AlphaGalileo

Interpretability in deep learning for finance: A case study for the Heston model

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
IEEE

A Convolutional Neural Network to Spiking Neural Network Conversion Framework for Seismic ...

Abstract: This study investigates the application of Spiking Neural Network (SNN) in seismic signal denoising by developing a Convolutional Neural Network (CNN) to SNN conversion framework. We focus ...
Frontiers

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...
Frontiers

BlendNet: a blending-based convolutional neural network for effective deep learning of ...

School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India Introduction: In recent years, Deep Learning (DL) architectures such as Convolutional Neural Network (CNN) ...
IEEE

Quaternion Convolutional Neural Networks for Image Classification

Abstract: In recent years, real-valued neural networks have made significant progress in computer vision tasks such as image classification, object detection, and semantic segmentation. However, ...
来自MSN

Network in Network Deep Neural Network Explained with PyTorch

Learn about the Network in Network architecture and its impact on improving performance in deep neural networks using PyTorch. ‘Slap in the Face’: Court Ruling on Gun Law Sparks Fury Mom Worried If ...
C&EN

DeePMD-GNN: A DeePMD-kit Plugin for External Graph Neural Network Potentials

Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway, New Jersey 08854, United ...