Generative Neural Network

Generative neural networks are artificial intelligence models designed to create new data instances that resemble a training dataset, achieving this by learning the underlying data distribution. Current research focuses on improving the quality and efficiency of generation across diverse applications, employing architectures like GANs, VAEs, diffusion models, and transformers, often tailored to specific data types (images, music, tabular data, etc.). These advancements are significantly impacting various fields, enabling applications such as image enhancement, fast simulations in high-energy physics, synthetic data generation for improved machine learning model training, and even novel approaches to scientific modeling and optimization.

Papers

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

May 26, 2023

April 29, 2023

ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model
Shahroz Khan, Kosa Goucher-Lambert, Konstantinos Kostas, Panagiotis Kaklis
Generative Adversarial Network Generative Neural Network Parametric Model Ship Design Parametric Ship Hull

April 25, 2023

Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification
Jussi Leinonen, Ulrich Hamann, Daniele Nerini, Urs Germann, Gabriele Franch
Diffusion Model Uncertainty Quantification Latent Diffusion Model Generative Neural Network Precipitation Nowcasting Precipitation Forecasting

April 20, 2023

FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits
Polina Karpikova, Radionova Ekaterina, Anastasia Yaschenko, Andrei Spiridonov, Leonid Kostyushko, Riccardo Fabbricatore, Aleksei Ivakhnenko
Adversarial Learning Image Synthesis Image Quality Human Relationship Fast Inference Generative Neural Network Early eXit

March 22, 2023

NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions
Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool
Generative Adversarial Network Direct Convolution 3D Generation Generative Neural Network NeRF GAN

August 11, 2022

Language-independence of DisCoCirc's Text Circuits: English and Urdu
Muhammad Hamza Waseem, Jonathon Liu, Vincent Wang-Maścianica, Bob Coecke
Generative Neural Network Expert Curated GraMMaR Compositional Model Urdu Language

August 1, 2022

Exploring the GLIDE model for Human Action-effect Prediction
Fangjun Li, David C. Hogg, Anthony G. Cohn
Egocentric Video Action Prediction Generative Neural Network Scene Context Pulse and GLIDE Driven

June 9, 2022

Molecular dynamics without molecules: searching the conformational space of proteins with generative neural networks
Gregory Schwing, Luigi L. Palese, Ariel Fernández, Loren Schwiebert, Domenico L. Gatti
Known Molecule Molecular Dynamic Generative Neural Network Non Structural Protein Atomistic System Molecular Dynamic Trajectory Coarse Grained Molecular

May 31, 2022

Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization
Lorenzo Pacchiardi, Ritabrata Dutta
Generative Network Posterior Approximation Generative Neural Network Intractable Likelihood Likelihood Free Inference

May 10, 2022

WG-VITON: Wearing-Guide Virtual Try-On for Top and Bottom Clothes
Soonchan Park, Jinah Park
Virtual Try Generative Neural Network Binary Mask TOp Front TopMost

May 9, 2022

A Novel Generative Convolutional Neural Network for Robot Grasp Detection on Gaussian Guidance
Yuanhao Li, Yu Liu, Zhiqiang Ma, Panfeng Huang
Generative Neural Network Robust Guidance

May 6, 2022

Generative Evolutionary Strategy For Black-Box Optimizations
Changhwi Park
Bayesian Optimization Black Box Optimization Generative Neural Network Evolutionary Generative

May 5, 2022

Compressive Ptychography using Deep Image and Generative Priors
Semih Barutcu, Doğa Gürsoy, Aggelos K. Katsaggelos
Deep Image Prior Generative Neural Network Deep Image Generative Prior X Ray Ptychography Coherent Diffraction Imaging Deep Generative Prior

April 25, 2022

Using the Projected Belief Network at High Dimensions
Paul M Baggenstoss
Neural Network High Dimension Generative Neural Network Audio Spectrogram Tractable Probabilistic Model

February 10, 2022

Dynamic Background Subtraction by Generative Neural Networks
Fateme Bahri, Nilanjan Ray
Background Generation Generative Neural Network Background Estimation Background Subtraction

February 7, 2022

Algorithms that get old : the case of generative deep neural networks
Gabriel Turinici
Generative Adversarial Network Practical Algorithm Generative Question Case Relevance Variational Auto Generative Neural Network Generative Algorithm

December 16, 2021

An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks
Haedong Jeong, Jiyeon Han, Jaesik Choi
Generative Adversarial Network Unsupervised Manner Generative Neural Network Ring Artifact Image Generator

December 15, 2021

Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization
Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben, Ritabrata Dutta
Probabilistic Forecast Generative Network Generative Neural Network Adversarial Optimization