Charlotte Frenkel
Universität Zürich
H-index: 15
Europe-Switzerland
Top articles of Charlotte Frenkel
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks | arXiv preprint arXiv:2404.19419 | Lorenzo Pes Rick Luiken Federico Corradi Charlotte Frenkel | 2024/4/30 |
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision | arXiv preprint arXiv:2404.19489 | Yufeng Yang Adrian Kneip Charlotte Frenkel | 2024/4/30 |
Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units | Chiara Boretti Luciano Prono Charlotte Frenkel Giacomo Indiveri Fabio Pareschi | 2023/5/21 | |
Exploring information-theoretic criteria to accelerate the tuning of neuromorphic level-crossing adcs | Ali Safa Jonah Van Assche Charlotte Frenkel Andre Bourdoux Francky Catthoor | 2023/4/11 | |
Focus issue on energy-efficient neuromorphic devices, systems and algorithms | Neuromorphic Computing and Engineering | Adnan Mehonic Charlotte Frenkel Eleni Vasilaki | 2023/10/31 |
SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders | Shyam Narayanan Matteo Cartiglia Arianna Rubino Charles Lego Charlotte Frenkel | 2023/10/19 | |
Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking | arXiv preprint arXiv:2304.04640 | Jason Yik Soikat Hasan Ahmed Zergham Ahmed Brian Anderson Andreas G Andreou | 2023/4/10 |
Online spatio-temporal learning with target projection | Thomas Ortner Lorenzo Pes Joris Gentinetta Charlotte Frenkel Angeliki Pantazi | 2023/6/11 | |
Bottom-up and top-down approaches for the design of neuromorphic processing systems: tradeoffs and synergies between natural and artificial intelligence | Charlotte Frenkel David Bol Giacomo Indiveri | 2023/6/5 | |
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices | Shyam Narayanan Erika Covi Viktor Havel Charlotte Frenkel Suzanne Lancaster | 2022/5/27 | |
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems | Matteo Cartiglia Arianna Rubino Shyam Narayanan Charlotte Frenkel Germain Haessig | 2022/5/27 | |
Spiking neural network integrated circuits: A review of trends and future directions | Arindam Basu Lei Deng Charlotte Frenkel Xueyong Zhang | 2022/4/24 | |
ReckOn: A 28nm sub-mm2 task-agnostic spiking recurrent neural network processor enabling on-chip learning over second-long timescales | Charlotte Frenkel Giacomo Indiveri | 2022/2/20 | |
THOR -- A Neuromorphic Processor with 7.29G TSOP/mmJs Energy-Throughput Efficiency | arXiv preprint arXiv:2212.01696 | Mayank Senapati Manil Dev Gomony Sherif Eissa Charlotte Frenkel Henk Corporaal | 2022/12/3 |
Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware | Thomas Bohnstingl Anja Šurina Maxime Fabre Yiğit Demirağ Charlotte Frenkel | 2022/6/13 | |
Online training of spiking recurrent neural networks with phase-change memory synapses | arXiv preprint arXiv:2108.01804 | Yigit Demirag Charlotte Frenkel Melika Payvand Giacomo Indiveri | 2021/8/4 |
PCM-trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials | Yiğit Demirağ Filippo Moro Thomas Dalgaty Gabriele Navarro Charlotte Frenkel | 2021/5/22 | |
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 … | IEEE Journal of Solid-State Circuits | David Bol Maxime Schramme Ludovic Moreau Pengcheng Xu Rémi Dekimpe | 2021/2/24 |
Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks | Frontiers in neuroscience | Charlotte Frenkel Martin Lefebvre David Bol | 2021/2/10 |
Sparsity provides a competitive advantage | Nature Machine Intelligence | Charlotte Frenkel | 2021/9 |
Co-Authors
