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

April 26, 2024

April 25, 2024

A Notion of Uniqueness for the Adversarial Bayes Classifier
Natalie S. Frank
Binary Classification Generative Adversarial Bayes Classifier

April 15, 2024

VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
Xun Yuan, Yang Yang, Prosanta Gope, Aryan Pasikhani, Biplab Sikdar
Synthetic Data Synthetic Dataset Generative Adversarial C Gan Private Datasets Partitioned Data

April 11, 2024

Synthetic Brain Images: Bridging the Gap in Brain Mapping With Generative Adversarial Model
Drici Mourad, Kazeem Oluwakemi Oseni
Generative Adversarial Network Generative Adversarial MRI Slice Brain Mapping Synthetic Brain MRI

March 28, 2024

$H$-Consistency Guarantees for Regression
Anqi Mao, Mehryar Mohri, Yutao Zhong
Novel Regression Generative Adversarial Surrogate Loss H$ Consistency

March 25, 2024

Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka
Generative Adversarial Network Speech Synthesis Generative Adversarial Limited Data High Fidelity Vocoder Differentiable Augmentation

March 14, 2024

DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers
Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma
Neural Network Deep Neural Network Generative Adversarial 32 Bit Microcontrollers Deep Neural Network Training Network Selection

February 28, 2024

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
Jiahao Huang, Liutao Yang, Fanwen Wang, Yang Nan, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
Uncertainty Estimation Image Reconstruction Generative Adversarial Mamba Based

February 19, 2024

Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels
Shubhi Shukla, Manaar Alam, Pabitra Mitra, Debdeep Mukhopadhyay
Adversarial Example Transfer Learning Generative Adversarial CNN Architecture Convolutional Neural Network Model Adversarial Image Side Channel

January 26, 2024

UNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit Normalization
Yuejiao Wang, Xixin Wu, Disong Wang, Lingwei Meng, Helen Meng
Generative Adversarial Dysarthric Speech Phonological Reconstruction Speaker Normalization Dysarthric Speech Reconstruction

January 24, 2024

Scaling NVIDIA's Multi-speaker Multi-lingual TTS Systems with Zero-Shot TTS to Indic Languages
Akshit Arora, Rohan Badlani, Sungwon Kim, Rafael Valle, Bryan Catanzaro
Text to Speech Generative Adversarial Indian Language Text to Speech Model Zero Shot Text to Speech Speaker Information State of the Art NVIDIA

December 31, 2023

AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
M Sabbir Salek, Abdullah Al Mamun, Mashrur Chowdhury
Adversarial Attack Generative Adversarial Network Autonomous Vehicle Generative Adversarial Sign Classification

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 Low Latency Generative Adversarial

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

Generative Adversarial

Papers

Adversarial Consistency and the Uniqueness of the Adversarial Bayes Classifier

An Investigation of Time-Frequency Representation Discriminators for High-Fidelity Vocoder

A Notion of Uniqueness for the Adversarial Bayes Classifier

VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication

Synthetic Brain Images: Bridging the Gap in Brain Mapping With Generative Adversarial Model

$H$-Consistency Guarantees for Regression

Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator

DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation

Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels

UNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit Normalization

Scaling NVIDIA's Multi-speaker Multi-lingual TTS Systems with Zero-Shot TTS to Indic Languages

AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles

Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach

COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations

End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks

Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery

Low-latency Real-time Voice Conversion on CPU

High-Dimensional Prediction for Sequential Decision Making

Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody Modelling