Search
Search Results
-
Joint intensity–gradient guided generative modeling for colorization
This paper proposes an iterative score-based generative model for solving the automatic colorization problem. Although unsupervised learning methods...
-
Generative AI and Large Language Modeling in Cybersecurity
Cybersecurity is encountering new challenges demanding innovative solutions due to the complexity and frequency of cyberattacks progressing....
-
Score-based generative modeling for de novo protein design
The generation of de novo protein structures with predefined functions and properties remains a challenging problem in protein design. Diffusion...
-
Wasserstein generative adversarial networks for modeling marked events
Marked temporal events are ubiquitous in several areas, where the events’ times and marks (types) are usually interrelated. Point processes and their...
-
Deep Generative Modeling
This textbook tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning. Moreover, it goes beyond typical...
-
On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML
Most experts agree that large language models (LLMs), such as those used by Copilot and ChatGPT, are expected to revolutionize the way in which...
-
Bilevel modeling investigated generative adversarial framework for image restoration
Generative adversarial network (GAN), which is developed on the alternative improvement of the generator and discriminator to obtain the optimal...
-
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion
In this paper, we propose a Bayesian switching dynamical model for segmentation of 3D pose data over time that uncovers interpretable patterns in the...
-
Generative Modeling of Music
Generative machine learning (ML) models are a class of models that allow you to create new data by modeling the data generating distribution. For...
-
Modeling Graphene Extraction Process Using Generative Diffusion Models
Graphene, a two-dimensional material composed of carbon atoms arranged in a hexagonal lattice, possess a unique array of properties that make it a...
-
3D Generative Network
The area of 3D generative network has been develo** rapidly due in part to the progresses in generative models and 3D sensing technology. It has a...
-
Type and Shape Disentangled Generative Modeling for Congenital Heart Defects
Congenital heart diseases (CHDs) encompass a wide range of cardiovascular structural abnormalities, and CHD patients exhibit complex and unique...
-
Generative AI Use in the Construction Industry
This chapter presents a comprehensive exploration of Generative Artificial Intelligence (AI) and its applications in the Architecture, Engineering,...
-
Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities
Data mining and analysis are critical for preventing or mitigating natural hazards. However, data availability in natural hazard analysis is...
-
Why Deep Generative Modeling?
Before we start thinking about (deep) generative modeling, let us consider a simple example. Imagine we have trained a deep neural network that...
-
Generative Networks
Synthesizing photorealistic human faces is an appealing yet challenging task. Before the advent of deep learning, researchers used predefined 3D face...
-
Generative AI with Modeling and Simulation of Activity and Flow-Based Diagrams
In systems engineering and model-based design, the complexity and interrelationships across different system elements always demand continuous...
-
Underwater Acoustic Noise Modeling Based on Generative-Adversarial-Network
This chapter introduces underwater acoustic noise modeling based on generative-adversarial-network (GAN). In underwater acoustic communications,...
-
Image embedding for denoising generative models
Denoising Diffusion models are gaining increasing popularity in the field of generative modeling for several reasons, including the simple and stable...
-
GenerativeGI: creating generative art with genetic improvement
Generative art is a domain in which artistic output is created via a procedure or heuristic that may result in digital and/or physical results. A...
