Generalizing Deep Learning Models for Varied Diffusion Equations

21 Jun 2024

Explore the challenges and strategies in selecting neural networks, advancing deep learning benchmarks, and generalizing models for varied diffusion equations

Optimizing Data Set Size and Loss Functions for Enhanced Neural Network Performance

21 Jun 2024

Discover insights on deep diffusion surrogates, NN architectures, loss functions, and data set optimization for enhanced performance in multiscale modeling

Understanding Factors Affecting Neural Network Performance in Diffusion Prediction

21 Jun 2024

Explore the impact of loss functions and data set sizes on neural network performance in diffusion prediction models.

Architecting Neural Networks for Diffusion Prediction: A Study on Encoder-Decoder CNNs

21 Jun 2024

Explore the use of encoder-decoder CNNs in predicting stationary solutions for diffusion equations, with insights on loss functions and training strategies.

Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation

21 Jun 2024

Discover how encoder-decoder CNNs serve as efficient surrogates for diffusion solvers, improving computational speed and model performance.

The Future of AI in Finance

16 Jun 2024

Discover FinRL, an open-source framework revolutionizing AI in finance with Deep Reinforcement Learning.

FinRL's Implementation of DRL Algorithms for Stock Trading

16 Jun 2024

Explore FinRL's use case for stock trading, implementing an ensemble strategy with three DRL algorithms.

End-to-End Solutions for Cryptocurrency Trading

16 Jun 2024

Discover FinRL's use cases for portfolio allocation and cryptocurrency trading

Deep Neural Networks to Detect and Quantify Lymphoma Lesions: Results

12 Jun 2024

This study performs comprehensive evaluation of four neural network architectures for lymphoma lesion segmentation from PET/CT images.