GitHub

iitimii/Gradient-Based-Reinforcement-Learning-Exploration

Coming from a deep learning background, I was familiar with the effectiveness of the gradient descent algorithm in optimizing neural networks for supervised learning tasks. This made me wonder: why is ...
IEEE

Natural Gradient Learning Algorithms for RBF Networks

Abstract: Radial basis function (RBF) networks are one of the most widely used models for function approximation and classification. There are many strange behaviors in the learning process of RBF ...
Frontiers

Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks

We present a Spiking Neural Network (SNN) model that incorporates learnable synaptic delays through two approaches: per-synapse delay learning via Dilated Convolutions with Learnable Spacings (DCLS) ...
IEEE

Deep Learning for Multi-Output Regression Using Gradient Boosting

Abstract: This paper presents a novel methodology to address multi-output regression problems through the incorporation of deep-neural networks and gradient boosting. The proposed approach involves ...
AlphaGalileo

Machine Learning-Guided Gradient Dual-Proton Conducting Catalytic Layers for High Temperature Proton Exchange Membrane Fuel Cells in Aviation

A new study published in Engineering by Xin Wang, Jian Yao, Jin Zhang and their colleagues proposes a machine-learning-guided strategy that combines ...