How the brain learns and applies rules: Sequential neuronal dynamics in the prefrontal cortex

Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...
GitHub

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple ...

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IEEE

A Novel Method for Code Clone Detection Based on Minimally Random Kernel Convolutional Transform

Abstract: Effectively detecting code clones is essential for maintaining and evolving software systems. This paper introduces a novel approach that leverages minimally random kernel convolutional ...
IEEE

High-Rate Spatially Coupled LDPC Codes Based on Massey's Convolutional Self-Orthogonal Codes

Abstract: We propose a new class of high-rate spatially coupled LDPC (SC-LDPC) codes based on the convolutional selforthogonal codes (CSOCs) first introduced by Massey. The SCLDPC codes are ...
Scientific Research Publishing

Viterbi, A. (1967) Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm. IEEE Transactions on Information Theory, 13, 260-269.

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
GitHub

Maisi-v2 code related to the Contrastive loss

Thanks for open-sourcing this framework. I am trying to use it for generating images with tumors, and it’s been super helpful. I’m reading the maisi-v2 paper and looking for the contrastive loss it ...