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Learned complex masks for multi-instrument source separation


Mar 23, 2021
Andreas Jansson, Rachel M. Bittner, Nicola Montecchio, Tillman Weyde


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Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling


Mar 10, 2021
Radha Kopparti, Tillman Weyde

* 29 pages 

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Blissful Ignorance: Anti-Transfer Learning for Task Invariance


Jun 11, 2020
Eric Guizzo, Tillman Weyde, Giacomo Tarroni

* NeurIPS2020 

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Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals


Mar 06, 2020
Eric Guizzo, Tillman Weyde, Jack Barnett Leveson


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Making Good on LSTMs' Unfulfilled Promise


Dec 09, 2019
Daniel Philps, Artur d'Avila Garcez, Tillman Weyde

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. arXiv admin note: text overlap with arXiv:1812.02340 

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Making Good on LSTMs Unfulfilled Promise


Nov 23, 2019
Daniel Philps, Artur d'Avila Garcez, Tillman Weyde

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. arXiv admin note: text overlap with arXiv:1812.02340 

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Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy


Oct 22, 2019
Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde

* Paper submitted to ICASSP 2020 conference 

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An Ontology-based Approach to Explaining Artificial Neural Networks


Jun 19, 2019
Roberto Confalonieri, Fermín Moscoso del Prado, Sebastia Agramunt, Daniel Malagarriga, Daniele Faggion, Tillman Weyde, Tarek R. Besold


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Factors for the Generalisation of Identity Relations by Neural Networks


Jun 13, 2019
Radha Kopparti, Tillman Weyde

* ICML 2019 Workshop on Understanding and Improving Generalization in Deep Learning}, Long Beach, California, 2019 

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Continual Learning Augmented Investment Decisions


Dec 14, 2018
Daniel Philps, Tillman Weyde, Artur d'Avila Garcez, Roy Batchelor

* NeurIPS 2018 Workshop on Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy, Montreal, Canada. This is a non-archival publication - the authors may submit revisions and extensions of this paper to other publication venues 

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Modelling Identity Rules with Neural Networks


Dec 06, 2018
Tillman Weyde, Radha Manisha Kopparti


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Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations


Dec 04, 2018
Tillman Weyde, Radha Manisha Kopparti

* Relational Representation Learning Workshop, NeurIPS 2018 

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M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments


Dec 03, 2018
Tim Laibacher, Tillman Weyde, Sepehr Jalali


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Improved Speech Enhancement with the Wave-U-Net


Nov 27, 2018
Craig Macartney, Tillman Weyde

* 5 pages (including 1 for References), 1 figure, 2 tables 

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Linear-Time Sequence Classification using Restricted Boltzmann Machines


Mar 08, 2018
Son N. Tran, Srikanth Cherla, Artur Garcez, Tillman Weyde


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Generalising the Discriminative Restricted Boltzmann Machine


Apr 06, 2016
Srikanth Cherla, Son N Tran, Tillman Weyde, Artur d'Avila Garcez

* Submitted to ECML 2016 conference track 

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A Hybrid Recurrent Neural Network For Music Transcription


Nov 06, 2014
Siddharth Sigtia, Emmanouil Benetos, Nicolas Boulanger-Lewandowski, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon


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