AIMC Topic: Diffusion

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Diffusing on Two Levels and Optimizing for Multiple Properties: A Novel Approach to Generating Molecules With Desirable Properties.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
In the past decade, Artificial Intelligence (AI) driven drug design and discovery has been a hot research topic in the AI area, where an important branch is molecule generation by generative models, from GAN-based models and VAE-based models to the l...
Artificial Intelligence Algorithms Computational Biology Diffusion Drug Design Drug Discovery
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Taming Prolonged Ionic Drift-Diffusion Dynamics for Brain-Inspired Computation.

Advanced materials (Deerfield Beach, Fla.) Nov 27, 2024
Recent advances in neural network-based computing have enabled human-like information processing in areas such as image classification and voice recognition. However, many neural networks run on conventional computers that operate at GHz clock freque...
Humans Oxides Titanium Neural Networks, Computer Brain Semiconductors Strontium Transistors, Electronic Diffusion
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Outer synchronization and outer H synchronization for coupled fractional-order reaction-diffusion neural networks with multiweights.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2024
This paper introduces multiple state or spatial-diffusion coupled fractional-order reaction-diffusion neural networks, and discusses the outer synchronization and outer H synchronization problems for these coupled fractional-order reaction-diffusion ...
Diffusion Nonlinear Dynamics Neural Networks, Computer Algorithms Computer Simulation
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Node classification in the heterophilic regime via diffusion-jump GNNs.

Neural networks : the official journal of the International Neural Network Society Oct 26, 2024
In the ideal (homophilic) regime of vanilla GNNs, nodes belonging to the same community have the same label: most of the nodes are harmonic (their unknown labels result from averaging those of their neighbors given some labeled nodes). In other words...
Diffusion Algorithms Neural Networks, Computer
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Linear diffusion noise boosted deep image prior for unsupervised sparse-view CT reconstruction.

Physics in medicine and biology Aug 9, 2024
Deep learning has markedly enhanced the performance of sparse-view computed tomography reconstruction. However, the dependence of these methods on supervised training using high-quality paired datasets, and the necessity for retraining under varied p...
Unsupervised Machine Learning Diffusion Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Humans
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Fast flow field prediction of pollutant leakage diffusion based on deep learning.

Environmental science and pollution research international Jul 29, 2024
Predicting pollutant leakage and diffusion processes is crucial for ensuring people's safety. While the deep learning method offers high simulation efficiency and superior generalization, there is currently a lack of research on predicting pollutant ...
Deep Learning Hydrodynamics Diffusion
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LD-CSNet: A latent diffusion-based architecture for perceptual Compressed Sensing.

Neural networks : the official journal of the International Neural Network Society Jul 14, 2024
Compressed Sensing (CS) is a groundbreaking paradigm in image acquisition, challenging the constraints of the Nyquist-Shannon sampling theorem. This enables high-quality image reconstruction using a minimal number of measurements. Neural Networks' po...
Humans Neural Networks, Computer Diffusion Algorithms Data Compression Image Processing, Computer-Assisted
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Application of Generative Artificial Intelligence in Predicting Membrane Partitioning of Drugs: Combining Denoising Diffusion Probabilistic Models and MD Simulations Reduces the Computational Cost to One-Third.

Journal of chemical theory and computation Jun 28, 2024
The optimal interaction of drugs with plasma membranes and membranes of subcellular organelles is a prerequisite for desirable pharmacology. Importantly, for drugs targeting the transmembrane lipid-facing sites of integral membrane proteins, the rela...
Artificial Intelligence Models, Statistical Cell Membrane Molecular Dynamics Simulation Pharmaceutical Preparations Lipid Bilayers Diffusion
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Suppressing the HIFU interference in ultrasound guiding images with a diffusion-based deep learning model.

Computer methods and programs in biomedicine Jun 25, 2024
BACKGROUND AND OBJECTIVES: In ultrasound guided high-intensity focused ultrasound (HIFU) surgery, it is necessary to transmit sound waves at different frequencies simultaneously using two transducers: one for the HIFU therapy and another for the ultr...
Deep Learning Image Processing, Computer-Assisted Animals Algorithms Diffusion High-Intensity Focused Ultrasound Ablation
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Sliding mode control for uncertain fractional-order reaction-diffusion memristor neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society May 21, 2024
This paper investigates a sliding mode control method for a class of uncertain delayed fractional-order reaction-diffusion memristor neural networks. Different from most existing literature on sliding mode control for fractional-order reaction-diffus...
Time Factors Diffusion Algorithms Neural Networks, Computer Uncertainty Computer Simulation
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