Joni Dambre

According to our database, Joni Dambre authored at least 95 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine translation from signed to spoken languages: state of the art and challenges.

Mathieu De Coster, Dimitar Shterionov, Mieke Van Herreweghe, Joni Dambre

Univers. Access Inf. Soc., August, 2024

SignON - a Co-creative Machine Translation for Sign and Spoken Languages (end-of-project results, contributions and lessons learned).

Dimitar Shterionov, Vincent Vandeghinste, Mirella De Sisto, Aoife Brady, Mathieu De Coster, Lorraine Leeson, Andy Way, Josep Blat, Frankie Picron, Davy Van Landuyt, Marcello Paolo Scipioni, Aditya Parikh, Louis ten Bosch, John O'Flaherty, Joni Dambre, Caro Brosens, Jorn Rijckaert, Víctor Ubieto Nogales, Bram Vanroy, Santiago Egea Gómez, Ineke Schuurman, Gorka Labaka, Adrián Núñez-Marcos, Irene Murtagh, Euan McGill, Horacio Saggion

Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), 2024

2023

Learned Thresholds Token Merging and Pruning for Vision Transformers.

Maxim Bonnaerens, Joni Dambre

Trans. Mach. Learn. Res., 2023

Towards the extraction of robust sign embeddings for low resource sign language recognition.

Mathieu De Coster, Ellen Rushe, Ruth Holmes, Anthony Ventresque, Joni Dambre

CoRR, 2023

A Bio-Inspired Model for Audio Processing.

Tanguy Cazalets, Joni Dambre

Proceedings of the International Conference on Computing and Communication Technologies, 2023

Delay-Sensitive Local Plasticity in Echo State Networks.

Stefan Iacob, Spyridon Chavlis, Panayiota Poirazi, Joni Dambre

Proceedings of the International Joint Conference on Neural Networks, 2023

An homeostatic activity-dependent structural plasticity algorithm for richer input combination.

Tanguy Cazalets, Joni Dambre

Proceedings of the International Joint Conference on Neural Networks, 2023

Querying A Sign Language Dictionary with Videos Using Dense Vector Search.

Mathieu De Coster, Joni Dambre

Proceedings of the IEEE International Conference on Acoustics, 2023

Trends and Challenges for Sign Language Recognition with Machine Learning.

Jérôme Fink, Mathieu De Coster, Joni Dambre, Benoît Frénay

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

SignON: Sign Language Translation. Progress and challenges.

Vincent Vandeghinste, Dimitar Shterionov, Mirella De Sisto, Aoife Brady, Mathieu De Coster, Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Paolo Scipioni, Aditya Parikh, Louis ten Bosch, John O'Flaherty, Joni Dambre, Jorn Rijckaert, Bram Vanroy, Víctor Ubieto Nogales, Santiago Egea Gómez, Ineke Schuurman, Gorka Labaka, Adrián Núñez-Marcos, Irene Murtagh, Euan McGill, Horacio Saggion

Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

2022

Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation.

Mathieu De Coster, Joni Dambre

Inf., 2022

Anchor pruning for object detection.

Maxim Bonnaerens, Matthias Freiberger, Joni Dambre

Comput. Vis. Image Underst., 2022

Hardware-aware mobile building block evaluation for computer vision.

Maxim Bonnaerens, Matthias Freiberger, Marian Verhelst, Joni Dambre

CoRR, 2022

Distance-Based Delays in Echo State Networks.

Stefan Iacob, Matthias Freiberger, Joni Dambre

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project.

Dimitar Shterionov, Mirella De Sisto, Vincent Vandeghinste, Aoife Brady, Mathieu De Coster, Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Paolo Scipioni, Aditya Parikh, Louis ten Bosch, John O'Flaherty, Joni Dambre, Jorn Rijckaert

Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

2021

Computing with Integrated Photonic Reservoirs.

Joni Dambre, Andrew Katumba, Chonghuai Ma, Stijn Sackesyn, Floris Laporte, Matthias Freiberger, Peter Bienstman

Proceedings of the Reservoir Computing, 2021

Analysis of Attention in Child-Robot Interaction Among Children Diagnosed with Cognitive Impairment.

Luthffi Idzhar Ismail, Fazah Akhtar Hanapiah, Tony Belpaeme, Joni Dambre, Francis Wyffels

Int. J. Soc. Robotics, 2021

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

Jules Talloen, Joni Dambre, Alexander Vandesompele

CoRR, 2021

Effect of compliance on morphological control of dynamic locomotion with HyQ.

Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre, Francis Wyffels

Auton. Robots, 2021

Frozen Pretrained Transformers for Neural Sign Language Translation.

Mathieu De Coster, Karel D'Oosterlinck, Marija Pizurica, Paloma Rabaey, Severine Verlinden, Mieke Van Herreweghe, Joni Dambre

Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages, 2021

Experimental Demonstration of Nonlinear fibre Distortion Compensation with Integrated Photonic Reservoir Computing.

Stijn Sackesyn, Chonghuai Ma, Joni Dambre, Peter Bienstman

Proceedings of the European Conference on Optical Communication, 2021

Isolated Sign Recognition From RGB Video Using Pose Flow and Self-Attention.

Mathieu De Coster, Mieke Van Herreweghe, Joni Dambre

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

cREAtIve: reconfigurable embedded artificial intelligence.

Poona Bahrebar, Leon Denis, Maxim Bonnaerens, Kristof Coddens, Joni Dambre, Wouter Favoreel, Illia Khvastunov, Adrian Munteanu, Hung Nguyen-Duc, Stefan Schulte, Dirk Stroobandt, Ramses Valvekens, Nick Van den Broeck, Geert Verbruggen

Proceedings of the CF '21: Computing Frontiers Conference, 2021

2020

Conditional BRUNO: A neural process for exchangeable labelled data.

Iryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre

Neurocomputing, 2020

Sign Language Recognition with Transformer Networks.

Mathieu De Coster, Mieke Van Herreweghe, Joni Dambre

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

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

Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre, Francis Wyffels

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Dendritic Computation in a Point Neuron Model.

Alexander Vandesompele, Francis Wyffels, Joni Dambre

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Self-organized dynamic attractors in recurrent neural networks.

Benedikt Vettelschoss, Matthias Freiberger, Joni Dambre

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Training Passive Photonic Reservoirs With Integrated Optical Readout.

Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre

IEEE Trans. Neural Networks Learn. Syst., 2019

Leveraging Robotics Research for Children with Autism: A Review.

Luthffi Idzhar Ismail, Thibault Verhoeven, Joni Dambre, Francis Wyffels

Int. J. Soc. Robotics, 2019

Body Randomization Reduces the Sim-to-Real Gap for Compliant Quadruped Locomotion.

Alexander Vandesompele, Gabriel Urbain, Hossain Mahmud, Francis Wyffels, Joni Dambre

Frontiers Neurorobotics, 2019

Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion.

Elisa Massi, Lorenzo Vannucci, Ugo Albanese, Marie Claire Capolei, Alexander Vandesompele, Gabriel Urbain, Angelo Maria Sabatini, Joni Dambre, Cecilia Laschi, Silvia Tolu, Egidio Falotico

Frontiers Neurorobotics, 2019

A Differentiable Physics Engine for Deep Learning in Robotics.

Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels

Frontiers Neurorobotics, 2019

Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping.

Matthias Freiberger, Peter Bienstman, Joni Dambre

CoRR, 2019

Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout.

Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman

CoRR, 2019

Populations of spiking neurons for reservoir computing: Closed loop control of a compliant quadruped.

Alexander Vandesompele, Gabriel Urbain, Francis Wyffels, Joni Dambre

Cogn. Syst. Res., 2019

All-Optical Readout for Integrated Photonic Reservoir Computing.

Chonghuai Ma, Stijn Sackesyn, Joni Dambre, Peter Bienstman

Proceedings of the 21st International Conference on Transparent Optical Networks, 2019

A Power-Efficient Architecture for On-Chip Reservoir Computing.

Stijn Sackesyn, Chonghuai Ma, Andrew Katumba, Joni Dambre, Peter Bienstman

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Closed Loop Control of a Compliant Quadruped with Spiking Neural Networks.

Alexander Vandesompele, Gabriel Urbain, Francis Wyffels, Joni Dambre

Proceedings of the Biologically Inspired Cognitive Architectures 2019, 2019

2018

Towards Improved Design and Evaluation of Epileptic Seizure Predictors.

Iryna Korshunova, Pieter-Jan Kindermans, Jonas Degrave, Thibault Verhoeven, Benjamin H. Brinkmann, Joni Dambre

IEEE Trans. Biomed. Eng., 2018

Dual Rectified Linear Units (DReLUs): A replacement for <i>tanh</i> activation functions in Quasi-Recurrent Neural Networks.

Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve

Pattern Recognit. Lett., 2018

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

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

Int. J. Comput. Vis., 2018

Calibration Method to Improve Transfer from Simulation to Quadruped Robots.

Gabriel Urbain, Alexander Vandesompele, Francis Wyffels, Joni Dambre

Proceedings of the From Animals to Animats 15, 2018

Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing.

Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan

Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

BRUNO: A Deep Recurrent Model for Exchangeable Data.

Iryna Korshunova, Jonas Degrave, Ferenc Huszar, Yarin Gal, Arthur Gretton, Joni Dambre

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Integrated Dielectric Scatterers for Speeding up Classification of Cell Diffraction Patterns.

Alessio Lugnan, Joni Dambre, Peter Bienstman

Proceedings of the 2018 20th International Conference on Transparent Optical Networks (ICTON), 2018

Neuromorphic Computing with Signal-Mixing Cavities.

Floris Laporte, Joni Dambre, Peter Bienstman

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

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

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

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (Invited).

Andrew Katumba, Xin Yin, Joni Dambre, Peter Bienstman

Proceedings of the European Conference on Optical Communication, 2018

2017

Morphological Properties of Mass-Spring Networks for Optimal Locomotion Learning.

Gabriel Urbain, Jonas Degrave, Benonie Carette, Joni Dambre, Francis Wyffels

Frontiers Neurorobotics, 2017

DReLUs: Dual Rectified Linear Units.

Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve

CoRR, 2017

A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing.

Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre

Cogn. Comput., 2017

Improving Language Modeling using Densely Connected Recurrent Neural Networks.

Fréderic Godin, Joni Dambre, Wesley De Neve

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Reservoir computing with signal-mixing cavities.

Floris Laporte, Joni Dambre, Peter Bienstman

Proceedings of the 2017 19th International Conference on Transparent Optical Networks (ICTON), 2017

On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout.

Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

Gesture and Sign Language Recognition with Temporal Residual Networks.

Lionel Pigou, Mieke Van Herreweghe, Joni Dambre

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Fast Face-Swap Using Convolutional Neural Networks.

Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems.

Bendix Schneider, Joni Dambre, Peter Bienstman

IEEE Trans. Neural Networks Learn. Syst., 2016

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition.

Di Wu, Lionel Pigou, Pieter-Jan Kindermans, Nam Do-Hoang Le, Ling Shao, Joni Dambre, Jean-Marc Odobez

IEEE Trans. Pattern Anal. Mach. Intell., 2016

An integrated Photonics Reservoir Computing approach to signal equalization for telecommunications.

Andrew Katumba, Bendix Schneider, Joni Dambre, Peter Bienstman

Proceedings of the 18th International Conference on Transparent Optical Networks, 2016

Spatial Chirp-Z Transformer Networks.

Jonas Degrave, Sander Dieleman, Joni Dambre, Francis Wyffels

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Optoelectronic Systems Trained With Backpropagation Through Time.

Michiel Hermans, Joni Dambre, Peter Bienstman

IEEE Trans. Neural Networks Learn. Syst., 2015

Memristor Models for Machine Learning.

Juan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen

Neural Comput., 2015

Photonic delay systems as machine learning implementations.

Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer

J. Mach. Learn. Res., 2015

Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics.

Jeroen Burms, Ken Caluwaerts, Joni Dambre

Frontiers Neurorobotics, 2015

Rotation-invariant convolutional neural networks for galaxy morphology prediction.

Sander Dieleman, Kyle W. Willett, Joni Dambre

CoRR, 2015

Transfer learning of gaits on a quadrupedal robot.

Jonas Degrave, Michael Burm, Pieter-Jan Kindermans, Joni Dambre, Francis Wyffels

Adapt. Behav., 2015

Photonic reservoir computing approaches to nanoscale computation.

Andrew Katumba, Peter Bienstman, Joni Dambre

Proceedings of the Second Annual International Conference on Nanoscale Computing and Communication, 2015

Developing an embodied gait on a compliant quadrupedal robot.

Jonas Degrave, Ken Caluwaerts, Joni Dambre, Francis Wyffels

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Neural network for blood cell classification in a holographic microscopy system.

Bendix Schneider, Geert Vanmeerbeeck, Richard Stahl, Liesbet Lagae, Joni Dambre, Peter Bienstman

Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networks.

Jeroen Burms, Ken Caluwaerts, Joni Dambre

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns.

Martin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman

IEEE Trans. Neural Networks Learn. Syst., 2014

Trainable and Dynamic Computing: Error Backpropagation through Physical Media.

Michiel Hermans, Michael Burm, Joni Dambre, Peter Bienstman

CoRR, 2014

2013

Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression.

Pieter Buteneers, Ken Caluwaerts, Joni Dambre, David Verstraeten, Benjamin Schrauwen

Neural Process. Lett., 2013

Recent advances in optical Reservoir Computing.

François Duport, Anteo Smerieri, Yvan Paquot, Bendix Schneider, Joni Dambre, Benjamin Schrauwen, Marc Haelterman, Serge Massar

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

2011

Parallel Reservoir Computing Using Optical Amplifiers.

Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen, Peter Bienstman

IEEE Trans. Neural Networks, 2011

Optoelectronic Reservoir Computing

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

CoRR, 2011

2010

Memory versus non-linearity in reservoirs.

David Verstraeten, Joni Dambre, Xavier Dutoit, Benjamin Schrauwen

Proceedings of the International Joint Conference on Neural Networks, 2010

2008

Predicting the performance of reconfigurable optical interconnects in distributed shared-memory systems.

Wim Heirman, Joni Dambre, Iñigo Artundo, Christof Debaes, Hugo Thienpont, Dirk Stroobandt, Jan Van Campenhout

Photonic Netw. Commun., 2008

Rent's rule and parallel programs: characterizing network traffic behavior.

Wim Heirman, Joni Dambre, Dirk Stroobandt, Jan M. Van Campenhout

Proceedings of the Tenth International Workshop on System-Level Interconnect Prediction (SLIP 2008), 2008

2007

Systematic Simulation-Based Predictive Synthesis of Integrated Optical Interconnect.

Ian O'Connor, Faress Tissafi-Drissi, Frédéric Gaffiot, Joni Dambre, Michiel De Wilde, Jan Van Campenhout, Dries Van Thourhout, Dirk Stroobandt

IEEE Trans. Very Large Scale Integr. Syst., 2007

Predicting reconfigurable interconnect performance in distributed shared-memory systems.

Wim Heirman, Joni Dambre, Iñigo Artundo, Christof Debaes, Hugo Thienpont, Dirk Stroobandt, Jan M. Van Campenhout

Integr., 2007

Synthetic traffic generation as a tool for dynamic interconnect evaluation.

Wim Heirman, Joni Dambre, Jan Van Campenhout

Proceedings of the Ninth International Workshop on System-Level Interconnect Prediction (SLIP 2007), 2007

2006

Congestion modeling for reconfigurable inter-processor networks.

Wim Heirman, Joni Dambre, Jan M. Van Campenhout

Proceedings of the Eigth International Workshop on System-Level Interconnect Prediction (SLIP 2006), 2006

Reconfigurable Interconnects in DSM Systems: A Focus on Context Switch Behavior.

Iñigo Artundo, Daniel Manjarres, Wim Heirman, Christof Debaes, Joni Dambre, Jan M. Van Campenhout, Hugo Thienpont

Proceedings of the Frontiers of High Performance Computing and Networking, 2006

2005

Prediction model for evaluation of reconfigurable interconnects in distributed shared-memory systems.

Wim Heirman, Joni Dambre, Christof Debaes, Hugo Thienpont, Dirk Stroobandt, Jan Van Campenhout

Proceedings of the Seventh International Workshop on System-Level Interconnect Prediction (SLIP 2005), 2005

Towards reconfigurable optical networks on chip.

Ian O'Connor, Matthieu Briere, Emmanuel Drouard, Art Kazmierczak, Faress Tissafi-Drissi, David Navarro, Fabien Mieyeville, Joni Dambre, Dirk Stroobandt, Jean-Marc Fedeli, Zbigniew Lisik, Frédéric Gaffiot

Proceedings of the 1st International Workshop on Reconfigurable Communication-centric Systems-on-Chip, 2005

Traffic Temporal Analysis for Reconfigurable Interconnects in Shared-Memory Systems.

Wim Heirman, Joni Dambre, Jan Van Campenhout, Christof Debaes, Hugo Thienpont

Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

2004

Toward the accurate prediction of placement wire length distributions in VLSI circuits.

Joni Dambre, Dirk Stroobandt, Jan Van Campenhout

IEEE Trans. Very Large Scale Integr. Syst., 2004

2003

A comparison of various terminal-gate relationships for interconnect prediction in VLSI circuits.

Joni Dambre, Peter Verplaetse, Dirk Stroobandt, Jan Van Campenhout

IEEE Trans. Very Large Scale Integr. Syst., 2003

Fast estimation of the partitioning rent characteristic using a recursive partitioning model.

Joni Dambre, Dirk Stroobandt, Jan Van Campenhout

Proceedings of the 5th International Workshop on System-Level Interconnect Prediction (SLIP 2003), 2003

2002

A probabilistic approach to clock cycle prediction.

Joni Dambre, Dirk Stroobandt, Jan Van Campenhout

Proceedings of the 8th ACM/IEEE International Workshop on Timing Issues in the Specification and Synthesis of Digital Systems, 2002

Getting more out of Donath's hierarchical model for interconnect prediction.

Joni Dambre, Peter Verplaetse, Dirk Stroobandt, Jan Van Campenhout

Proceedings of the Fourth IEEE/ACM International Workshop on System-Level Interconnect Prediction (SLIP 2002), 2002

2001

On partitioning vs. placement rent properties.

Peter Verplaetse, Joni Dambre, Dirk Stroobandt, Jan Van Campenhout

Proceedings of the Third IEEE/ACM International Workshop on System-Level Interconnect Prediction (SLIP 2001), March 31, 2001

On rent's rule for rectangular regions.

Joni Dambre, Peter Verplaetse, Dirk Stroobandt, Jan Van Campenhout

Proceedings of the Third IEEE/ACM International Workshop on System-Level Interconnect Prediction (SLIP 2001), March 31, 2001