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2020 – today
- 2024
[j33]Mathieu De Coster
, Dimitar Shterionov, Mieke Van Herreweghe, Joni Dambre:
Machine translation from signed to spoken languages: state of the art and challenges. Univers. Access Inf. Soc. 23(3): 1305-1331 (2024)- [c54]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:
SignON - a Co-creative Machine Translation for Sign and Spoken Languages (end-of-project results, contributions and lessons learned). EAMT (2) 2024: 49-50 - 2023
- [j32]Maxim Bonnaerens, Joni Dambre:
Learned Thresholds Token Merging and Pruning for Vision Transformers. Trans. Mach. Learn. Res. 2023 (2023) - [c53]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: 501-502 - [c52]Jérôme Fink, Mathieu De Coster, Joni Dambre, Benoît Frénay:
Trends and Challenges for Sign Language Recognition with Machine Learning. ESANN 2023 - [c51]Mathieu De Coster, Joni Dambre:
Querying A Sign Language Dictionary with Videos Using Dense Vector Search. ICASSP Workshops 2023: 1-5 - [c50]Tanguy Cazalets, Joni Dambre:
An homeostatic activity-dependent structural plasticity algorithm for richer input combination. IJCNN 2023: 1-8 - [c49]Stefan Iacob, Spyridon Chavlis, Panayiota Poirazi, Joni Dambre:
Delay-Sensitive Local Plasticity in Echo State Networks. IJCNN 2023: 1-8 - [c48]Tanguy Cazalets, Joni Dambre:
A Bio-Inspired Model for Audio Processing. RIVF 2023: 458-463 - [i22]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 abs/2306.17558 (2023) - [i21]Maxim Bonnaerens, Joni Dambre:
Learned Thresholds Token Merging and Pruning for Vision Transformers. CoRR abs/2307.10780 (2023) - 2022
- [j31]Maxim Bonnaerens, Matthias Freiberger, Joni Dambre:
Anchor pruning for object detection. Comput. Vis. Image Underst. 221: 103445 (2022) - [j30]Mathieu De Coster, Joni Dambre:
Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation. Inf. 13(5): 220 (2022) - [c47]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:
Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project. EAMT 2022: 323-324 - [c46]Stefan Iacob, Matthias Freiberger, Joni Dambre:
Distance-Based Delays in Echo State Networks. IDEAL 2022: 211-222 - [i20]Mathieu De Coster, Dimitar Shterionov, Mieke Van Herreweghe, Joni Dambre:
Machine Translation from Signed to Spoken Languages: State of the Art and Challenges. CoRR abs/2202.03086 (2022) - [i19]Maxim Bonnaerens, Matthias Freiberger, Marian Verhelst, Joni Dambre:
Hardware-aware mobile building block evaluation for computer vision. CoRR abs/2208.12694 (2022) - 2021
- [j29]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): 421-434 (2021) - [j28]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): 141-152 (2021) - [c45]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: 194-199 - [c44]Mathieu De Coster, Mieke Van Herreweghe, Joni Dambre:
Isolated Sign Recognition From RGB Video Using Pose Flow and Self-Attention. CVPR Workshops 2021: 3441-3450 - [c43]Stijn Sackesyn, Chonghuai Ma, Joni Dambre, Peter Bienstman:
Experimental Demonstration of Nonlinear fibre Distortion Compensation with Integrated Photonic Reservoir Computing. ECOC 2021: 1-4 - [c42]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: 88-97 - [p1]Joni Dambre, Andrew Katumba, Chonghuai Ma, Stijn Sackesyn, Floris Laporte, Matthias Freiberger, Peter Bienstman:
Computing with Integrated Photonic Reservoirs. Reservoir Computing 2021: 397-419 - [i18]Jules Talloen, Joni Dambre, Alexander Vandesompele:
PyTorch-Hebbian: facilitating local learning in a deep learning framework. CoRR abs/2102.00428 (2021) - [i17]Maxim Bonnaerens, Matthias Freiberger, Joni Dambre:
Anchor Pruning for Object Detection. CoRR abs/2104.00432 (2021) - 2020
- [j27]Iryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre:
Conditional BRUNO: A neural process for exchangeable labelled data. Neurocomputing 416: 305-309 (2020) - [c41]Benedikt Vettelschoss, Matthias Freiberger, Joni Dambre:
Self-organized dynamic attractors in recurrent neural networks. ESANN 2020: 585-590 - [c40]Alexander Vandesompele, Francis Wyffels, Joni Dambre:
Dendritic Computation in a Point Neuron Model. ICANN (2) 2020: 599-609 - [c39]Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre, Francis Wyffels:
Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot. ICRA 2020: 6127-6133 - [c38]Mathieu De Coster, Mieke Van Herreweghe, Joni Dambre:
Sign Language Recognition with Transformer Networks. LREC 2020: 6018-6024 - [i16]Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre, Francis Wyffels:
Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot. CoRR abs/2003.09327 (2020) - [i15]Alexander Vandesompele, Gabriel Urbain, Francis Wyffels, Joni Dambre:
Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped. CoRR abs/2004.04560 (2020)
2010 – 2019
- 2019
- [j26]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: 317-323 (2019) - [j25]Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels:
A Differentiable Physics Engine for Deep Learning in Robotics. Frontiers Neurorobotics 13: 6 (2019) - [j24]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: 9 (2019) - [j23]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: 71 (2019) - [j22]Luthffi Idzhar Ismail, Thibault Verhoeven, Joni Dambre, Francis Wyffels:
Leveraging Robotics Research for Children with Autism: A Review. Int. J. Soc. Robotics 11(3): 389-410 (2019) - [j21]Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
Training Passive Photonic Reservoirs With Integrated Optical Readout. IEEE Trans. Neural Networks Learn. Syst. 30(7): 1943-1953 (2019) - [c37]Alexander Vandesompele, Gabriel Urbain, Francis Wyffels, Joni Dambre:
Closed Loop Control of a Compliant Quadruped with Spiking Neural Networks. BICA 2019: 547-555 - [c36]Iryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre:
Conditional BRUNO: a neural process for exchangeable labelled data. ESANN 2019 - [c35]Stijn Sackesyn, Chonghuai Ma, Andrew Katumba, Joni Dambre, Peter Bienstman:
A Power-Efficient Architecture for On-Chip Reservoir Computing. ICANN (Workshop) 2019: 161-164 - [c34]Chonghuai Ma, Stijn Sackesyn, Joni Dambre, Peter Bienstman:
All-Optical Readout for Integrated Photonic Reservoir Computing. ICTON 2019: 1-4 - [i14]Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman:
Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout. CoRR abs/1908.02728 (2019) - [i13]Matthias Freiberger, Peter Bienstman, Joni Dambre:
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping. CoRR abs/1910.13332 (2019) - 2018
- [j20]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): 430-439 (2018) - [j19]Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve:
Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks. Pattern Recognit. Lett. 116: 8-14 (2018) - [j18]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): 502-510 (2018) - [c33]Andrew Katumba, Xin Yin, Joni Dambre, Peter Bienstman:
Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (Invited). ECOC 2018: 1-3 - [c32]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: 3275-3284 - [c31]Floris Laporte, Joni Dambre, Peter Bienstman:
Neuromorphic Computing with Signal-Mixing Cavities. ICRC 2018: 1-4 - [c30]Alessio Lugnan, Joni Dambre, Peter Bienstman:
Integrated Dielectric Scatterers for Speeding up Classification of Cell Diffraction Patterns. ICTON 2018: 1-4 - [c29]Iryna Korshunova, Jonas Degrave, Ferenc Huszar, Yarin Gal, Arthur Gretton, Joni Dambre:
BRUNO: A Deep Recurrent Model for Exchangeable Data. NeurIPS 2018: 7190-7198 - [c28]Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan:
Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing. OFC 2018: 1-3 - [c27]Gabriel Urbain, Alexander Vandesompele, Francis Wyffels, Joni Dambre:
Calibration Method to Improve Transfer from Simulation to Quadruped Robots. SAB 2018: 102-113 - [i12]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 abs/1808.09551 (2018) - [i11]Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
Training Passive Photonic Reservoirs with Integrated Optical Readout. CoRR abs/1810.03377 (2018) - 2017
- [j17]Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre:
A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing. Cogn. Comput. 9(3): 307-314 (2017) - [j16]Gabriel Urbain, Jonas Degrave, Benonie Carette, Joni Dambre, Francis Wyffels:
Morphological Properties of Mass-Spring Networks for Optimal Locomotion Learning. Frontiers Neurorobotics 11: 16 (2017) - [c26]Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis:
Fast Face-Swap Using Convolutional Neural Networks. ICCV 2017: 3697-3705 - [c25]Lionel Pigou, Mieke Van Herreweghe, Joni Dambre:
Gesture and Sign Language Recognition with Temporal Residual Networks. ICCV Workshops 2017: 3086-3093 - [c24]Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels:
A Differentiable Physics Engine for Deep Learning in Robotics. ICLR (Workshop) 2017 - [c23]Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout. ICRC 2017: 1-4 - [c22]Floris Laporte, Joni Dambre, Peter Bienstman:
Reservoir computing with signal-mixing cavities. ICTON 2017: 1-4 - [c21]Fréderic Godin, Joni Dambre, Wesley De Neve:
Improving Language Modeling using Densely Connected Recurrent Neural Networks. Rep4NLP@ACL 2017: 186-190 - [i10]Fréderic Godin, Joni Dambre, Wesley De Neve:
Improving Language Modeling using Densely Connected Recurrent Neural Networks. CoRR abs/1707.06130 (2017) - [i9]Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve:
DReLUs: Dual Rectified Linear Units. CoRR abs/1707.08214 (2017) - 2016
- [j15]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): 1583-1597 (2016) - [j14]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): 2748-2753 (2016) - [c20]Jonas Degrave, Sander Dieleman, Joni Dambre, Francis Wyffels:
Spatial Chirp-Z Transformer Networks. ESANN 2016 - [c19]Andrew Katumba, Bendix Schneider, Joni Dambre, Peter Bienstman:
An integrated Photonics Reservoir Computing approach to signal equalization for telecommunications. ICTON 2016: 1 - [i8]Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels:
A Differentiable Physics Engine for Deep Learning in Robotics. CoRR abs/1611.01652 (2016) - [i7]Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis:
Fast Face-swap Using Convolutional Neural Networks. CoRR abs/1611.09577 (2016) - 2015
- [j13]Jonas Degrave, Michael Burm, Pieter-Jan Kindermans, Joni Dambre, Francis Wyffels:
Transfer learning of gaits on a quadrupedal robot. Adapt. Behav. 23(2): 69-82 (2015) - [j12]Jeroen Burms, Ken Caluwaerts, Joni Dambre:
Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics. Frontiers Neurorobotics 9: 9 (2015) - [j11]Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer:
Photonic delay systems as machine learning implementations. J. Mach. Learn. Res. 16: 2081-2097 (2015) - [j10]Juan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen:
Memristor Models for Machine Learning. Neural Comput. 27(3): 725-747 (2015) - [j9]Michiel Hermans, Joni Dambre, Peter Bienstman:
Optoelectronic Systems Trained With Backpropagation Through Time. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1545-1550 (2015) - [c18]Jeroen Burms, Ken Caluwaerts, Joni Dambre:
Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networks. ICRA 2015: 4252-4257 - [c17]Bendix Schneider, Geert Vanmeerbeeck, Richard Stahl, Liesbet Lagae, Joni Dambre, Peter Bienstman:
Neural network for blood cell classification in a holographic microscopy system. ICTON 2015: 1-4 - [c16]Jonas Degrave, Ken Caluwaerts, Joni Dambre, Francis Wyffels:
Developing an embodied gait on a compliant quadrupedal robot. IROS 2015: 4486-4491 - [c15]Andrew Katumba, Peter Bienstman, Joni Dambre:
Photonic reservoir computing approaches to nanoscale computation. NANOCOM 2015: 23:1-23:2 - [i6]Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer:
Photonic Delay Systems as Machine Learning Implementations. CoRR abs/1501.02592 (2015) - [i5]Sander Dieleman, Kyle W. Willett, Joni Dambre:
Rotation-invariant convolutional neural networks for galaxy morphology prediction. CoRR abs/1503.07077 (2015) - [i4]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 abs/1506.01911 (2015) - 2014
- [j8]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): 344-355 (2014) - [i3]Juan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen:
Memristor models for machine learning. CoRR abs/1406.2210 (2014) - [i2]Michiel Hermans, Michael Burm, Joni Dambre, Peter Bienstman:
Trainable and Dynamic Computing: Error Backpropagation through Physical Media. CoRR abs/1407.6637 (2014) - 2013
- [j7]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): 403-416 (2013) - [c14]François Duport, Anteo Smerieri, Yvan Paquot, Bendix Schneider, Joni Dambre, Benjamin Schrauwen, Marc Haelterman, Serge Massar:
Recent advances in optical Reservoir Computing. ISCAS 2013: 333-336 - 2011
- [j6]Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen, Peter Bienstman:
Parallel Reservoir Computing Using Optical Amplifiers. IEEE Trans. Neural Networks 22(9): 1469-1481 (2011) - [i1]Yvan Paquot, François Duport, Anteo Smerieri, Joni Dambre, Benjamin Schrauwen, Marc Haelterman, Serge Massar:
Optoelectronic Reservoir Computing. CoRR abs/1111.7219 (2011) - 2010
- [c13]David Verstraeten, Joni Dambre, Xavier Dutoit, Benjamin Schrauwen:
Memory versus non-linearity in reservoirs. IJCNN 2010: 1-8
2000 – 2009
- 2008
- [j5]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): 25-40 (2008) - [c12]Wim Heirman, Joni Dambre, Dirk Stroobandt, Jan M. Van Campenhout:
Rent's rule and parallel programs: characterizing network traffic behavior. SLIP 2008: 87-94 - 2007
- [j4]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): 382-393 (2007) - [j3]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): 927-940 (2007) - [c11]Wim Heirman, Joni Dambre, Jan Van Campenhout:
Synthetic traffic generation as a tool for dynamic interconnect evaluation. SLIP 2007: 65-72 - 2006
- [c10]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: 311-321 - [c9]Wim Heirman, Joni Dambre, Jan M. Van Campenhout:
Congestion modeling for reconfigurable inter-processor networks. SLIP 2006: 59-66 - [e1]Mike Hutton, Joni Dambre:
The Eigth International Workshop on System-Level Interconnect Prediction (SLIP 2006), Munich, Germany, March 4-5, 2006, Proceedings. ACM 2006, ISBN 1-59593-255-0 [contents] - 2005
- [c8]Wim Heirman, Joni Dambre, Jan Van Campenhout, Christof Debaes, Hugo Thienpont:
Traffic Temporal Analysis for Reconfigurable Interconnects in Shared-Memory Systems. IPDPS 2005 - [c7]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: 121-128 - [c6]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: 51-58 - 2004
- [j2]Joni Dambre, Dirk Stroobandt, Jan Van Campenhout:
Toward the accurate prediction of placement wire length distributions in VLSI circuits. IEEE Trans. Very Large Scale Integr. Syst. 12(4): 339-348 (2004) - 2003
- [j1]Joni Dambre, Peter Verplaetse, Dirk Stroobandt, Jan Van Campenhout:
A comparison of various terminal-gate relationships for interconnect prediction in VLSI circuits. IEEE Trans. Very Large Scale Integr. Syst. 11(1): 24-34 (2003) - [c5]Joni Dambre, Dirk Stroobandt, Jan Van Campenhout:
Fast estimation of the partitioning rent characteristic using a recursive partitioning model. SLIP 2003: 45-52 - 2002
- [c4]Joni Dambre, Peter Verplaetse, Dirk Stroobandt, Jan Van Campenhout:
Getting more out of Donath's hierarchical model for interconnect prediction. SLIP 2002: 9-16 - [c3]Joni Dambre, Dirk Stroobandt, Jan Van Campenhout:
A probabilistic approach to clock cycle prediction. Timing Issues in the Specification and Synthesis of Digital Systems 2002: 9-15 - 2001
- [c2]Peter Verplaetse, Joni Dambre, Dirk Stroobandt, Jan Van Campenhout:
On partitioning vs. placement rent properties. SLIP 2001: 33-40 - [c1]Joni Dambre, Peter Verplaetse, Dirk Stroobandt, Jan Van Campenhout:
On rent's rule for rectangular regions. SLIP 2001: 49-56
Coauthor Index
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