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12/20/2021
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time
The event-driven and sparse nature of communication between spiking neur...
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03/12/2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
Inspired by more detailed modeling of biological neurons, Spiking neural...
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11/23/2020
Reduced Order Modeling for Parameterized Time-Dependent PDEs using Spatially and Memory Aware Deep Learning
We present a novel reduced order model (ROM) approach for parameterized ...
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05/24/2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks
The emergence of brain-inspired neuromorphic computing as a paradigm for...
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09/16/2019
MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations
Extracting and binding salient information from different sensory modali...
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02/18/2019
LocalNorm: Robust Image Classification through Dynamically Regularized Normalization
While modern convolutional neural networks achieve outstanding accuracy ...
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02/14/2019
Generalisation in fully-connected neural networks for time series forecasting
In this paper we study the generalisation capabilities of fully-connecte...
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01/25/2019
Pricing options and computing implied volatilities using neural networks
This paper proposes a data-driven approach, by means of an Artificial Ne...
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09/07/2016
Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks
Biological neurons communicate with a sparing exchange of pulses - spike...
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10/29/2010