network Generative Adversarial Online Continual Learning Discriminative Model Bi Discriminator

June 6, 2023

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias
Ziyue Jiang, Yi Ren, Zhenhui Ye, Jinglin Liu, Chen Zhang, Qian Yang, Shengpeng Ji, Rongjie Huang, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao
Text to Speech Visual Analogue Scale Inductive Bias Generative Adversarial Zero Shot Text to Speech

May 31, 2023

Text-to-Speech Pipeline for Swiss German -- A comparison
Tobias Bollinger, Jan Deriu, Manfred Vogel
Consistent Comparison Text to Speech Speech Synthesis Generative Adversarial Text to Speech Model Swiss German

May 30, 2023

A Federated Channel Modeling System using Generative Neural Networks
Saira Bano, Pietro Cassarà, Nicola Tonellotto, Alberto Gotta
Generative Adversarial Network Federated Learning Generative Adversarial Generative Neural Network Path Loss