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Science Daily6d
Krakencoder predicts brain function 20x better than past methods
Scientists at Weill Cornell Medicine have developed a new algorithm, the Krakencoder, that merges multiple types of brain ...
syncedreview1y
Google & CMU’s Semantic Pyramid AutoEncoder Marks the First Successful Attempt for Multimodal Generation with Frozen LLMs
The abovementioned question however is under-explored and doesn’t gain much success. To bridge this gap, in a new paper SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs, a ...
IEEE2y
Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy
Abstract: Deep convolutional neural networks (DCNNs) have achieved surpassing success ... EAEPSO addresses the first limitation by designing an autoencoder to encode variable-length network ...
Frontiers2y
Trainable Communication Systems Based on the Binary Neural Network
Experimental results showed that the proposed BNN-based autoencoder system can achieve similar performance to existing ones based on convolutional neural networks (CNNs) and dense networks while ...
C&EN3y
Deep Convolutional Neural Network with Deconvolution and a Deep Autoencoder for Fault Detection and Diagnosis
A deep convolutional neural network with deconvolution and a deep autoencoder (DDD) is proposed. DDD assesses the process dynamics and the nonlinearity between process variables. During the operation ...
unite4y
What is an Autoencoder?
Similar to convolution neural networks, a convolutional autoencoder specializes in the learning of image data, and it uses a filter that is moved across the entire image section by section. The ...