Search Results for author: James King

Found 6 papers, 2 papers with code

Continual Learning For On-Device Environmental Sound Classification

1 code implementation15 Jul 2022 Yang Xiao, Xubo Liu, James King, Arshdeep Singh, Eng Siong Chng, Mark D. Plumbley, Wenwu Wang

Experimental results on the DCASE 2019 Task 1 and ESC-50 dataset show that our proposed method outperforms baseline continual learning methods on classification accuracy and computational efficiency, indicating our method can efficiently and incrementally learn new classes without the catastrophic forgetting problem for on-device environmental sound classification.

Classification Continual Learning +1

An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution

no code implementations30 Sep 2021 James King, Ramon Viñas Torné, Alexander Campbell, Pietro Liò

Our paper compares the pre-upsampling AudioUNet to a new generative model that upsamples the signal before using deep learning to transform it into a more believable signal.

Audio Super-Resolution Image Super-Resolution

Quantum-Assisted Genetic Algorithm

no code implementations24 Jun 2019 James King, Masoud Mohseni, William Bernoudy, Alexandre Fréchette, Hossein Sadeghi, Sergei V. Isakov, Hartmut Neven, Mohammad H. Amin

Reverse annealing enables the development of genetic algorithms that use quantum fluctuation for mutations and classical mechanisms for the crossovers -- we refer to these as Quantum-Assisted Genetic Algorithms (QAGAs).

An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language

1 code implementation6 May 2019 Pramod Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso, James King, Michael Hines, Felix Schürmann

Here, we describe a new code generation framework (NMODL) for an existing DSL in the NEURON framework, a widely used software for massively parallel simulation of biophysically detailed brain tissue models.

Mathematical Software Neurons and Cognition

Accuracy of the Epic Sepsis Prediction Model in a Regional Health System

no code implementations19 Feb 2019 Tellen Bennett, Seth Russell, James King, Lisa Schilling, Chan Voong, Nancy Rogers, Bonnie Adrian, Nicholas Bruce, Debashis Ghosh

Interest in an electronic health record-based computational model that can accurately predict a patient's risk of sepsis at a given point in time has grown rapidly in the last several years.


Emulating the coherent Ising machine with a mean-field algorithm

no code implementations21 Jun 2018 Andrew D. King, William Bernoudy, James King, Andrew J. Berkley, Trevor Lanting

The coherent Ising machine is an optical processor that uses coherent laser pulses, but does not employ coherent quantum dynamics in a computational role.

Quantum Physics Emerging Technologies

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