Charlotte Frenkel

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 45

Top Topics

Future Directions

Eligibility Traces

Top Venues

Publications

Theocharis Theocharides, Charlotte Frenkel, Lukas Cavigelli
Introduction to the Special Issue on tinyML. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Lorenzo Pes, Rick Luiken, Federico Corradi, Charlotte Frenkel
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks. AICAS (2024)
Yufeng Yang, Adrian Kneip, Charlotte Frenkel
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision. CoRR (2024)
Alejandro Linares-Barranco, Luciano Prono, Robert Legenstein, Giacomo Indiveri, Charlotte Frenkel
Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator. CoRR (2024)
Lorenzo Pes, Rick Luiken, Federico Corradi, Charlotte Frenkel
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks. CoRR (2024)
Thomas Ortner, Lorenzo Pes, Joris Gentinetta, Charlotte Frenkel, Angeliki Pantazi
Online Spatio-Temporal Learning with Target Projection. CoRR (2023)
Charlotte Frenkel, David Bol, Giacomo Indiveri
Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence. Proc. IEEE 111 (6) (2023)
Ali Safa, Jonah Van Assche, Charlotte Frenkel, André Bourdoux, Francky Catthoor, Georges G. E. Gielen
Exploring Information-Theoretic Criteria to Accelerate the Tuning of Neuromorphic Level-Crossing ADCs. NICE (2023)
Shyam Narayanan, Matteo Cartiglia, Arianna Rubino, Charles Lego, Charlotte Frenkel, Giacomo Indiveri
SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders. CoRR (2023)
Thomas Ortner, Lorenzo Pes, Joris Gentinetta, Charlotte Frenkel, Angeliki Pantazi
Online Spatio-Temporal Learning with Target Projection. AICAS (2023)
Adnan Mehonic, Charlotte Frenkel, Eleni Vasilaki
Editorial: Focus issue on energy-efficient neuromorphic devices, systems and algorithms. Neuromorph. Comput. Eng. 3 (4) (2023)
Shyam Narayanan, Matteo Cartiglia, Arianna Rubino, Charles Lego, Charlotte Frenkel, Giacomo Indiveri
SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders. BioCAS (2023)
Chiara Boretti, Luciano Prono, Charlotte Frenkel, Giacomo Indiveri, Fabio Pareschi, Mauro Mangia, Riccardo Rovatti, Gianluca Setti
Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units. ISCAS (2023)
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR (2023)
Mayank Senapati, Manil Dev Gomony, Sherif Eissa, Charlotte Frenkel, Henk Corporaal
THOR - A Neuromorphic Processor with 7.29G TSOP$^2$/mm$^2$Js Energy-Throughput Efficiency. CoRR (2022)
Charlotte Frenkel, Giacomo Indiveri
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales. CoRR (2022)
Shyam Narayanan, Erika Covi, Viktor Havel, Charlotte Frenkel, Suzanne Lancaster, Quang T. Duong, Stefan Slesazeck, Thomas Mikolajick, Melika Payvand, Giacomo Indiveri
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices. CoRR (2022)
Arindam Basu, Lei Deng, Charlotte Frenkel, Xueyong Zhang
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions. CICC (2022)
Thomas Bohnstingl, Anja Surina, Maxime Fabre, Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri, Angeliki Pantazi
Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware. AICAS (2022)
Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. CoRR (2022)
Shyam Narayanan, Erika Covi, Viktor Havel, Charlotte Frenkel, Suzanne Lancaster, Quang T. Duong, Stefan Slesazeck, Thomas Mikolajick, Melika Payvand, Giacomo Indiveri
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices. ISCAS (2022)
Arindam Basu, Charlotte Frenkel, Lei Deng, Xueyong Zhang
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions. CoRR (2022)
Charlotte Frenkel, Giacomo Indiveri
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales. ISSCC (2022)
Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. ISCAS (2022)
Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri
Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses. CoRR (2021)
David Bol, Maxime Schramme, Ludovic Moreau, Pengcheng Xu, Rémi Dekimpe, Roghayeh Saeidi, Thomas Haine, Charlotte Frenkel, Denis Flandre
SleepRunner: A 28-nm FDSOI ULP Cortex-M0 MCU With ULL SRAM and UFBR PVT Compensation for 2.6-3.6-μW/DMIPS 40-80-MHz Active Mode and 131-nW/kB Fully Retentive Deep-Sleep Mode. IEEE J. Solid State Circuits 56 (7) (2021)
Charlotte Frenkel
Sparsity provides a competitive advantage. Nat. Mach. Intell. 3 (9) (2021)
Yigit Demirag, Filippo Moro, Thomas Dalgaty, Gabriele Navarro, Charlotte Frenkel, Giacomo Indiveri, Elisa Vianello, Melika Payvand
PCM-Trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials. ISCAS (2021)
Charlotte Frenkel, David Bol, Giacomo Indiveri
Bottom-Up and Top-Down Neural Processing Systems Design: Neuromorphic Intelligence as the Convergence of Natural and Artificial Intelligence. CoRR (2021)
Yigit Demirag, Filippo Moro, Thomas Dalgaty, Gabriele Navarro, Charlotte Frenkel, Giacomo Indiveri, Elisa Vianello, Melika Payvand
PCM-trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials. CoRR (2021)
Charlotte Frenkel, Jean-Didier Legat, David Bol
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas. CoRR (2020)
Charlotte Frenkel, Jean-Didier Legat, David Bol
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas. ISCAS (2020)
Charlotte Frenkel, Jean-Didier Legat, David Bol
Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning. IEEE Trans. Biomed. Circuits Syst. 13 (5) (2019)
Charlotte Frenkel, Jean-Didier Legat, David Bol
Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning. CoRR (2019)
Charlotte Frenkel, Martin Lefebvre, David Bol
Learning without feedback: Direct random target projection as a feedback-alignment algorithm with layerwise feedforward training. CoRR (2019)
Charlotte Frenkel, Martin Lefebvre, Jean-Didier Legat, David Bol
12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS. IEEE Trans. Biomed. Circuits Syst. 13 (1) (2019)
Charlotte Frenkel, Jean-Didier Legat, David Bol
Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning. ISCAS (2019)
David Bol, Maxime Schramme, Ludovic Moreau, Thomas Haine, Pengcheng Xu, Charlotte Frenkel, Remi Dekimpe, François Stas, Denis Flandre
A 40-to-80MHz Sub-4μW/MHz ULV Cortex-M0 MCU SoC in 28nm FDSOI With Dual-Loop Adaptive Back-Bias Generator for 20μs Wake-Up From Deep Fully Retentive Sleep Mode. ISSCC (2019)
Charlotte Frenkel, Jean-Didier Legat, David Bol
9.8-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS. CoRR (2018)
Charlotte Frenkel, Jean-Didier Legat, David Bol
A compact phenomenological digital neuron implementing the 20 Izhikevich behaviors. BioCAS (2017)
Charlotte Frenkel, Giacomo Indiveri, Jean-Didier Legat, David Bol
A fully-synthesized 20-gate digital spike-based synapse with embedded online learning. ISCAS (2017)
Guerric de Streel, François Stas, Thibaut Gurne, François Durant, Charlotte Frenkel, Andreia Cathelin, David Bol
SleepTalker: A ULV 802.15.4a IR-UWB Transmitter SoC in 28-nm FDSOI Achieving 14 pJ/b at 27 Mb/s With Channel Selection Based on Adaptive FBB and Digitally Programmable Pulse Shaping. IEEE J. Solid State Circuits 52 (4) (2017)
Guerric de Streel, François Stas, Thibaut Gurne, François Durant, Charlotte Frenkel, David Bol
SleepTalker: A 28nm FDSOI ULV 802.15.4a IR-UWB transmitter SoC achieving 14pJ/bit at 27Mb/s with adaptive-FBB-based channel selection and programmable pulse shape. VLSI Circuits (2016)
Charlotte Frenkel, Jean-Didier Legat, David Bol
Comparative analysis of redundancy schemes for soft-error detection in low-cost space applications. VLSI-SoC (2016)
Charlotte Frenkel, Jean-Didier Legat, David Bol
A Partial Reconfiguration-based scheme to mitigate Multiple-Bit Upsets for FPGAs in low-cost space applications. ReCoSoC (2015)