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Dermatology Subcategories: Atopy Psoriasis

Showing 736-756 of 2,979 articles

CPFI-EIT: A CNN-PINN Framework for Full-Inverse Electrical Impedance Tomography on Non-Smooth Conductivity Distributions

This paper introduces a hybrid learning framework that combines convolutional neural networks (CNN...

Dec 2024 http://arxiv.org/abs/2412.17827v1

Inverting Transformer-based Vision Models

Understanding the mechanisms underlying deep neural networks in computer vision remains a fundamen...

Dec 2024 http://arxiv.org/abs/2412.06534v3

Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT

Ring artifacts are prevalent in 3D cone-beam computed tomography (CBCT) due to non-ideal responses...

Dec 2024 http://arxiv.org/abs/2412.05853v2

Learning Hidden Physics and System Parameters with Deep Operator Networks

Big data is transforming scientific progress by enabling the discovery of novel models, enhancing ...

Dec 2024 http://arxiv.org/abs/2412.05133v1

DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems

Inverse problems, which involve estimating parameters from incomplete or noisy observations, arise...

Dec 2024 http://arxiv.org/abs/2412.04766v2

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization

Diffusion models have recently demonstrated notable success in solving inverse problems. However, ...

Dec 2024 http://arxiv.org/abs/2412.03941v1

Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks

Glioblastoma is among the most aggressive brain tumors in adults, characterized by patient-specifi...

Dec 2024 http://arxiv.org/abs/2412.05330v2

AI-driven Inverse Design of Band-Tunable Mechanical Metastructures for Tailored Vibration Mitigation

On-demand vibration mitigation in a mechanical system needs the suitable design of multiscale meta...

Dec 2024 http://arxiv.org/abs/2412.12122v3

Efficient Model Compression Techniques with FishLeg

In many domains, the most successful AI models tend to be the largest, indeed often too large to b...

Dec 2024 http://arxiv.org/abs/2412.02328v1

Forward and Inverse Simulation of Pseudo-Two-Dimensional Model of Lithium-Ion Batteries Using Neural Networks

In this work, we address the challenges posed by the high nonlinearity of the Butler-Volmer (BV) e...

Dec 2024 http://arxiv.org/abs/2412.13200v2

Pruning the Path to Optimal Care: Identifying Systematically Suboptimal Medical Decision-Making with Inverse Reinforcement Learning

In aims to uncover insights into medical decision-making embedded within observational data from c...

Nov 2024 http://arxiv.org/abs/2411.05237v1

Bridge-IF: Learning Inverse Protein Folding with Markov Bridges

Inverse protein folding is a fundamental task in computational protein design, which aims to desig...

Nov 2024 http://arxiv.org/abs/2411.02120v1

Chasing Better Deep Image Priors between Over- and Under-parameterization

Deep Neural Networks (DNNs) are well-known to act as over-parameterized deep image priors (DIP) th...

Oct 2024 http://arxiv.org/abs/2410.24187v1

History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)

We propose a workflow based on physics-informed neural networks (PINNs) to model multiphase fluid ...

Oct 2024 http://arxiv.org/abs/2410.20801v2

Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

While large language models (LLMs) have integrated images, adapting them to graphs remains challen...

Oct 2024 http://arxiv.org/abs/2410.04223v1

Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning

Cycling has gained global popularity for its health benefits and positive urban impacts. To effect...

Sep 2024 http://arxiv.org/abs/2409.03148v2

Dermatology

Browse Categories

CPFI-EIT: A CNN-PINN Framework for Full-Inverse Electrical Impedance Tomography on Non-Smooth Conductivity Distributions

Inverting Transformer-based Vision Models

Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT

Learning Hidden Physics and System Parameters with Deep Operator Networks

DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization

Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks

AI-driven Inverse Design of Band-Tunable Mechanical Metastructures for Tailored Vibration Mitigation

Efficient Model Compression Techniques with FishLeg

Forward and Inverse Simulation of Pseudo-Two-Dimensional Model of Lithium-Ion Batteries Using Neural Networks

Pruning the Path to Optimal Care: Identifying Systematically Suboptimal Medical Decision-Making with Inverse Reinforcement Learning

Bridge-IF: Learning Inverse Protein Folding with Markov Bridges

Chasing Better Deep Image Priors between Over- and Under-parameterization

History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)

Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning

External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs.

Predicting the role of the human gut microbiome in type 1 diabetes using machine-learning methods.

Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations

Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network

Dynamic Inverse Reinforcement Learning for Feedback-driven Reward Estimation in Brain Machine Interface Tasks.

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