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07/24/2023
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding
The training of multilayer spiking neural networks (SNNs) using the erro...
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01/23/2023
Learning Reservoir Dynamics with Temporal Self-Modulation
Reservoir computing (RC) can efficiently process time-series data by tra...
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12/03/2022
High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems
Non-orthogonal multiple access (NOMA) technique is important for achievi...
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11/29/2022
Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions
We propose a novel backpropagation algorithm for training spiking neural...
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12/22/2021
Entropic Herding
Herding is a deterministic algorithm used to generate data points that c...
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08/21/2021
Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics
Machine learning approaches have recently been leveraged as a substitute...
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06/18/2021
Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks
The spiking neural network (SNN) has been attracting considerable attent...
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06/11/2020
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time
Reservoir computing (RC) is a machine learning algorithm that can learn ...
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01/08/2020
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design
Spiking neural networks (SNNs) are brain-inspired mathematical models wi...
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08/19/2019
Quantum Expectation-Maximization Algorithm
Clustering algorithms are a cornerstone of machine learning applications...
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07/02/2019
Forecasting high-dimensional dynamics exploiting suboptimal embeddings
Delay embedding---a method for reconstructing dynamical systems by delay...
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05/23/2019
Fully Neural Network based Model for General Temporal Point Processes
A temporal point process is a mathematical model for a time series of di...
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12/19/2013
Approximated Infomax Early Stopping: Revisiting Gaussian RBMs on Natural Images
We pursue an early stopping technique that helps Gaussian Restricted Bol...
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01/15/2013
