Joni Dambre

According to our database1, Joni Dambre authored at least 64 papers between 2001 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2020
Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot.
CoRR, 2020

Sign Language Recognition with Transformer Networks.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
Training Passive Photonic Reservoirs With Integrated Optical Readout.
IEEE Trans. Neural Networks Learn. Syst., 2019

Leveraging Robotics Research for Children with Autism: A Review.
Int. J. Soc. Robotics, 2019

Body Randomization Reduces the Sim-to-Real Gap for Compliant Quadruped Locomotion.
Frontiers Neurorobotics, 2019

Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion.
Frontiers Neurorobotics, 2019

A Differentiable Physics Engine for Deep Learning in Robotics.
Frontiers Neurorobotics, 2019

Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping.
CoRR, 2019

Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout.
CoRR, 2019

Populations of spiking neurons for reservoir computing: Closed loop control of a compliant quadruped.
Cogn. Syst. Res., 2019

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

Conditional BRUNO: a neural process for exchangeable labelled data.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Closed Loop Control of a Compliant Quadruped with Spiking Neural Networks.
Proceedings of the Biologically Inspired Cognitive Architectures 2019, 2019

2018
Towards Improved Design and Evaluation of Epileptic Seizure Predictors.
IEEE Trans. Biomed. Engineering, 2018

Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks.
Pattern Recognit. Lett., 2018

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video.
Int. J. Comput. Vis., 2018

Calibration Method to Improve Transfer from Simulation to Quadruped Robots.
Proceedings of the From Animals to Animats 15, 2018

Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

BRUNO: A Deep Recurrent Model for Exchangeable Data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neuromorphic Computing with Signal-Mixing Cavities.
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?
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Morphological Properties of Mass-Spring Networks for Optimal Locomotion Learning.
Frontiers Neurorobotics, 2017

DReLUs: Dual Rectified Linear Units.
CoRR, 2017

A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing.
Cogn. Comput., 2017

Improving Language Modeling using Densely Connected Recurrent Neural Networks.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

Gesture and Sign Language Recognition with Temporal Residual Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Fast Face-Swap Using Convolutional Neural Networks.
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.
IEEE Trans. Neural Networks Learn. Syst., 2016

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Spatial Chirp-Z Transformer Networks.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Optoelectronic Systems Trained With Backpropagation Through Time.
IEEE Trans. Neural Networks Learn. Syst., 2015

Memristor Models for Machine Learning.
Neural Computation, 2015

Photonic delay systems as machine learning implementations.
J. Mach. Learn. Res., 2015

Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics.
Frontiers Neurorobotics, 2015

Rotation-invariant convolutional neural networks for galaxy morphology prediction.
CoRR, 2015

Transfer learning of gaits on a quadrupedal robot.
Adaptive Behaviour, 2015

Photonic reservoir computing approaches to nanoscale computation.
Proceedings of the Second Annual International Conference on Nanoscale Computing and Communication, 2015

Developing an embodied gait on a compliant quadrupedal robot.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns.
IEEE Trans. Neural Networks Learn. Syst., 2014

Trainable and Dynamic Computing: Error Backpropagation through Physical Media.
CoRR, 2014

2013
Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression.
Neural Process. Lett., 2013

Recent advances in optical Reservoir Computing.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

2011
Parallel Reservoir Computing Using Optical Amplifiers.
IEEE Trans. Neural Networks, 2011

Optoelectronic Reservoir Computing
CoRR, 2011

2010
Memory versus non-linearity in reservoirs.
Proceedings of the International Joint Conference on Neural Networks, 2010

2008
Predicting the performance of reconfigurable optical interconnects in distributed shared-memory systems.
Photonic Network Communications, 2008

Rent's rule and parallel programs: characterizing network traffic behavior.
Proceedings of the Tenth International Workshop on System-Level Interconnect Prediction (SLIP 2008), 2008

2007
Systematic Simulation-Based Predictive Synthesis of Integrated Optical Interconnect.
IEEE Trans. Very Large Scale Integr. Syst., 2007

Predicting reconfigurable interconnect performance in distributed shared-memory systems.
Integr., 2007

Synthetic traffic generation as a tool for dynamic interconnect evaluation.
Proceedings of the Ninth International Workshop on System-Level Interconnect Prediction (SLIP 2007), 2007

2006
Congestion modeling for reconfigurable inter-processor networks.
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.
Proceedings of the Frontiers of High Performance Computing and Networking, 2006

2005
Prediction model for evaluation of reconfigurable interconnects in distributed shared-memory systems.
Proceedings of the Seventh International Workshop on System-Level Interconnect Prediction (SLIP 2005), 2005

Towards reconfigurable optical networks on chip.
Proceedings of the 1st International Workshop on Reconfigurable Communication-centric Systems-on-Chip, 2005

Traffic Temporal Analysis for Reconfigurable Interconnects in Shared-Memory Systems.
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.
IEEE Trans. Very Large Scale Integr. Syst., 2004

2003
A comparison of various terminal-gate relationships for interconnect prediction in VLSI circuits.
IEEE Trans. Very Large Scale Integr. Syst., 2003

Fast estimation of the partitioning rent characteristic using a recursive partitioning model.
Proceedings of the 5th International Workshop on System-Level Interconnect Prediction (SLIP 2003), 2003

2002
A probabilistic approach to clock cycle prediction.
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.
Proceedings of the Fourth IEEE/ACM International Workshop on System-Level Interconnect Prediction (SLIP 2002), 2002

2001
On partitioning vs. placement rent properties.
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.
Proceedings of the Third IEEE/ACM International Workshop on System-Level Interconnect Prediction (SLIP 2001), March 31, 2001


  Loading...