List of works - Joni Dambre

A Differentiable Physics Engine for Deep Learning in Robotics

scholarly article by Jonas Degrave et al published 2019 in Frontiers in neurorobotics

A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing

A training algorithm for networks of high-variability reservoirs

scientific article published on 02 September 2020

Advances in photonic reservoir computing on an integrated platform

All-Optical Reservoir Computing on a Photonic Chip Using Silicon-Based Ring Resonators

article published in 2018

Automated design of complex dynamic systems

scientific article

Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes

scientific article published on 28 September 2017

BRUNO: A Deep Recurrent Model for Exchangeable Data ⬇️

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

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

Cascadable excitability in microrings.

scientific article published in August 2012

Cascadable excitability in optically injected microdisks

Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion

scientific article published on 29 August 2019

Computing using delayed feedback systems: towards photonics

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition

scientific article published on 2 March 2016

Efficient simulation of optical nonlinear cavity circuits

Excitability in optically injected microdisk lasers with phase controlled excitatory and inhibitory response

scientific article

Excitation transfer between optically injected microdisk lasers

scientific article

Experimental demonstration of reservoir computing on a silicon photonics chip.

scientific article published on 24 March 2014

Fast Face-Swap Using Convolutional Neural Networks

scholarly article published October 2017

Fast particle characterization using digital holography and neural networks

scientific article published on January 2016

Gesture and Sign Language Recognition with Temporal Residual Networks

Guest Editorial System-Level Interconnect Prediction

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

scientific article published on 11 April 2019

Improving zero-training brain-computer interfaces by mixing model estimators.

scientific article

Information processing capacity of dynamical systems

scientific article published on 19 July 2012

Information processing using a single dynamical node as complex system

scientific article

Integrated pillar scatterers for speeding up classification of cell holograms.

scientific article published in November 2017

Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits.

scientific article published on 8 February 2018

Lumped Circuit Heat Model of Photonic Crystal Membrane Nanocavities

Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry

scientific article published on 26 November 2020

Memory versus non-linearity in reservoirs

Memristor models for machine learning ⬇️

scientific article published on 20 January 2015

Morphological Properties of Mass-Spring Networks for Optimal Locomotion Learning

scientific article

Nanophotonic reservoir computing with photonic crystal cavities to generate periodic patterns.

scientific article published in February 2014

Neuromorphic Computing Based on Silicon Photonics and Reservoir Computing

Numerical demonstration of neuromorphic computing with photonic crystal cavities

scientific article published on 01 April 2018

Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing

scholarly article published 10 February 2011

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

Optoelectronic Systems Trained With Backpropagation Through Time.

scientific article published on 15 August 2014

Optoelectronic reservoir computing.

scientific article published on 27 February 2012

Parallel reservoir computing using optical amplifiers

scientific article published on 29 July 2011

Photonic reservoir computing and information processing with coupled semiconductor optical amplifiers

Photonic reservoir computing: A new approach to optical information processing

Photonic reservoir computing: a new approach to optical information processing

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

Reconfigurable interconnection networks in Distributed Shared Memory systems: a study on communication patterns

Reconfigurable optical interconnects for parallel computer systems: design space issues

Rent's rule and parallel programs

Reservoir computing: a photonic neural network for information processing

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

scientific article

Rotation-invariant convolutional neural networks for galaxy morphology prediction ⬇️

scientific article

Selective optical broadcasting in reconfigurable multiprocessor interconnects

article published in 2006

Sense and nonsense of logic-level optical interconnect: reflections on an experiment

article

Simplified description of self-pulsation and excitability by thermal and free-carrier effects in semiconductor microcavities

Synchronization solutions for parallel short-range optical interconnect in mesochronous systems

Synthetic traffic generation as a tool for dynamic interconnect evaluation

Time-domain and frequency-domain modeling of nonlinear optical components at the circuit-level using a node-based approach

Towards a symbiotic brain-computer interface: exploring the application-decoder interaction.

scientific article published on 18 November 2015

Towards improved design and evaluation of epileptic seizure predictors.

scientific article

Trainable hardware for dynamical computing using error backpropagation through physical media ⬇️

scientific article

Training Passive Photonic Reservoirs With Integrated Optical Readout

Transfer learning of gaits on a quadrupedal robot

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

scientific article published on 23 November 2015

List of works by Joni Dambre

A Differentiable Physics Engine for Deep Learning in Robotics

A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing

A training algorithm for networks of high-variability reservoirs

Advances in photonic reservoir computing on an integrated platform

All-Optical Reservoir Computing on a Photonic Chip Using Silicon-Based Ring Resonators

Automated design of complex dynamic systems

Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes

BRUNO: A Deep Recurrent Model for Exchangeable Data ⬇️

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

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

Cascadable excitability in microrings.

Cascadable excitability in optically injected microdisks

Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion

Computing using delayed feedback systems: towards photonics

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition

Efficient simulation of optical nonlinear cavity circuits

Excitability in optically injected microdisk lasers with phase controlled excitatory and inhibitory response

Excitation transfer between optically injected microdisk lasers

Experimental demonstration of reservoir computing on a silicon photonics chip.

Fast Face-Swap Using Convolutional Neural Networks

Fast particle characterization using digital holography and neural networks

Gesture and Sign Language Recognition with Temporal Residual Networks

Guest Editorial System-Level Interconnect Prediction

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

Improving zero-training brain-computer interfaces by mixing model estimators.

Information processing capacity of dynamical systems

Information processing using a single dynamical node as complex system

Integrated pillar scatterers for speeding up classification of cell holograms.

Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits.

Lumped Circuit Heat Model of Photonic Crystal Membrane Nanocavities

Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry

Memory versus non-linearity in reservoirs

Memristor models for machine learning ⬇️

Morphological Properties of Mass-Spring Networks for Optimal Locomotion Learning

Nanophotonic reservoir computing with photonic crystal cavities to generate periodic patterns.

Neuromorphic Computing Based on Silicon Photonics and Reservoir Computing

Numerical demonstration of neuromorphic computing with photonic crystal cavities

Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing

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

Optoelectronic Systems Trained With Backpropagation Through Time.

Optoelectronic reservoir computing.

Parallel reservoir computing using optical amplifiers

Photonic reservoir computing and information processing with coupled semiconductor optical amplifiers

Photonic reservoir computing: A new approach to optical information processing

Photonic reservoir computing: a new approach to optical information processing

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

Reconfigurable interconnection networks in Distributed Shared Memory systems: a study on communication patterns

Reconfigurable optical interconnects for parallel computer systems: design space issues

Rent's rule and parallel programs

Reservoir computing: a photonic neural network for information processing

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

Rotation-invariant convolutional neural networks for galaxy morphology prediction ⬇️

Selective optical broadcasting in reconfigurable multiprocessor interconnects

Sense and nonsense of logic-level optical interconnect: reflections on an experiment

Simplified description of self-pulsation and excitability by thermal and free-carrier effects in semiconductor microcavities

Synchronization solutions for parallel short-range optical interconnect in mesochronous systems

Synthetic traffic generation as a tool for dynamic interconnect evaluation

Time-domain and frequency-domain modeling of nonlinear optical components at the circuit-level using a node-based approach

Towards a symbiotic brain-computer interface: exploring the application-decoder interaction.

Towards improved design and evaluation of epileptic seizure predictors.

Trainable hardware for dynamical computing using error backpropagation through physical media ⬇️

Training Passive Photonic Reservoirs With Integrated Optical Readout

Transfer learning of gaits on a quadrupedal robot

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