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08/10/2023
ReLU and Addition-based Gated RNN
We replace the multiplication and sigmoid function of the conventional r...
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04/05/2023
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts
The concept of image similarity is ambiguous, meaning that images that a...
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02/08/2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions
Deep perceptual loss is a type of loss function in computer vision that ...
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01/24/2023
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons
With the expansion of AI-powered virtual assistants, there is a need for...
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10/20/2022
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions
Increasing complexity and data-generation rates in cyber-physical system...
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07/06/2022
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics
Measuring the similarity of images is a fundamental problem to computer ...
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12/11/2021
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry
In the process industry, condition monitoring systems with automated fau...
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06/10/2021
Spatiotemporal Spike-Pattern Selectivity in Single Mixed-Signal Neurons with Balanced Synapses
Realizing the potential of mixed-signal neuromorphic processors for ultr...
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03/16/2020
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
This work investigates three different loss functions for autoencoder-ba...
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02/12/2020
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor
Spiking neurons can perform spatiotemporal feature detection by nonlinea...
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01/10/2020
Improving Image Autoencoder Embeddings with Perceptual Loss
Autoencoders are commonly trained using element-wise loss. However, elem...
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06/28/2019
Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors
Spiking neural networks implemented in dynamic neuromorphic processors a...
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03/26/2019
Interoperability and machine-to-machine translation model with mappings to machine learning tasks
Modern large-scale automation systems integrate thousands to hundreds of...
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02/04/2019
Dictionary learning approach to monitoring of wind turbine drivetrain bearings
Condition monitoring is central to the efficient operation of wind farms...
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02/12/2015
