Federico Corradi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
9
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCAS | AURA: A Reconfigurable Asynchronous Spiking Processor for Low-Power Sensory Systems. | Shimeng Ye, Stijn Van Himste, Roel Jordans, Sander Stuijk, Federico Corradi |
| 2025 | IJCNN | Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection. | Shenqi Wang, Yingfu Xu, Amirreza Yousefzadeh, Sherif Eissa, Henk Corporaal, Federico Corradi, Guangzhi Tang |
| 2025 | ISLPED | Neuromorphic Edge Computing: Challenges, Opportunities, and Current Solutions. | Federico Corradi, Amir Zjajo, Letcia Maria Bolzani Poehls, Milos Krstic, Orlando Moreira, Zeqi Zhu, Farhad Merchant |
| 2024 | ACSSC | Spike Vision: A Fully Spiking Neural Network Transformer-Inspired Model for Dynamic Vision Sensors. | Zhanbo Shen, Federico Corradi |
| 2023 | DATE | PetaOps/W edge-AI $\mu$ Processors: Myth or reality? | Manil Dev Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Friedemann Zenke, Frank K. Grkaynak, Barry de Bruin, Sander Stuijk, Simon Davidson, Sayandip De, Mounir Ghogho, Alexandra Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, Sam Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Gneysu, Henk Corporaal |
| 2023 | ICANN | QMTS: Fixed-point Quantization for Multiple-timescale Spiking Neural Networks. | Sherif Eissa, Federico Corradi, Floran de Putter, Sander Stuijk, Henk Corporaal |
| 2023 | ISCAS | Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. | Alberto Patio-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernab Linares-Barranco, Manolis Sifalakis |
| 2023 | ISLPED | Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network. | Edgar Luhulima, Madeleine Abernot, Federico Corradi, Aida Todri-Sanial |
| 2022 | DATE | Design of Many-Core Big Little Brains for Energy-Efficient Embedded Neuromorphic Computing. | M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor |
| 2022 | ICRA | Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp. | Marina Gonzlez-lvarez, Julien Dupeyroux, Federico Corradi, Guido C. H. E. de Croon |
| 2020 | DSD | Key Enabling Technologies for Drones. | Mahmoud Hussein, Rda Nouacer, Yassine Ouhammou, Eugenio Villar, Federico Corradi, Carlo Tieri, Rodrigo Castieira |
| 2019 | CVPR | DHP19: Dynamic Vision Sensor 3D Human Pose Dataset. | Enrico Calabrese, Gemma Taverni, Christopher Awai Easthope, Sophie Skriabine, Federico Corradi, Luca Longinotti, Kynan Eng, Tobi Delbruck |
| 2019 | IJCNN | ECG-based Heartbeat Classification in Neuromorphic Hardware. | Federico Corradi, Sandeep Pande, Jan Stuijt, Ning Qiao, Siebren Schaafsma, Giacomo Indiveri, Francky Catthoor |
| 2017 | ISCAS | Live demonstration: Convolutional neural network driven by dynamic vision sensor playing RoShamBo. | Iulia-Alexandra Lungu, Federico Corradi, Tobi Delbruck |
| 2015 | ISCAS | Decision making and perceptual bistability in spike-based neuromorphic VLSI systems. | Federico Corradi, Hongzhi You, Massimiliano Giulioni, Giacomo Indiveri |
| 2014 | ISCAS | Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation. | Federico Corradi, Chris Eliasmith, Giacomo Indiveri |
| 2014 | ISCAS | A hybrid analog/digital Spike-Timing Dependent Plasticity learning circuit for neuromorphic VLSI multi-neuron architectures. | Hesham Mostafa, Federico Corradi, Fabio Stefanini, Giacomo Indiveri |