25 Gbit/s O-Band push-pull Mach-Zehnder silicon modulator for datacom applications. - Diego Pérez-Galacho; Charles Baudot; Tifenn Hirtzlin; Nathalie Vulliet; Sonia Messaoudene; Paul Crozat; Frédéric Boeuf; Laurent Vivien; Delphine Marris-Morini (ICTON, 2017)

Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions. - Damir Vodenicarevic; Nicolas Locatelli; Alice Mizrahi; Tifenn Hirtzlin; Joseph S. Friedman; Julie Grollier; Damien Querlioz (ISCAS, 2018)

Vowel recognition with four coupled spin-torque nano-oscillators. - Miguel Romera; Philippe Talatchian; Sumito Tsunegi; Flavio Abreu Araujo; Vincent Cros; Paolo Bortolotti; Juan Trastoy; Kay Yakushiji; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; Maxence Ernoult; et al. (Nat., 2018)

Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. - Tifenn Hirtzlin; Marc Bocquet; Jacques-Olivier Klein; Etienne Nowak; Elisa Vianello; Jean-Michel Portal; Damien Querlioz (AICAS, 2019)

Memory-Centric Neuromorphic Computing With Nanodevices. - Damien Querlioz; Julie Grollier; Tifenn Hirtzlin; Jacques-Olivier Klein; Etienne Nowak; Elisa Vianello; Marc Bocquet; Jean-Michel Portal; Miguel Romera; Philippe Talatchian (BioCAS, 2019)

Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction. - Tifenn Hirtzlin; Bogdan Penkovsky; Jacques-Olivier Klein; Nicolas Locatelli; Adrien F. Vincent; Marc Bocquet; Jean-Michel Portal; Damien Querlioz (NANOARCH, 2019)

Stochastic Computing for Hardware Implementation of Binarized Neural Networks. - Tifenn Hirtzlin; Bogdan Penkovsky; Marc Bocquet; Jacques-Olivier Klein; Jean-Michel Portal; Damien Querlioz (IEEE Access, 2019)

In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks. - Marc Bocquet; Tifenn Hirtzlin; Jacques-Olivier Klein; Etienne Nowak; Elisa Vianello; Jean-Michel Portal; Damien Querlioz (CoRR, 2019)

Microwave neural processing and broadcasting with spintronic nano-oscillators. - Philippe Talatchian; M. Romera; Sumito Tsunegi; Flavio Abreu Araujo; Vincent Cros; Paolo Bortolotti; Juan Trastoy; Kay Yakushiji; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; Maxence Ernoult; et al. (CoRR, 2019)

Digital Biologically Plausible Implementation of Binarized Neural Networks with Differential Hafnium Oxide Resistive Memory Arrays. - Tifenn Hirtzlin; Marc Bocquet; Bogdan Penkovsky; Jacques-Olivier Klein; Etienne Nowak; Elisa Vianello; Jean-Michel Portal; Damien Querlioz (CoRR, 2019)

Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse. - Axel Laborieux; Marc Bocquet; Tifenn Hirtzlin; Jacques-Olivier Klein; Liza Herrera Diez; Etienne Nowak; Elisa Vianello; Jean-Michel Portal; Damien Querlioz (AICAS, 2020)

In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications. - Bogdan Penkovsky; Marc Bocquet; Tifenn Hirtzlin; Jacques-Olivier Klein; Etienne Nowak; Elisa Vianello; Jean-Michel Portal; Damien Querlioz (DATE, 2020)

Embracing the Unreliability of Memory Devices for Neuromorphic Computing. - Marc Bocquet; Tifenn Hirtzlin; Jacques-Olivier Klein; Etienne Nowak; Elisa Vianello; Jean-Michel Portal; Damien Querlioz (IRPS, 2020)

Synaptic Metaplasticity in Binarized Neural Networks. - Axel Laborieux; Maxence Ernoult; Tifenn Hirtzlin; Damien Querlioz (CoRR, 2020)

Digital Implementation of Neuromorphic systems using Emerging Memory devices. (Conception de circuits neuromorphiques numériques exploitant des nano-composants émergents). - Tifenn Hirtzlin (2020)

CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks. - Fadi Jebali; Atreya Majumdar; Axel Laborieux; Tifenn Hirtzlin; Elisa Vianello; Jean-Pierre Walder; Marc Bocquet; Damien Querlioz; Jean-Michel Portal (MWSCAS, 2021)

Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks. - Atreya Majumdar; Marc Bocquet; Tifenn Hirtzlin; Axel Laborieux; Jacques-Olivier Klein; Etienne Nowak; Elisa Vianello; Jean-Michel Portal; Damien Querlioz (CoRR, 2021)

A Memristor-Based Bayesian Machine. - Kamel-Eddine Harabi; Tifenn Hirtzlin; Clement Türck; Elisa Vianello; Raphaël Laurent; Jacques Droulez; Pierre Bessière; Jean-Michel Portal; Marc Bocquet; Damien Querlioz (CoRR, 2021)

Implementation of Ternary Weights With Resistive RAM Using a Single Sense Operation Per Synapse. - Axel Laborieux; Marc Bocquet; Tifenn Hirtzlin; Jacques-Olivier Klein; Etienne Nowak; Elisa Vianello; Jean-Michel Portal; Damien Querlioz (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Frequency modulation of conductance level in PCM device for neuromorphic applications. - Ahmed Trabelsi; Carlo Cagli; Tifenn Hirtzlin; Olga Cueto; Marie Claire Cyrille; Elisa Vianello; Valentina Meli; Veronique Sousa; Guillaume Bourgeois; François Andrieu (ESSCIRC, 2022)

1S1R sub-threshold operation in Crossbar arrays for low power BNN inference computing. - Joel Minguet Lopez; François Rummens; Lucas Reganaz; A. Heraud; Tifenn Hirtzlin; Laurent Grenouillet; Gabriele Navarro; Mathieu Bernard; Catherine Carabasse; Niccolo Castellani; Valentina Meli; S. Martin; et al. (IMW, 2022)

Experimental demonstration of Single-Level and Multi-Level-Cell RRAM-based In-Memory Computing with up to 16 parallel operations. - Eduardo Esmanhotto; Tifenn Hirtzlin; Niccolo Castellani; S. Martin; Bastien Giraud; François Andrieu; Jean-François Nodin; Damien Querlioz; Jean-Michel Portal; Elisa Vianello (IRPS, 2022)

Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. - Filippo Moro; Eduardo Esmanhotto; Tifenn Hirtzlin; Niccolo Castellani; Ahmed Trabelsi; Thomas Dalgaty; Gabriel Molas; François Andrieu; Stefano Brivio; Sabina Spiga; Giacomo Indiveri; Melika Payvand; et al. (ISCAS, 2022)

Experimental Demonstration of Multilevel Resistive Random Access Memory Programming for up to Two Months Stable Neural Networks Inference Accuracy. - Eduardo Esmanhotto; Tifenn Hirtzlin; Djohan Bonnet; Niccolo Castellani; Jean-Michel Portal; Damien Querlioz; Elisa Vianello (Adv. Intell. Syst., 2022)

Synaptic metaplasticity with multi-level memristive devices. - Simone D'Agostino; Filippo Moro; Tifenn Hirtzlin; Julien Arcamone; Niccolo Castellani; Damien Querlioz; Melika Payvand; Elisa Vianello (AICAS, 2023)

A Multimode Hybrid Memristor-CMOS Prototyping Platform Supporting Digital and Analog Projects. - Kamel-Eddine Harabi; Clement Türck; Marie Drouhin; Adrien Renaudineau; Thomas Bersani-Veroni; Damien Querlioz; Tifenn Hirtzlin; Elisa Vianello; Marc Bocquet; Jean-Michel Portal (ASP-DAC, 2023)

Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors. - Clement Türck; Kamel-Eddine Harabi; Tifenn Hirtzlin; Elisa Vianello; Raphaël Laurent; Jacques Droulez; Pierre Bessière; Marc Bocquet; Jean-Michel Portal; Damien Querlioz (DATE, 2023)

1S1R Sub-Threshold Operation in Crossbar Arrays for Neural Networks Hardware Implementation. - Joel Minguet Lopez; Manon Dampfhoffer; Tifenn Hirtzlin; Lucas Reganaz; Laurent Grenouillet; Gabriele Navarro; Mathieu Bernard; Thomas Magis; Catherine Carabasse; Niccolo Castellani; Valentina Meli; Elisa Vianello; et al. (MIXDES, 2023)

Powering AI at the Edge: A Robust, Memristor-based Binarized Neural Network with Near-Memory Computing and Miniaturized Solar Cell. - Fadi Jebali; Atreya Majumdar; Clement Türck; Kamel-Eddine Harabi; Mathieu-Coumba Faye; Eloi Muhr; Jean-Pierre Walder; Oleksandr Bilousov; Amadeo Michaud; Elisa Vianello; Tifenn Hirtzlin; François Andrieu; et al. (CoRR, 2023)

Bayesian Metaplasticity from Synaptic Uncertainty. - Djohan Bonnet; Tifenn Hirtzlin; Tarcisius Januel; Thomas Dalgaty; Damien Querlioz; Elisa Vianello (CoRR, 2023)

Exploration of Low-Energy Floating-Point Flash Attention Mechanism for 18nm FD-SOI CMOS Integration at the Edge. - Joaquin Cornejo; Filipe Pouget; Sylvain Clerc; Tifenn Hirtzlin; Benoit Larras; Andreia Cathelin; Antoine Frappé (MWSCAS, 2024)

The Logarithmic Memristor-Based Bayesian Machine. - Clement Türck; Kamel-Eddine Harabi; Adrien Pontlevy; Théo Ballet; Tifenn Hirtzlin; Elisa Vianello; Raphaël Laurent; Jacques Droulez; Pierre Bessière; Marc Bocquet; Jean-Michel Portal; Damien Querlioz (CoRR, 2024)

Bayesian continual learning and forgetting in neural networks. - Djohan Bonnet; Kellian Cottart; Tifenn Hirtzlin; Tarcisius Januel; Thomas Dalgaty; Elisa Vianello; Damien Querlioz (CoRR, 2025)