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07/28/2023
Universal Recurrent Event Memories for Streaming Data
In this paper, we propose a new event memory architecture (MemNet) for r...
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07/28/2023
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks
In recurrent neural networks, learning long-term dependency is the main ...
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01/16/2023
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
We propose causal recurrent variational autoencoder (CR-VAE), a novel ge...
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02/27/2022
Hierarchical Linear Dynamical System for Representing Notes from Recorded Audio
We seek to develop simultaneous segmentation and classification of notes...
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08/29/2021
Uncertainty quantification for multiclass data description
In this manuscript, we propose a multiclass data description model based...
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05/12/2020
Modularizing Deep Learning via Pairwise Learning With Kernels
By redefining the conventional notions of layers, we present an alternat...
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09/25/2019
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels
Analyzing deep neural networks (DNNs) via information plane (IP) theory ...
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05/01/2018
A Taxonomy for Neural Memory Networks
In this paper, a taxonomy for memory networks is proposed based on their...
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02/11/2018
Learning Multiple Levels of Representations with Kernel Machines
We propose a connectionist-inspired kernel machine model with three key ...
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05/03/2017
Marine Animal Classification with Correntropy Loss Based Multi-view Learning
To analyze marine animals behavior, seasonal distribution and abundance,...
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12/13/2011