Latest Articles for Activation Functions

Computer Vision and Pattern Recognition MetaMixer: A New Approach to Data Processing

Discover how MetaMixer transforms model efficiency and adaptability.

2025-08-02T08:14:30+00:00 ― 6 min read

Machine Learning Advancements in Sparse Autoencoders for Language Models

This article explores improvements in sparse autoencoders and their impact on language understanding.

2025-08-01T09:19:54+00:00 ― 7 min read

Numerical Analysis Addressing Discretization Error in Fourier Neural Operators

Analyzing and mitigating discretization errors in Fourier Neural Operators for better predictions.

2025-07-29T19:33:54+00:00 ― 6 min read

Machine Learning Analyzing Separation Power in Equivariant Neural Networks

A look into how equivariant networks distinguish between inputs effectively.

2025-07-29T04:42:06+00:00 ― 6 min read

Machine Learning Advancements in Surrogate Gradient Learning for Neural Networks

A study on improving neural network training with non-differentiable activation functions.

2025-07-27T05:48:48+00:00 ― 6 min read

Statistical Mechanics The Impact of Noise on Transport Networks

Analyzing how noise influences the efficiency of transport systems.

2025-07-23T09:02:00+00:00 ― 7 min read

Machine Learning The Evolving Role of RNNs in Temporal Point Processes

An analysis of RNN-TPPs and their impact on event prediction accuracy.

2025-07-21T06:17:20+00:00 ― 7 min read

Machine Learning SineKAN: A New Era in Neural Networks

SineKAN offers improved speed and performance using sine functions in neural networks.

2025-07-19T14:48:42+00:00 ― 4 min read

Machine Learning The Mechanics of Neural Networks

A clear look at how neural networks work and their significance in data representation.

2025-07-14T22:24:15+00:00 ― 5 min read

Machine Learning Introducing DropKAN: A New Approach for KANs

DropKAN improves KANs' performance by addressing Dropout issues.

2025-07-12T00:27:12+00:00 ― 5 min read

Machine Learning Introducing PSVAE: A New Approach to Synthetic Data Generation

PSVAE offers a faster method for creating high-quality synthetic tabular data.

2025-07-11T23:47:42+00:00 ― 5 min read

General Economics Deep Learning's Role in Economic Analysis

Discover how deep learning aids economists in analyzing complex data.

2025-07-11T04:29:02+00:00 ― 5 min read

Machine Learning Comparing Kolmogorov–Arnold Networks and Multi-Layer Perceptrons

A look at the strengths and weaknesses of KANs and MLPs in machine learning.

2025-07-08T09:41:06+00:00 ― 5 min read

Hardware Architecture Understanding Convolutional Neural Networks in AI

A guide to how CNNs enhance image processing and recognition.

2025-07-06T21:04:54+00:00 ― 5 min read

Artificial Intelligence Advancing Neural Networks with Graded Vector Spaces

A new approach to improve neural networks using graded vector spaces.

2025-07-06T15:09:24+00:00 ― 5 min read

Neural and Evolutionary Computing CAReLU: A Shift in Activation Functions

CAReLU enhances learning by balancing positive and negative values in deep learning models.

2025-07-05T20:59:12+00:00 ― 5 min read

Machine Learning Improving Kolmogorov-Arnold Networks with Averaging

Averaging enhances KANs' performance and stability in machine learning tasks.

2025-07-04T19:42:24+00:00 ― 6 min read

Machine Learning Graph Convolutional Networks: An Overview

Discover how Graph Convolutional Networks analyze complex data in various fields.

2025-07-03T07:29:54+00:00 ― 5 min read

Machine Learning Kolmogorov-Arnold Networks: A New Path in Reinforcement Learning

Exploring KANs as a new approach for efficient reinforcement learning models.

2025-06-30T17:21:06+00:00 ― 6 min read

Machine Learning Finding Better Activation Functions for Deep Learning

A new method improves activation function search for deep learning models.

2025-06-28T11:30:00+00:00 ― 7 min read

Disordered Systems and Neural Networks Neural Networks and Spin Models: A Unique Connection

Exploring the relationship between neural networks and spin models during training.

2025-06-24T20:18:06+00:00 ― 6 min read

Machine Learning The Role of Polynomial Neural Networks in Machine Learning

Exploring polynomial neural networks and their applications in various fields.

2025-06-21T01:09:24+00:00 ― 5 min read

Machine Learning Advancements in Quaternion-Valued Convolutional Neural Networks

Analyzing the impact of quaternion-based components on image classification performance.

2025-06-20T12:58:42+00:00 ― 5 min read

Machine Learning Applying Deep Learning to Differential Equations

An overview of how deep learning methods tackle differential equations.

2025-06-19T03:52:05+00:00 ― 6 min read

Machine Learning Efficiency in Quantized Neural Networks

This study examines performance and conditions for quantized neural networks under fixed-point arithmetic.

2025-06-12T03:32:20+00:00 ― 6 min read

Computer Vision and Pattern Recognition Improving Implicit Neural Representations with SL A-INR Method

A new approach enhances image and shape representation using a learnable activation function.

2025-06-11T14:21:42+00:00 ― 6 min read

Machine Learning Introducing the Kolmogorov-Arnold Transformer Model

KAT improves deep learning by using advanced KANs to replace MLPs.

2025-06-11T11:04:12+00:00 ― 5 min read

Machine Learning Improving Machine Learning with Iterative Thresholding

A method to enhance machine learning models dealing with corrupted data.

2025-06-09T08:47:00+00:00 ― 5 min read

Machine Learning Tuning Neural Networks: A Look at Hyperparameters

Learn how hyperparameters affect neural network performance and complexity.

2025-06-06T18:45:30+00:00 ― 4 min read

Computation and Language The Rise of Small Language Models

Small language models are changing how technology works in everyday devices.

2025-06-06T10:35:42+00:00 ― 7 min read

Machine Learning Comparing Neural Networks: MLPs vs. KANs

This article examines MLPs and KANs in low-data environments.

2025-06-03T21:46:32+00:00 ― 7 min read

Machine Learning Introducing Zorro Activation Functions for Neural Networks

Zorro functions provide smooth solutions for enhanced neural network performance.

2025-06-03T16:37:48+00:00 ― 5 min read

Machine Learning Understanding Neural Network Reconstruction Techniques

Learn about how to reconstruct neural networks and its implications.

2025-05-31T14:37:18+00:00 ― 5 min read

Neuroscience Understanding Recurrent Neural Networks: Insights and Applications

Explore how RNNs mimic brain functions in problem-solving tasks.

2025-05-30T13:31:56+00:00 ― 6 min read

Computation and Language The Role of Polynomial Composition Activations in Machine Learning

Discover the impact of PolyCom on neural networks and their performance.

2025-05-29T08:29:51+00:00 ― 6 min read

Machine Learning Kolmogorov-Arnold Networks: A New Approach

KANs offer flexibility and efficiency in machine learning compared to MLPs.

2025-05-29T00:27:00+00:00 ― 5 min read

Applications Using Machine Learning to Predict Mortality in Older Adults

This study examines mortality prediction in older adults using a 1D-CNN model.

2025-05-26T07:05:58+00:00 ― 8 min read

Neurons and Cognition Understanding Memory Through Firing Rate Models

A look at how firing rate models explain memory formation and retrieval.

2025-05-23T20:56:20+00:00 ― 7 min read

Machine Learning Addressing the Dying ReLU Problem with HeLU

HeLU activation function solves ReLU’s limitations for deep learning models.

2025-05-22T20:46:03+00:00 ― 6 min read

Machine Learning Understanding Activation Sparsity in Language Models

Exploring activation sparsity to improve language model efficiency.

2025-05-22T17:42:42+00:00 ― 5 min read