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Anchor Pruning for Object Detection


Apr 01, 2021
Maxim Bonnaerens, Matthias Freiberger, Joni Dambre


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PyTorch-Hebbian: facilitating local learning in a deep learning framework


Jan 31, 2021
Jules Talloen, Joni Dambre, Alexander Vandesompele

* Presented as a poster at the NeurIPS 2020 Beyond Backpropagation workshop 

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Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped


Apr 14, 2020
Alexander Vandesompele, Gabriel Urbain, Francis wyffels, Joni Dambre


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Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot


Mar 20, 2020
Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre, Francis wyffels


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Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping


Oct 25, 2019
Matthias Freiberger, Peter Bienstman, Joni Dambre

* Submitted to the IEEE International Conference on Rebooting Computing 2019; accepted as a poster, will not be presented though 

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A Differentiable Physics Engine for Deep Learning in Robotics


Nov 24, 2018
Jonas Degrave, Michiel Hermans, Joni Dambre, Francis wyffels

* Submitted for International Conference on Learning Representations 2017 

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BRUNO: A Deep Recurrent Model for Exchangeable Data


Oct 16, 2018
Iryna Korshunova, Jonas Degrave, Ferenc Huszár, Yarin Gal, Arthur Gretton, Joni Dambre

* NIPS 2018 

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Training Passive Photonic Reservoirs with Integrated Optical Readout


Oct 08, 2018
Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre

* Accepted for publication in IEEE Transactions on Neural Networks and Learning Systems (TNNLS-2017-P-8539.R1), copyright 2018 IEEE. This research was funded by the EU Horizon 2020 PHRESCO Grant (Grant No. 688579) and the BELSPO IAP P7-35 program [email protected] 11 pages, 9 figures 

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Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?


Aug 28, 2018
Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester

* Accepted at EMNLP 2018 

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Dual Rectified Linear Units (DReLUs): A Replacement for Tanh Activation Functions in Quasi-Recurrent Neural Networks


Oct 31, 2017
Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve


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Fast Face-swap Using Convolutional Neural Networks


Jul 27, 2017
Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis


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Improving Language Modeling using Densely Connected Recurrent Neural Networks


Jul 19, 2017
Fréderic Godin, Joni Dambre, Wesley De Neve

* Accepted at Workshop on Representation Learning, ACL2017 

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Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video


Feb 10, 2016
Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre


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Rotation-invariant convolutional neural networks for galaxy morphology prediction


Mar 24, 2015
Sander Dieleman, Kyle W. Willett, Joni Dambre

* Accepted for publication in MNRAS. 20 pages, 14 figures 

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Photonic Delay Systems as Machine Learning Implementations


Jan 12, 2015
Michiel Hermans, Miguel Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer

* Journal of Machine Learning Research, vol. 16, pp. 2081-2097 (2015) 

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Trainable and Dynamic Computing: Error Backpropagation through Physical Media


Jul 24, 2014
Michiel Hermans, Michaël Burm, Joni Dambre, Peter Bienstman


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Memristor models for machine learning


Jul 14, 2014
Juan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen

* 4 figures, no tables. Submitted to neural computation 

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Optoelectronic Reservoir Computing


Nov 30, 2011
Yvan Paquot, François Duport, Anteo Smerieri, Joni Dambre, Benjamin Schrauwen, Marc Haelterman, Serge Massar

* Scientific Reports 2, Article number: 287, (2012) 
* Contains main paper and two Supplementary Materials 

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