On rent's rule for rectangular regions. - Joni Dambre; Peter Verplaetse; Dirk Stroobandt; Jan Van Campenhout (SLIP, 2001)

On partitioning vs. placement rent properties. - Peter Verplaetse; Joni Dambre; Dirk Stroobandt; Jan Van Campenhout (SLIP, 2001)

Getting more out of Donath's hierarchical model for interconnect prediction. - Joni Dambre; Peter Verplaetse; Dirk Stroobandt; Jan Van Campenhout (SLIP, 2002)

A probabilistic approach to clock cycle prediction. - Joni Dambre; Dirk Stroobandt; Jan Van Campenhout (Timing Issues in the Specification and Synthesis of Digital Systems, 2002)

Fast estimation of the partitioning rent characteristic using a recursive partitioning model. - Joni Dambre; Dirk Stroobandt; Jan Van Campenhout (SLIP, 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)

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)

Traffic Temporal Analysis for Reconfigurable Interconnects in Shared-Memory Systems. - Wim Heirman; Joni Dambre; Jan Van Campenhout; Christof Debaes; Hugo Thienpont (IPDPS, 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 (ReCoSoC, 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 (SLIP, 2005)

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 (ISPA Workshops, 2006)

Congestion modeling for reconfigurable inter-processor networks. - Wim Heirman; Joni Dambre; Jan M. Van Campenhout (SLIP, 2006)

Synthetic traffic generation as a tool for dynamic interconnect evaluation. - Wim Heirman; Joni Dambre; Jan Van Campenhout (SLIP, 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)

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)

Rent's rule and parallel programs: characterizing network traffic behavior. - Wim Heirman; Joni Dambre; Dirk Stroobandt; Jan M. Van Campenhout (SLIP, 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)

Memory versus non-linearity in reservoirs. - David Verstraeten; Joni Dambre; Xavier Dutoit; Benjamin Schrauwen (IJCNN, 2010)

Optoelectronic Reservoir Computing - Yvan Paquot; François Duport; Anteo Smerieri; Joni Dambre; Benjamin Schrauwen; Marc Haelterman; Serge Massar (CoRR, 2011)

Parallel Reservoir Computing Using Optical Amplifiers. - Kristof Vandoorne; Joni Dambre; David Verstraeten; Benjamin Schrauwen; Peter Bienstman (IEEE Trans. Neural Networks, 2011)

Recent advances in optical Reservoir Computing. - François Duport; Anteo Smerieri; Yvan Paquot; Bendix Schneider; Joni Dambre; Benjamin Schrauwen; Marc Haelterman; Serge Massar (ISCAS, 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)

Trainable and Dynamic Computing: Error Backpropagation through Physical Media. - Michiel Hermans; Michael Burm; Joni Dambre; Peter Bienstman (CoRR, 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)

Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networks. - Jeroen Burms; Ken Caluwaerts; Joni Dambre (ICRA, 2015)

Neural network for blood cell classification in a holographic microscopy system. - Bendix Schneider; Geert Vanmeerbeeck; Richard Stahl; Liesbet Lagae; Joni Dambre; Peter Bienstman (ICTON, 2015)

Developing an embodied gait on a compliant quadrupedal robot. - Jonas Degrave; Ken Caluwaerts; Joni Dambre; Francis Wyffels (IROS, 2015)

Photonic reservoir computing approaches to nanoscale computation. - Andrew Katumba; Peter Bienstman; Joni Dambre (NANOCOM, 2015)

Transfer learning of gaits on a quadrupedal robot. - Jonas Degrave; Michael Burm; Pieter-Jan Kindermans; Joni Dambre; Francis Wyffels (Adapt. Behav., 2015)

Rotation-invariant convolutional neural networks for galaxy morphology prediction. - Sander Dieleman; Kyle W. Willett; Joni Dambre (CoRR, 2015)

Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics. - Jeroen Burms; Ken Caluwaerts; Joni Dambre (Frontiers Neurorobotics, 2015)

Photonic delay systems as machine learning implementations. - Michiel Hermans; Miguel C. Soriano; Joni Dambre; Peter Bienstman; Ingo Fischer (J. Mach. Learn. Res., 2015)

Memristor Models for Machine Learning. - Juan Pablo Carbajal; Joni Dambre; Michiel Hermans; Benjamin Schrauwen (Neural Comput., 2015)

Optoelectronic Systems Trained With Backpropagation Through Time. - Michiel Hermans; Joni Dambre; Peter Bienstman (IEEE Trans. Neural Networks Learn. Syst., 2015)

Spatial Chirp-Z Transformer Networks. - Jonas Degrave; Sander Dieleman; Joni Dambre; Francis Wyffels (ESANN, 2016)

An integrated Photonics Reservoir Computing approach to signal equalization for telecommunications. - Andrew Katumba; Bendix Schneider; Joni Dambre; Peter Bienstman (ICTON, 2016)

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition. - Di Wu 009; Lionel Pigou; Pieter-Jan Kindermans; Nam Do-Hoang Le; Ling Shao 001; Joni Dambre; Jean-Marc Odobez (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Fast Face-Swap Using Convolutional Neural Networks. - Iryna Korshunova; Wenzhe Shi; Joni Dambre; Lucas Theis (ICCV, 2017)

Gesture and Sign Language Recognition with Temporal Residual Networks. - Lionel Pigou; Mieke Van Herreweghe; Joni Dambre (ICCV Workshops, 2017)

On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout. - Matthias Freiberger; Andrew Katumba; Peter Bienstman; Joni Dambre (ICRC, 2017)

Reservoir computing with signal-mixing cavities. - Floris Laporte; Joni Dambre; Peter Bienstman (ICTON, 2017)

Improving Language Modeling using Densely Connected Recurrent Neural Networks. - Fréderic Godin; Joni Dambre; Wesley De Neve (Rep4NLP@ACL, 2017)

A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing. - Andrew Katumba; Matthias Freiberger; Peter Bienstman; Joni Dambre (Cogn. Comput., 2017)

DReLUs: Dual Rectified Linear Units. - Fréderic Godin; Jonas Degrave; Joni Dambre; Wesley De Neve (CoRR, 2017)

Morphological Properties of Mass-Spring Networks for Optimal Locomotion Learning. - Gabriel Urbain; Jonas Degrave; Benonie Carette; Joni Dambre; Francis Wyffels (Frontiers Neurorobotics, 2017)

Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (Invited). - Andrew Katumba; Xin Yin; Joni Dambre; Peter Bienstman (ECOC, 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 (EMNLP, 2018)

Neuromorphic Computing with Signal-Mixing Cavities. - Floris Laporte; Joni Dambre; Peter Bienstman (ICRC, 2018)

Integrated Dielectric Scatterers for Speeding up Classification of Cell Diffraction Patterns. - Alessio Lugnan; Joni Dambre; Peter Bienstman (ICTON, 2018)

BRUNO: A Deep Recurrent Model for Exchangeable Data. - Iryna Korshunova; Jonas Degrave; Ferenc Huszar; Yarin Gal; Arthur Gretton; Joni Dambre (NeurIPS, 2018)

Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing. - Peter Bienstman; Joni Dambre; Andrew Katumba; Matthias Freiberger; Floris Laporte; Alessio Lugnan (OFC, 2018)

Calibration Method to Improve Transfer from Simulation to Quadruped Robots. - Gabriel Urbain; Alexander Vandesompele; Francis Wyffels; Joni Dambre (SAB, 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)

Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks. - Fréderic Godin; Jonas Degrave; Joni Dambre; Wesley De Neve (Pattern Recognit. Lett., 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)

Closed Loop Control of a Compliant Quadruped with Spiking Neural Networks. - Alexander Vandesompele; Gabriel Urbain; Francis Wyffels; Joni Dambre (BICA, 2019)

A Power-Efficient Architecture for On-Chip Reservoir Computing. - Stijn Sackesyn; Chonghuai Ma; Andrew Katumba; Joni Dambre; Peter Bienstman (ICANN (Workshop), 2019)

All-Optical Readout for Integrated Photonic Reservoir Computing. - Chonghuai Ma; Stijn Sackesyn; Joni Dambre; Peter Bienstman (ICTON, 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)

Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout. - Chonghuai Ma; Floris Laporte; Joni Dambre; Peter Bienstman (CoRR, 2019)

Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping. - Matthias Freiberger; Peter Bienstman; Joni Dambre (CoRR, 2019)

A Differentiable Physics Engine for Deep Learning in Robotics. - Jonas Degrave; Michiel Hermans; Joni Dambre; Francis Wyffels (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)

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)

Leveraging Robotics Research for Children with Autism: A Review. - Luthffi Idzhar Ismail; Thibault Verhoeven; Joni Dambre; Francis Wyffels (Int. J. Soc. Robotics, 2019)

Training Passive Photonic Reservoirs With Integrated Optical Readout. - Matthias Freiberger; Andrew Katumba; Peter Bienstman; Joni Dambre (IEEE Trans. Neural Networks Learn. Syst., 2019)

Self-organized dynamic attractors in recurrent neural networks. - Benedikt Vettelschoss; Matthias Freiberger; Joni Dambre (ESANN, 2020)

Dendritic Computation in a Point Neuron Model. - Alexander Vandesompele; Francis Wyffels; Joni Dambre (ICANN (2), 2020)

Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot. - Gabriel Urbain; Victor Barasuol; Claudio Semini; Joni Dambre; Francis Wyffels (ICRA, 2020)

Sign Language Recognition with Transformer Networks. - Mathieu De Coster; Mieke Van Herreweghe; Joni Dambre (LREC, 2020)

Conditional BRUNO: A neural process for exchangeable labelled data. - Iryna Korshunova; Yarin Gal; Arthur Gretton; Joni Dambre (Neurocomputing, 2020)

cREAtIve: reconfigurable embedded artificial intelligence. - Poona Bahrebar; Leon Denis; Maxim Bonnaerens; Kristof Coddens; Joni Dambre; Wouter Favoreel; Illia Khvastunov; Adrian Munteanu 001; Hung Nguyen-Duc; Stefan Schulte 001; Dirk Stroobandt; Ramses Valvekens; et al. (CF, 2021)

Isolated Sign Recognition From RGB Video Using Pose Flow and Self-Attention. - Mathieu De Coster; Mieke Van Herreweghe; Joni Dambre (CVPR Workshops, 2021)

Experimental Demonstration of Nonlinear fibre Distortion Compensation with Integrated Photonic Reservoir Computing. - Stijn Sackesyn; Chonghuai Ma; Joni Dambre; Peter Bienstman (ECOC, 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 (AT4SSL@MTSummit, 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)

PyTorch-Hebbian: facilitating local learning in a deep learning framework. - Jules Talloen; Joni Dambre; Alexander Vandesompele (CoRR, 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)

Computing with Integrated Photonic Reservoirs. - Joni Dambre; Andrew Katumba; Chonghuai Ma; Stijn Sackesyn; Floris Laporte; Matthias Freiberger; Peter Bienstman (Reservoir Computing, 2021)

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; et al. (EAMT, 2022)

Distance-Based Delays in Echo State Networks. - Stefan Iacob; Matthias Freiberger; Joni Dambre (IDEAL, 2022)

Hardware-aware mobile building block evaluation for computer vision. - Maxim Bonnaerens; Matthias Freiberger; Marian Verhelst; Joni Dambre (CoRR, 2022)

Anchor pruning for object detection. - Maxim Bonnaerens; Matthias Freiberger; Joni Dambre (Comput. Vis. Image Underst., 2022)

Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation. - Mathieu De Coster; Joni Dambre (Inf., 2022)

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; et al. (EAMT, 2023)

Trends and Challenges for Sign Language Recognition with Machine Learning. - Jérôme Fink; Mathieu De Coster; Joni Dambre; Benoît Frénay (ESANN, 2023)

Querying A Sign Language Dictionary with Videos Using Dense Vector Search. - Mathieu De Coster; Joni Dambre (ICASSP Workshops, 2023)

An homeostatic activity-dependent structural plasticity algorithm for richer input combination. - Tanguy Cazalets; Joni Dambre (IJCNN, 2023)

Delay-Sensitive Local Plasticity in Echo State Networks. - Stefan Iacob; Spyridon Chavlis; Panayiota Poirazi; Joni Dambre (IJCNN, 2023)

A Bio-Inspired Model for Audio Processing. - Tanguy Cazalets; Joni Dambre (RIVF, 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)

Learned Thresholds Token Merging and Pruning for Vision Transformers. - Maxim Bonnaerens; Joni Dambre (Trans. Mach. Learn. Res., 2023)

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; et al. (EAMT (2), 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., 2024)

Word Synchronization Challenge: A Benchmark for Word Association Responses for Large Language Models. - Tanguy Cazalets; Joni Dambre (HCI (5), 2025)

Word Synchronization Challenge: A Benchmark for Word Association Responses for LLMs. - Tanguy Cazalets; Joni Dambre (CoRR, 2025)

Representing Signs as Signs: One-Shot ISLR to Facilitate Functional Sign Language Technologies. - Toon Vandendriessche; Mathieu De Coster; Annelies Lejon; Joni Dambre (CoRR, 2025)

Correction to: 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., 2025)