AIMC Topic: Diffusion

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Adv-BDPM: Adversarial attack based on Boundary Diffusion Probability Model.

Neural networks : the official journal of the International Neural Network Society Sep 9, 2023
Deep neural networks have become increasingly significant in our daily lives due to their remarkable performance. The issue of adversarial examples, which are responsible for the vulnerability problem of deep neural networks, has attracted the attent...
Neural Networks, Computer Algorithms Diffusion Probability
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Design of New Inorganic Crystals with the Desired Composition Using Deep Learning.

Journal of chemical information and modeling Sep 8, 2023
New solid-state materials have been discovered using various approaches from atom substitution in density functional theory (DFT) to generative models in machine learning. Recently, generative models have shown promising performance in finding new ma...
Machine Learning Databases, Factual Deep Learning Density Functional Theory Diffusion
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Multiobjective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex.

Journal of medicinal chemistry Aug 25, 2023
Opioid use disorder (OUD) has emerged as a significant global public health issue, necessitating the discovery of new medications. In this study, we propose a deep generative model that combines a stochastic differential equation (SDE)-based diffusio...
Humans Machine Learning Receptors, Opioid Diffusion Opioid-Related Disorders
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Robotic Surgery in Urology: History from PROBOT to HUGO.

Sensors (Basel, Switzerland) Aug 11, 2023
The advent of robotic surgical systems had a significant impact on every surgical area, especially urology, gynecology, and general and cardiac surgery. The aim of this article is to delineate robotic surgery, particularly focusing on its historical ...
Humans Robotics Robotic Surgical Procedures Diffusion PubMed Urology
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Adaptive pinning cluster synchronization of a stochastic reaction-diffusion complex network.

Neural networks : the official journal of the International Neural Network Society Aug 2, 2023
This work aims to achieve cluster synchronization of a complex network by some pinning control strategies. Firstly, the network not only is affected by the reaction-diffusion and the directed coupling phenomena, but also is disturbed by the stochasti...
Neural Networks, Computer Algorithms Diffusion
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Adaptive event-triggered extended dissipative synchronization of delayed reaction-diffusion neural networks under deception attacks.

Neural networks : the official journal of the International Neural Network Society Jul 20, 2023
Under spatially averaged measurements (SAMs) and deception attacks, this article mainly studies the problem of extended dissipativity output synchronization of delayed reaction-diffusion neural networks via an adaptive event-triggered sampled-data (A...
Neural Networks, Computer Time Factors Diffusion
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Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data.

Journal of mathematical biology Jun 21, 2023
We propose a machine learning framework for the data-driven discovery of macroscopic chemotactic Partial Differential Equations (PDEs)-and the closures that lead to them- from high-fidelity, individual-based stochastic simulations of Escherichia coli...
Neural Networks, Computer Computer Simulation Escherichia coli Diffusion Monte Carlo Method
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Deep learning for diffusion in porous media.

Scientific reports Jun 16, 2023
We adopt convolutional neural networks (CNN) to predict the basic properties of the porous media. Two different media types are considered: one mimics the sand packings, and the other mimics the systems derived from the extracellular space of biologi...
Neural Networks, Computer Deep Learning Porosity Diffusion Sand
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Stabilization of reaction-diffusion fractional-order memristive neural networks.

Neural networks : the official journal of the International Neural Network Society May 27, 2023
This paper investigates the stabilization control of fractional-order memristive neural networks with reaction-diffusion terms. With regard to the reaction-diffusion model, a novel processing method based on Hardy-Poincarè inequality is introduced, a...
Neural Networks, Computer Diffusion
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Diffusion characteristics classification framework for identification of diffusion source in complex networks.

PloS one May 15, 2023
The diffusion phenomena taking place in complex networks are usually modelled as diffusion process, such as the diffusion of diseases, rumors and viruses. Identification of diffusion source is crucial for developing strategies to control these harmfu...
Neural Networks, Computer Diffusion
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