Joni Dambre

ORCID

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 70

Top Venues

CoRR

ICTON

Frontiers Neurorobotics

IEEE Trans. Neural Networks Learn. Syst.

Publications

Tanguy Cazalets, Joni Dambre
An homeostatic activity-dependent structural plasticity algorithm for richer input combination. IJCNN (2023)
Maxim Bonnaerens, Joni Dambre
Learned Thresholds Token Merging and Pruning for Vision Transformers. Trans. Mach. Learn. Res. 2023 (2023)
Tanguy Cazalets, Joni Dambre
A Bio-Inspired Model for Audio Processing. RIVF (2023)
Jérôme Fink, Mathieu De Coster, Joni Dambre, Benoît Frénay
Trends and Challenges for Sign Language Recognition with Machine Learning. ESANN (2023)
Mathieu De Coster, Joni Dambre
Querying A Sign Language Dictionary with Videos Using Dense Vector Search. ICASSP Workshops (2023)
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
SignON: Sign Language Translation. Progress and challenges. EAMT (2023)
Stefan Iacob, Spyridon Chavlis, Panayiota Poirazi, Joni Dambre
Delay-Sensitive Local Plasticity in Echo State Networks. IJCNN (2023)
Maxim Bonnaerens, Joni Dambre
Learned Thresholds Token Merging and Pruning for Vision Transformers. CoRR (2023)
Mathieu De Coster, Ellen Rushe, Ruth Holmes, Anthony Ventresque, Joni Dambre
Towards the extraction of robust sign embeddings for low resource sign language recognition. CoRR (2023)
Maxim Bonnaerens, Matthias Freiberger, Marian Verhelst, Joni Dambre
Hardware-aware mobile building block evaluation for computer vision. CoRR (2022)
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 Bosh, John O'Flaherty, Joni Dambre, Jorn Rijckaert
Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project. EAMT (2022)
Maxim Bonnaerens, Matthias Freiberger, Joni Dambre
Anchor pruning for object detection. Comput. Vis. Image Underst. 221 (2022)
Mathieu De Coster, Joni Dambre
Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation. Inf. 13 (5) (2022)
Mathieu De Coster, Dimitar Shterionov, Mieke Van Herreweghe, Joni Dambre
Machine Translation from Signed to Spoken Languages: State of the Art and Challenges. CoRR (2022)
Stefan Iacob, Matthias Freiberger, Joni Dambre
Distance-Based Delays in Echo State Networks. IDEAL (2022)
Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre, Francis Wyffels
Effect of compliance on morphological control of dynamic locomotion with HyQ. Auton. Robots 45 (3) (2021)
Mathieu De Coster, Mieke Van Herreweghe, Joni Dambre
Isolated Sign Recognition From RGB Video Using Pose Flow and Self-Attention. CVPR Workshops (2021)
Mathieu De Coster, Karel D'Oosterlinck, Marija Pizurica, Paloma Rabaey, Severine Verlinden, Mieke Van Herreweghe, Joni Dambre
Frozen Pretrained Transformers for Neural Sign Language Translation. AT4SSL@MTSummit (2021)
Luthffi Idzhar Ismail, Fazah Akhtar Hanapiah, Tony Belpaeme, Joni Dambre, Francis Wyffels
Analysis of Attention in Child-Robot Interaction Among Children Diagnosed with Cognitive Impairment. Int. J. Soc. Robotics 13 (2) (2021)
Jules Talloen, Joni Dambre, Alexander Vandesompele
PyTorch-Hebbian: facilitating local learning in a deep learning framework. CoRR (2021)
Stijn Sackesyn, Chonghuai Ma, Joni Dambre, Peter Bienstman
Experimental Demonstration of Nonlinear fibre Distortion Compensation with Integrated Photonic Reservoir Computing. ECOC (2021)
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
cREAtIve: reconfigurable embedded artificial intelligence. CF (2021)
Maxim Bonnaerens, Matthias Freiberger, Joni Dambre
Anchor Pruning for Object Detection. CoRR (2021)
Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre, Francis Wyffels
Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot. ICRA (2020)
Alexander Vandesompele, Gabriel Urbain, Francis Wyffels, Joni Dambre
Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped. CoRR (2020)
Mathieu De Coster, Mieke Van Herreweghe, Joni Dambre
Sign Language Recognition with Transformer Networks. LREC (2020)
Alexander Vandesompele, Francis Wyffels, Joni Dambre
Dendritic Computation in a Point Neuron Model. ICANN (2) (2020)
Iryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre
Conditional BRUNO: A neural process for exchangeable labelled data. Neurocomputing 416 (2020)
Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre, Francis Wyffels
Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot. CoRR (2020)
Benedikt Vettelschoss, Matthias Freiberger, Joni Dambre
Self-organized dynamic attractors in recurrent neural networks. ESANN (2020)
Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre
Training Passive Photonic Reservoirs With Integrated Optical Readout. IEEE Trans. Neural Networks Learn. Syst. 30 (7) (2019)
Alexander Vandesompele, Gabriel Urbain, Francis Wyffels, Joni Dambre
Populations of spiking neurons for reservoir computing: Closed loop control of a compliant quadruped. Cogn. Syst. Res. 58 (2019)
Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels
A Differentiable Physics Engine for Deep Learning in Robotics. Frontiers Neurorobotics 13 (2019)
Stijn Sackesyn, Chonghuai Ma, Andrew Katumba, Joni Dambre, Peter Bienstman
A Power-Efficient Architecture for On-Chip Reservoir Computing. ICANN (Workshop) (2019)
Chonghuai Ma, Stijn Sackesyn, Joni Dambre, Peter Bienstman
All-Optical Readout for Integrated Photonic Reservoir Computing. ICTON (2019)
Iryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre
Conditional BRUNO: a neural process for exchangeable labelled data. ESANN (2019)
Alexander Vandesompele, Gabriel Urbain, Hossain Mahmud, Francis Wyffels, Joni Dambre
Body Randomization Reduces the Sim-to-Real Gap for Compliant Quadruped Locomotion. Frontiers Neurorobotics 13 (2019)
Alexander Vandesompele, Gabriel Urbain, Francis Wyffels, Joni Dambre
Closed Loop Control of a Compliant Quadruped with Spiking Neural Networks. BICA (2019)
Luthffi Idzhar Ismail, Thibault Verhoeven, Joni Dambre, Francis Wyffels
Leveraging Robotics Research for Children with Autism: A Review. Int. J. Soc. Robotics 11 (3) (2019)
Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman
Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout. CoRR (2019)
Elisa Massi, Lorenzo Vannucci, Ugo Albanese, Marie Claire Capolei, Alexander Vandesompele, Gabriel Urbain, Angelo Maria Sabatini, Joni Dambre, Cecilia Laschi, Silvia Tolu, Egidio Falotico
Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion. Frontiers Neurorobotics 13 (2019)
Matthias Freiberger, Peter Bienstman, Joni Dambre
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping. CoRR (2019)
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? CoRR (2018)
Iryna Korshunova, Jonas Degrave, Ferenc Huszar, Yarin Gal, Arthur Gretton, Joni Dambre
BRUNO: A Deep Recurrent Model for Exchangeable Data. NeurIPS (2018)
Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video. Int. J. Comput. Vis. 126 (2-4) (2018)
Alessio Lugnan, Joni Dambre, Peter Bienstman
Integrated Dielectric Scatterers for Speeding up Classification of Cell Diffraction Patterns. ICTON (2018)
Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre
Training Passive Photonic Reservoirs with Integrated Optical Readout. CoRR (2018)
Floris Laporte, Joni Dambre, Peter Bienstman
Neuromorphic Computing with Signal-Mixing Cavities. ICRC (2018)
Gabriel Urbain, Alexander Vandesompele, Francis Wyffels, Joni Dambre
Calibration Method to Improve Transfer from Simulation to Quadruped Robots. SAB (2018)
Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan
Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing. OFC (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? EMNLP (2018)
Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve
activation functions in Quasi-Recurrent Neural Networks. Pattern Recognit. Lett. 116 (2018)
Andrew Katumba, Xin Yin, Joni Dambre, Peter Bienstman
Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (Invited). ECOC (2018)
Iryna Korshunova, Pieter-Jan Kindermans, Jonas Degrave, Thibault Verhoeven, Benjamin H. Brinkmann, Joni Dambre
Towards Improved Design and Evaluation of Epileptic Seizure Predictors. IEEE Trans. Biomed. Eng. 65 (3) (2018)
Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels
A Differentiable Physics Engine for Deep Learning in Robotics. ICLR (Workshop) (2017)
Fréderic Godin, Joni Dambre, Wesley De Neve
Improving Language Modeling using Densely Connected Recurrent Neural Networks. Rep4NLP@ACL (2017)
Floris Laporte, Joni Dambre, Peter Bienstman
Reservoir computing with signal-mixing cavities. ICTON (2017)
Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve
DReLUs: Dual Rectified Linear Units. CoRR (2017)
Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre
On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout. ICRC (2017)
Lionel Pigou, Mieke Van Herreweghe, Joni Dambre
Gesture and Sign Language Recognition with Temporal Residual Networks. ICCV Workshops (2017)
Gabriel Urbain, Jonas Degrave, Benonie Carette, Joni Dambre, Francis Wyffels
Morphological Properties of Mass-Spring Networks for Optimal Locomotion Learning. Frontiers Neurorobotics 11 (2017)
Fréderic Godin, Joni Dambre, Wesley De Neve
Improving Language Modeling using Densely Connected Recurrent Neural Networks. CoRR (2017)
Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre
A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing. Cogn. Comput. 9 (3) (2017)
Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis
Fast Face-Swap Using Convolutional Neural Networks. ICCV (2017)
Bendix Schneider, Joni Dambre, Peter Bienstman
Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems. IEEE Trans. Neural Networks Learn. Syst. 27 (12) (2016)
Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis
Fast Face-swap Using Convolutional Neural Networks. CoRR (2016)
Jonas Degrave, Sander Dieleman, Joni Dambre, Francis Wyffels
Spatial Chirp-Z Transformer Networks. ESANN (2016)
Andrew Katumba, B. Schneider, Joni Dambre, Peter Bienstman
An integrated Photonics Reservoir Computing approach to signal equalization for telecommunications. ICTON (2016)
Di Wu, Lionel Pigou, Pieter-Jan Kindermans, Nam Do-Hoang Le, Ling Shao, Joni Dambre, Jean-Marc Odobez
Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38 (8) (2016)
Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels
A Differentiable Physics Engine for Deep Learning in Robotics. CoRR (2016)
Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer
Photonic Delay Systems as Machine Learning Implementations. CoRR (2015)
Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer
Photonic delay systems as machine learning implementations. J. Mach. Learn. Res. 16 (2015)
Jeroen Burms, Ken Caluwaerts, Joni Dambre
Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics. Frontiers Neurorobotics 9 (2015)
Sander Dieleman, Kyle W. Willett, Joni Dambre
Rotation-invariant convolutional neural networks for galaxy morphology prediction. CoRR (2015)
Jonas Degrave, Ken Caluwaerts, Joni Dambre, Francis Wyffels
Developing an embodied gait on a compliant quadrupedal robot. IROS (2015)
Jeroen Burms, Ken Caluwaerts, Joni Dambre
Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networks. ICRA (2015)
Jonas Degrave, Michael Burm, Pieter-Jan Kindermans, Joni Dambre, Francis Wyffels
Transfer learning of gaits on a quadrupedal robot. Adapt. Behav. 23 (2) (2015)
B. Schneider, Geert Vanmeerbeeck, Richard Stahl, Liesbet Lagae, Joni Dambre, Peter Bienstman
Neural network for blood cell classification in a holographic microscopy system. ICTON (2015)
Michiel Hermans, Joni Dambre, Peter Bienstman
Optoelectronic Systems Trained With Backpropagation Through Time. IEEE Trans. Neural Networks Learn. Syst. 26 (7) (2015)
Juan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen
Memristor Models for Machine Learning. Neural Comput. 27 (3) (2015)
Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video. CoRR (2015)
Andrew Katumba, Peter Bienstman, Joni Dambre
Photonic reservoir computing approaches to nanoscale computation. NANOCOM (2015)
Martin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns. IEEE Trans. Neural Networks Learn. Syst. 25 (2) (2014)
Michiel Hermans, Michael Burm, Joni Dambre, Peter Bienstman
Trainable and Dynamic Computing: Error Backpropagation through Physical Media. CoRR (2014)
Juan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen
Memristor models for machine learning. CoRR (2014)
François Duport, Anteo Smerieri, Yvan Paquot, Bendix Schneider, Joni Dambre, Benjamin Schrauwen, Marc Haelterman, Serge Massar
Recent advances in optical Reservoir Computing. ISCAS (2013)
Pieter Buteneers, Ken Caluwaerts, Joni Dambre, David Verstraeten, Benjamin Schrauwen
Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression. Neural Process. Lett. 38 (3) (2013)
Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen, Peter Bienstman
Parallel Reservoir Computing Using Optical Amplifiers. IEEE Trans. Neural Networks 22 (9) (2011)
Yvan Paquot, François Duport, Anteo Smerieri, Joni Dambre, Benjamin Schrauwen, Marc Haelterman, Serge Massar
Optoelectronic Reservoir Computing CoRR (2011)
David Verstraeten, Joni Dambre, Xavier Dutoit, Benjamin Schrauwen
Memory versus non-linearity in reservoirs. IJCNN (2010)
Wim Heirman, Joni Dambre, Dirk Stroobandt, Jan M. Van Campenhout
Rent's rule and parallel programs: characterizing network traffic behavior. SLIP (2008)
Wim Heirman, Joni Dambre, Iñigo Artundo, Christof Debaes, Hugo Thienpont, Dirk Stroobandt, Jan Van Campenhout
Predicting the performance of reconfigurable optical interconnects in distributed shared-memory systems. Photonic Netw. Commun. 15 (1) (2008)
Wim Heirman, Joni Dambre, Iñigo Artundo, Christof Debaes, Hugo Thienpont, Dirk Stroobandt, Jan M. Van Campenhout
Predicting reconfigurable interconnect performance in distributed shared-memory systems. Integr. 40 (4) (2007)
Wim Heirman, Joni Dambre, Jan Van Campenhout
Synthetic traffic generation as a tool for dynamic interconnect evaluation. SLIP (2007)
Ian O'Connor, Faress Tissafi-Drissi, Frédéric Gaffiot, Joni Dambre, Michiel De Wilde, Jan Van Campenhout, Dries Van Thourhout, Dirk Stroobandt
Systematic Simulation-Based Predictive Synthesis of Integrated Optical Interconnect. IEEE Trans. Very Large Scale Integr. Syst. 15 (8) (2007)
Wim Heirman, Joni Dambre, Jan M. Van Campenhout
Congestion modeling for reconfigurable inter-processor networks. SLIP (2006)
Iñigo Artundo, Daniel Manjarres, Wim Heirman, Christof Debaes, Joni Dambre, Jan M. Van Campenhout, Hugo Thienpont
Reconfigurable Interconnects in DSM Systems: A Focus on Context Switch Behavior. ISPA Workshops (2006)
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
Towards reconfigurable optical networks on chip. ReCoSoC (2005)
Wim Heirman, Joni Dambre, Christof Debaes, Hugo Thienpont, Dirk Stroobandt, Jan Van Campenhout
Prediction model for evaluation of reconfigurable interconnects in distributed shared-memory systems. SLIP (2005)
Wim Heirman, Joni Dambre, Jan Van Campenhout, Christof Debaes, Hugo Thienpont
Traffic Temporal Analysis for Reconfigurable Interconnects in Shared-Memory Systems. IPDPS (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joni Dambre