Joni Dambre

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All published works

Action	Title	Year	Authors
+	Integrated photonic reservoir computing with an all-optical readout	2023	Chonghuai Ma Joris Van Kerrebrouck Hong Deng Stijn Sackesyn Emmanuel Gooskens Bing Bai Joni Dambre Peter Bienstman
+ PDF Chat	Machine translation from signed to spoken languages: state of the art and challenges	2023	Mathieu De Coster Dimitar Shterionov Mieke Van Herreweghe Joni Dambre
+	Integrated Photonic Reservoir Computing with All-Optical Readout	2023	Chonghuai Ma Joris Van Kerrebrouck Hong Deng Stijn Sackesyn Emmanuel Gooskens Bing Bai Joni Dambre Peter Bienstman
+	Towards the extraction of robust sign embeddings for low resource sign language recognition	2023	Mathieu De Coster Ellen Rushe R. B. Holmes Anthony Ventresque Joni Dambre
+	Learned Thresholds Token Merging and Pruning for Vision Transformers	2023	Maxim Bonnaerens Joni Dambre
+ PDF Chat	Hardware-Aware Mobile Building Block Evaluation for Computer Vision	2022	Maxim Bonnaerens Matthias Freiberger Marian Verhelst Joni Dambre
+	Anchor pruning for object detection	2022	Maxim Bonnaerens Matthias Freiberger Joni Dambre
+ PDF Chat	Modeling Electronic Response Properties with an Explicit-Electron Machine Learning Potential	2022	Maarten Cools‐Ceuppens Joni Dambre Toon Verstraelen
+	Machine Translation from Signed to Spoken Languages: State of the Art and Challenges	2022	Mathieu De Coster Dimitar Shterionov Mieke Van Herreweghe Joni Dambre
+	Hardware-aware mobile building block evaluation for computer vision	2022	Maxim Bonnaerens Matthias Freiberger Marian Verhelst Joni Dambre
+	PyTorch-Hebbian: facilitating local learning in a deep learning framework	2021	Jules Talloen Joni Dambre Alexander Vandesompele
+ PDF Chat	Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot	2020	Gabriel Urbain Victor Barasuol Claudio Semini Joni Dambre Francis wyffels
+	Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot	2020	G. Urbain Victor Barasuol Claudio Semini Joni Dambre Francis wyffels
+	Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping.	2019	Matthias Freiberger Peter Bienstman Joni Dambre
+ PDF Chat	Populations of spiking neurons for reservoir computing: Closed loop control of a compliant quadruped	2019	Alexander Vandesompele Gabriel Urbain Francis wyffels Joni Dambre
+ PDF Chat	A Differentiable Physics Engine for Deep Learning in Robotics	2019	Jonas Degrave Michiel Hermans Joni Dambre Francis wyffels
+	Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout	2019	Chonghuai Ma Floris Laporte Joni Dambre Peter Bienstman
+	Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping	2019	Matthias Freiberger Peter Bienstman Joni Dambre
+ PDF Chat	Training Passive Photonic Reservoirs With Integrated Optical Readout	2018	Matthias Freiberger Andrew Katumba Peter Bienstman Joni Dambre
+ PDF Chat	Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks	2018	Fréderic Godin Jonas Degrave Joni Dambre Wesley De Neve
+	Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?	2018	Fréderic Godin Kris Demuynck Joni Dambre Wesley De Neve Thomas Demeester
+	A Generative Deep Recurrent Model for Exchangeable Data	2018	Iryna Korshunova Jonas Degrave Ferenc Huszár Yarin Gal Arthur Gretton Joni Dambre
+	BRUNO: A Deep Recurrent Model for Exchangeable Data	2018	Iryna Korshunova Jonas Degrave Ferenc Huszár Yarin Gal Arthur Gretton Joni Dambre
+ PDF Chat	Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?	2018	Fréderic Godin Kris Demuynck Joni Dambre Wesley De Neve Thomas Demeester
+	Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?	2018	Fréderic Godin Kris Demuynck Joni Dambre Wesley De Neve Thomas Demeester
+	DReLUs: Dual Rectified Linear Units.	2017	Fréderic Godin Jonas Degrave Joni Dambre Wesley De Neve
+	Improving Language Modeling using Densely Connected Recurrent Neural Networks	2017	Fréderic Godin Joni Dambre Wesley De Neve
+	Improving Language Modeling using Densely Connected Recurrent Neural Networks	2017	Fréderic Godin Joni Dambre Wesley De Neve
+	Improving Language Modeling using Densely Connected Recurrent Neural Networks	2017	Fréderic Godin Joni Dambre Wesley De Neve
+	Fast Face-swap Using Convolutional Neural Networks	2016	Iryna Korshunova Wenzhe Shi Joni Dambre Lucas Theis
+	A Differentiable Physics Engine for Deep Learning in Robotics	2016	Jonas Degrave Michiel Hermans Joni Dambre Francis wyffels
+ PDF Chat	Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video	2016	Lionel Pigou Aäron van den Oord Sander Dieleman Mieke Van Herreweghe Joni Dambre
+	A Differentiable Physics Engine for Deep Learning in Robotics	2016	Jonas Degrave Michiel Hermans Joni Dambre Francis wyffels
+	Fast Face-swap Using Convolutional Neural Networks	2016	Iryna Korshunova Wenzhe Shi Joni Dambre Lucas Theis
+	Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video	2015	Lionel Pigou Aäron van den Oord Sander Dieleman Mieke Van Herreweghe Joni Dambre
+ PDF Chat	Rotation-invariant convolutional neural networks for galaxy morphology prediction	2015	Sander Dieleman Kyle Willett Joni Dambre
+ PDF Chat	Trainable hardware for dynamical computing using error backpropagation through physical media	2015	Michiel Hermans Michaël Burm Thomas Van Vaerenbergh Joni Dambre Peter Bienstman
+ PDF Chat	Memristor Models for Machine Learning	2015	Juan Pablo Carbajal Joni Dambre Michiel Hermans Benjamin Schrauwen
+	Photonic Delay Systems as Machine Learning Implementations	2015	Michiel Hermans Miguel C. Soriano Joni Dambre Peter Bienstman Ingo Fischer
+	Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video	2015	Lionel Pigou Aäron van den Oord Sander Dieleman Mieke Van Herreweghe Joni Dambre
+ PDF Chat	Optoelectronic Reservoir Computing	2012	Yvan Paquot François Duport Anteo Smerieri Joni Dambre Benjamin Schrauwen Marc Haelterman Serge Massar

Common Coauthors

Coauthor	Papers Together
Fréderic Godin	8
Peter Bienstman	8
Wesley De Neve	8
Jonas Degrave	7
Francis wyffels	6
Matthias Freiberger	6
Michiel Hermans	6
Mieke Van Herreweghe	5
Iryna Korshunova	4
Sander Dieleman	4
Maxim Bonnaerens	4
Kris Demuynck	3
Chonghuai Ma	3
Aäron van den Oord	3
Lionel Pigou	3
Thomas Demeester	3
Mathieu De Coster	3
Lucas Theis	2
Arthur Gretton	2
Joris Van Kerrebrouck	2
Gabriel Urbain	2
Claudio Semini	2
Marian Verhelst	2
Wenzhe Shi	2
Hong Deng	2
Yarin Gal	2
Ferenc Huszár	2
Emmanuel Gooskens	2
Benjamin Schrauwen	2
Bing Bai	2
Stijn Sackesyn	2
Victor Barasuol	2
Dimitar Shterionov	2
Alexander Vandesompele	2
Maarten Cools‐Ceuppens	1
Toon Verstraelen	1
Serge Massar	1
R. B. Holmes	1
G. Urbain	1
Yvan Paquot	1
Anthony Ventresque	1
Marc Haelterman	1
Floris Laporte	1
François Duport	1
Ellen Rushe	1
Kyle Willett	1
Michaël Burm	1
Anteo Smerieri	1
Juan Pablo Carbajal	1
Jules Talloen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	9
+	Theano: A Python framework for fast computation of mathematical expressions	2016	The Theano Development Team Rami Al‐Rfou Guillaume Alain Amjad Almahairi Christof Angermueller Dzmitry Bahdanau Nicolas Ballas Frédéric Bastien Justin Bayer Anatoly Belikov	4
+	Character-Aware Neural Language Models	2015	Yoon Kim Yacine Jernite David Sontag Alexander M. Rush	4
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	3
+ PDF Chat	Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation	2015	Ling Wang Chris Dyer Alan W. Black Isabel Trancoso Ramon Fermandez Silvio Amir Luís Marujo Tiago Luís	3
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	3
+	Exact solutions to the nonlinear dynamics of learning in deep linear neural networks	2013	Andrew Saxe James L. McClelland Surya Ganguli	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+ PDF Chat	Optoelectronic Reservoir Computing	2012	Yvan Paquot François Duport Anteo Smerieri Joni Dambre Benjamin Schrauwen Marc Haelterman Serge Massar	3
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	3
+	Spatially-sparse convolutional neural networks	2014	Benjamin Graham	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Recurrent Neural Network Regularization	2014	Wojciech Zaremba Ilya Sutskever Oriol Vinyals	2
+	Learning to Generate Reviews and Discovering Sentiment	2017	Alec Radford Rafał Józefowicz Ilya Sutskever	2
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	2
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+	Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights	2017	Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen	2
+ PDF Chat	Character-Aware Neural Language Models	2016	Yoon Kim Yacine Jernite David Sontag Alexander M. Rush	2
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	2
+	Understanding Neural Networks through Representation Erasure	2016	Jiwei Li Will Monroe Dan Jurafsky	2
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	2
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	2
+ PDF Chat	An Aerodynamic Optimization Method Based on the Inverse Problem Adjoint Equations	2001	Angelo Iollo Michele Ferlauto Luca Zannetti	2
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	2
+ PDF Chat	What do Neural Machine Translation Models Learn about Morphology?	2017	Yonatan Belinkov Nadir Durrani Fahim Dalvi Hassan Sajjad James Glass	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	2
+	New results on recurrent network training: unifying the algorithms and accelerating convergence	2000	Amir F. Atiya A.G. Parlos	2
+ PDF Chat	Squeeze-and-Excitation Networks	2018	Jie Hu Li Shen Gang Sun	2
+ PDF Chat	Representation of Linguistic Form and Function in Recurrent Neural Networks	2017	Ákos Kádár Grzegorz Chrupała Afra Alishahi	2
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	2
+ PDF Chat	Long-term recurrent convolutional networks for visual recognition and description	2015	Jeff Donahue Lisa Anne Hendricks Sergio Guadarrama Marcus Rohrbach Subhashini Venugopalan Trevor Darrell Kate Saenko	2
+ PDF Chat	DeepPose: Human Pose Estimation via Deep Neural Networks	2014	Alexander Toshev Christian Szegedy	2
+ PDF Chat	MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation	2015	Arjun Jain Jonathan Tompson Yann LeCun Christoph Bregler	2
+	Student-t Processes as Alternatives to Gaussian Processes	2014	Amar Shah Andrew Gordon Wilson Zoubin Ghahramani	2
+	Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs	2018	William J. Murdoch Peter J. Liu Bin Yu	2
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	2012	Khurram Soomro Amir Zamir Mubarak Shah	2
+	Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model	2016	Paul F. Christiano Zain Shah Igor Mordatch Jonas Schneider Trevor Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba	2
+ PDF Chat	Representations of language in a model of visually grounded speech signal	2017	Grzegorz Chrupała Lieke Gelderloos Afra Alishahi	2
+ PDF Chat	Galaxy Zoo 1: data release of morphological classifications for nearly 900 000 galaxies★	2010	Chris Lintott Kevin Schawinski S. P. Bamford Anže Slosar Kate Land D. Thomas Edd Edmondson Karen L. Masters R. C. Nichol M. Jordan Raddick	1
+ PDF Chat	Beyond short snippets: Deep networks for video classification	2015	Joe Yue-Hei Ng Matthew Hausknecht Sudheendra Vijayanarasimhan Oriol Vinyals Rajat Monga George Toderici	1
+	A Simple Way to Initialize Recurrent Networks of Rectified Linear Units	2015	Quoc V. Le Navdeep Jaitly Geoffrey E. Hinton	1
+	Deep Speech: Scaling up end-to-end speech recognition	2014	Awni Hannun Carl Case Jared Casper Bryan Catanzaro Greg Diamos Erich Elsen Ryan Prenger Sanjeev Satheesh Shubho Sengupta Adam Coates	1
+	Empirical Evaluation of Rectified Activations in Convolutional Network	2015	Bing Xu Naiyan Wang Tianqi Chen Mu Li	1
+	Grid Long Short-Term Memory	2015	Nal Kalchbrenner Ivo Danihelka Alex Graves	1
+	Rank-Deficient and Discrete Ill-Posed Problems	1998	Per Christian Hansen	1
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1