Olivier Bichler

According to our database1, Olivier Bichler authored at least 30 papers between 2010 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Disentangled Loss for Low-Bit Quantization-Aware Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Memory Efficient Invertible Neural Networks for Class-Incremental Learning.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
OvA-INN: Continual Learning with Invertible Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Advanced 3D Technologies and Architectures for 3D Smart Image Sensors.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Event-Based, Timescale Invariant Unsupervised Online Deep Learning With STDP.
Frontiers Comput. Neurosci., 2018

A Timescale Invariant STDP-Based Spiking Deep Network for Unsupervised Online Feature Extraction from Event-Based Sensor Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

PNeuro: A scalable energy-efficient programmable hardware accelerator for neural networks.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
Bioinspired Programming of Resistive Memory Devices for Implementing Spiking Neural Networks.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

2016
Real-time decoding of brain activity by embedded Spiking Neural Networks using OxRAM synapses.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015
Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems.
IEEE Trans. Biomed. Circuits Syst., 2015

Bioinspired Programming of Memory Devices for Implementing an Inference Engine.
Proc. IEEE, 2015

On the impact of OxRAM-based synapses variability on convolutional neural networks performance.
Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures, 2015

Emerging resistive memories for low power embedded applications and neuromorphic systems.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014
Sneak paths effects in CBRAM memristive devices arrays for spiking neural networks.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2014

Spin-transfer torque magnetic memory as a stochastic memristive synapse.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Advanced technologies for brain-inspired computing.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

2013
Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors.
Neural Comput., 2013

Impact of PCM resistance-drift in neuromorphic systems and drift-mitigation strategy.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013

Design exploration methodology for memristor-based spiking neuromorphic architectures with the Xnet event-driven simulator.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013

Design study of efficient digital order-based STDP neuron implementations for extracting temporal features.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Contribution à la conception d'architecture de calcul auto-adaptative intégrant des nanocomposants neuromorphiques et applications potentielles. (Adaptive Computing Architectures Based on Nano-fabricated Components).
PhD thesis, 2012

Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity.
Neural Networks, 2012

Bioinspired networks with nanoscale memristive devices that combine the unsupervised and supervised learning approaches.
Proceedings of the 2012 IEEE/ACM International Symposium on Nanoscale Architectures, 2012

2011
A memristive nanoparticle/organic hybrid synapstor for neuro-inspired computing
CoRR, 2011

Learning with memristive devices: How should we model their behavior?
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures, 2011

Simulation of a memristor-based spiking neural network immune to device variations.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Development of a functional model for the Nanoparticle-Organic Memory transistor.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010


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