Olivier Bichler

41 papers A* 1A 3B 6C 5Journal 13Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs. CoRR Lucas Maisonnave, Cyril Moineau, Olivier Bichler, Fabrice Rastello
2025	J	`jnl`	Precision Where It Matters: A Novel Spike Aware Mixed-Precision Quantization Strategy for LLaMA-based Language Models. CoRR Lucas Maisonnave, Cyril Moineau, Olivier Bichler, Fabrice Rastello
2024	—	`conf`	A 772μJ/frame ImageNet Feature Extractor Accelerator on HD Images at 30FPS. APCCAS Ivan Miro-Panades, Vincent Lorrain, Lilian Billod, Inna Kucher, Vincent Templier, Sylvain Choisnet, Nermine Ali, Baptiste Rossigneux, Olivier Bichler, Alexandre Valentian
2024	C	`conf`	Efficient Neural Compression with Inference-time Decoding. ISCAS Clément Metz, Olivier Bichler, Antoine Dupret
2024	J	`jnl`	Efficient Neural Compression with Inference-time Decoding. CoRR Clément Metz, Olivier Bichler, Antoine Dupret
2024	—	`conf`	Live Demonstration: A 772μJ/frame ImageNet Feature Extractor Accelerator on HD Images at 30FPS. APCCAS Ivan Miro-Panades, Vincent Lorrain, Lilian Billod, Inna Kucher, Vincent Templier, Sylvain Choisnet, Nermine Ali, Baptiste Rossigneux, Olivier Bichler, Alexandre Valentian
2023	A	`conf`	Lattice Quantization. DATE Clément Metz, Thibault Allenet, Johannes C. Thiele, Antoine Dupret, Olivier Bichler
2022	—	`conf`	Disentangled Loss for Low-Bit Quantization-Aware Training. CVPR Workshops Thibault Allenet, David Briand, Olivier Bichler, Olivier Sentieys
2021	—	`conf`	Memory Efficient Invertible Neural Networks for Class-Incremental Learning. AICAS Guillaume Hocquet, Olivier Bichler, Damien Querlioz
2020	B	`conf`	OvA-INN: Continual Learning with Invertible Neural Networks. IJCNN Guillaume Hocquet, Olivier Bichler, Damien Querlioz
2020	J	`jnl`	OvA-INN: Continual Learning with Invertible Neural Networks. CoRR Guillaume Hocquet, Olivier Bichler, Damien Querlioz
2020	A*	`conf`	SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes. ICLR Johannes C. Thiele, Olivier Bichler, Antoine Dupret
2019	B	`conf`	A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation. IJCNN Johannes C. Thiele, Olivier Bichler, Antoine Dupret, Sergio M. G. Solinas, Giacomo Indiveri
2019	J	`jnl`	A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation. CoRR Johannes C. Thiele, Olivier Bichler, Antoine Dupret, Sergio M. G. Solinas, Giacomo Indiveri
2019	A	`conf`	Advanced 3D Technologies and Architectures for 3D Smart Image Sensors. DATE Pascal Vivet, Gilles Sicard, Laurent Millet, Stéphane Chevobbe, Karim Ben Chehida, Luis Angel Cubero, Monte Alegre, Maxence Bouvier, Alexandre Valentian, Maria Lepecq, Thomas Dombek, Olivier Bichler, Sébastien Thuries, Didier Lattard, Séverine Cheramy, Perrine Batude, Fabien Clermidy
2019	J	`jnl`	SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes. CoRR Johannes Christian Thiele, Olivier Bichler, Antoine Dupret
2018	B	`conf`	A Timescale Invariant STDP-Based Spiking Deep Network for Unsupervised Online Feature Extraction from Event-Based Sensor Data. IJCNN Johannes C. Thiele, Olivier Bichler, Antoine Dupret
2018	J	`jnl`	Event-Based, Timescale Invariant Unsupervised Online Deep Learning With STDP. Frontiers Comput. Neurosci. Johannes C. Thiele, Olivier Bichler, Antoine Dupret
2018	A	`conf`	PNeuro: A scalable energy-efficient programmable hardware accelerator for neural networks. DATE Alexandre Carbon, Jean-Marc Philippe, Olivier Bichler, Renaud Schmit, Benoît Tain, David Briand, Nicolas Ventroux, Michel Paindavoine, Olivier Brousse
2017	—	`conf`	Bioinspired Programming of Resistive Memory Devices for Implementing Spiking Neural Networks. ACM Great Lakes Symposium on VLSI Elisa Vianello, Thilo Werner, Alessandro Grossi, Etienne Nowak, Barbara De Salvo, Luca Perniola, Olivier Bichler, Blaise Yvert
2016	C	`conf`	Real-time decoding of brain activity by embedded Spiking Neural Networks using OxRAM synapses. ISCAS Thilo Werner, Daniele Garbin, Elisa Vianello, Olivier Bichler, Daniel Cattaert, Blaise Yvert, Barbara De Salvo, Luca Perniola
2015	J	`jnl`	Bioinspired Programming of Memory Devices for Implementing an Inference Engine. Proc. IEEE Damien Querlioz, Olivier Bichler, Adrien Francis Vincent, Christian Gamrat
2015	C	`conf`	Emerging resistive memories for low power embedded applications and neuromorphic systems. ISCAS Barbara De Salvo, Elisa Vianello, Olivier Thomas, Fabien Clermidy, Olivier Bichler, Christian Gamrat, Luca Perniola
2015	—	`conf`	On the impact of OxRAM-based synapses variability on convolutional neural networks performance. NANOARCH Daniele Garbin, Elisa Vianello, Olivier Bichler, M. Azzaz, Quentin Rafhay, Philippe Candelier, Christian Gamrat, Gérard Ghibaudo, Barbara De Salvo, Luca Perniola
2015	J	`jnl`	Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems. IEEE Trans. Biomed. Circuits Syst. Adrien F. Vincent, Jerome Larroque, Nicolas Locatelli, Nesrine Ben Romdhane, Olivier Bichler, Christian Gamrat, Weisheng Zhao, Jacques-Olivier Klein, Sylvie Galdin-Retailleau, Damien Querlioz
2014	—	`conf`	Advanced technologies for brain-inspired computing. ASP-DAC Fabien Clermidy, Rodolphe Héliot, Alexandre Valentian, Christian Gamrat, Olivier Bichler, Marc Duranton, Bilel Belhadj, Olivier Temam
2014	—	`conf`	Sneak paths effects in CBRAM memristive devices arrays for spiking neural networks. NANOARCH David Roclin, Olivier Bichler, Christian Gamrat, Jacques-Olivier Klein
2014	C	`conf`	Spin-transfer torque magnetic memory as a stochastic memristive synapse. ISCAS Adrien F. Vincent, Jerome Larroque, Weisheng Zhao, Nesrine Ben Romdhane, Olivier Bichler, Christian Gamrat, Jacques-Olivier Klein, Sylvie Galdin-Retailleau, Damien Querlioz
2013	—	`conf`	Design exploration methodology for memristor-based spiking neuromorphic architectures with the Xnet event-driven simulator. NANOARCH Olivier Bichler, David Roclin, Christian Gamrat, Damien Querlioz
2013	B	`conf`	Design study of efficient digital order-based STDP neuron implementations for extracting temporal features. IJCNN David Roclin, Olivier Bichler, Christian Gamrat, Simon J. Thorpe, Jacques-Olivier Klein
2013	—	`conf`	Impact of PCM resistance-drift in neuromorphic systems and drift-mitigation strategy. NANOARCH Manan Suri, Daniele Garbin, Olivier Bichler, Damien Querlioz, Dominique Vuillaume, Christian Gamrat, Barbara De Salvo
2013	J	`jnl`	Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors. Neural Comput. Olivier Bichler, Weisheng Zhao, Fabien Alibart, Stéphane Pleutin, Stéphane Lenfant, Dominique Vuillaume, Christian Gamrat
2013	J	`jnl`	Pavlov's dog associative learning demonstrated on synaptic-like organic transistors CoRR Olivier Bichler, Weisheng Zhao, Fabien Alibart, Stéphane Pleutin, Stéphane Lenfant, Dominique Vuillaume, Christian Gamrat
2012	—	`conf`	Bioinspired networks with nanoscale memristive devices that combine the unsupervised and supervised learning approaches. NANOARCH Damien Querlioz, Weisheng Zhao, Philippe Dollfus, Jacques-Olivier Klein, Olivier Bichler, Christian Gamrat
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). Olivier Bichler
2012	J	`jnl`	Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity. Neural Networks Olivier Bichler, Damien Querlioz, Simon J. Thorpe, Jean-Philippe Bourgoin, Christian Gamrat
2011	J	`jnl`	A memristive nanoparticle/organic hybrid synapstor for neuro-inspired computing CoRR Fabien Alibart, Stéphane Pleutin, Olivier Bichler, Christian Gamrat, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Dominique Vuillaume
2011	—	`conf`	Learning with memristive devices: How should we model their behavior? NANOARCH Damien Querlioz, Philippe Dollfus, Olivier Bichler, Christian Gamrat
2011	B	`conf`	Simulation of a memristor-based spiking neural network immune to device variations. IJCNN Damien Querlioz, Olivier Bichler, Christian Gamrat
2011	B	`conf`	Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity. IJCNN Olivier Bichler, Damien Querlioz, Simon J. Thorpe, Jean-Philippe Bourgoin, Christian Gamrat
2010	C	`conf`	Development of a functional model for the Nanoparticle-Organic Memory transistor. ISCAS Olivier Bichler, Weisheng Zhao, Christian Gamrat, Fabien Alibart, Stéphane Pleutin, Dominique Vuillaume