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Technical papers

Scientific publications: Journal Papers

  • Vianello, A. Valentian, “Section 2.4 – Enabling technologies for the future heterogeneous neuromorphic accelerators,” in “2021 Roadmap on Neuromorphic Computing and Engineering” of IOP Publishing – Journal Neuromorphic Computing and Engineering, 2021.
  • Martin, M. Ernoult, Jérémie Laydevant, Shuai-shuai Li, D. Querlioz, Teodora Petrisor, J. Grollier – “EqSpike: spike-driven equilibrium propagation for neuromorphic implementations”, iScience 2021 Feb 20;24(3). https://www.cell.com/iscience/fulltext/S2589-0042(21)00190-5?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2589004221001905%3Fshowall%3Dtrue
  • Amirreza Yousefzadeh, Manolis Sifalakis, “Training for temporal sparsity in deep neural networks, application in video processing”, Computer Science > Vision and Pattern Recognition arXiv:2107.0v1 [Cs.CV] 15 July 2107.07305. https://doi.org/10.48550/arXiv.2107.07305, https://arxiv.org/pdf/2107.07305.pdf
  • Büchel, D. Zendrikov, S. Solinas, G. Indiveri, D. R. Muir, “Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors”, Nature, 2021. https://www.nature.com/articles/s41598-021-02779-x
  • J. Jokic , E. A. Azarkhish , A. B. Bonetti , M. P. Pons , S. E. Emery , L. B. Benini, “A Construction Kit for Efficient Low Power Neural Network Accelerator Designs: Construction Kit for Low Power NN Accelerators”, ACM Transactions on Embedded Computing Systems. Accepted February 2022. https://dl.acm.org/doi/10.1145/3520127
  • J Minguet Lopez et al , “OxRAM + OTS optimization for binarized neural network hardware implementation” 2022 Semicond. Technol. 37 014001. https://iopscience.iop.org/article/10.1088/1361-6641/ac31e2
  • Dennis V Christensen et al, “2022 roadmap on neuromorphic computing and engineering”, 2022 Neuromorph. Eng. 2 022501. https://iopscience.iop.org/article/10.1088/2634-4386/ac4a83
  • Tiago Dominguez, Tomas Brandao, Joao C. Ferreira “Machine Learning for Detection and Prediction of Crop Diseases and Pests: A Comprehensive Survey”. MDPI/Agriculture 1 September 2022, https://doi.org/10.3390/agriculture12091350
  • Tiago Dominguez, Tomas Brandao, Ricardo Ribeiro Joao C. Ferreira, “Insect detection in Sticky Trap Images of Tomato Crops Using Machine Learning” , MDPI/Agriculture 21 November 2022. https://doi.org/10.3390/agriculture12111967
  • Petar Jokic, Erfan Azarkhish, Andrea Bonetti, Marc Pons, Stephane Emery, and Luca Benini. 2022. A Construction Kit for Efficient Low Power Neural Network Accelerator Designs. ACM Trans. Embedded. Computing. Syst. 21, 5, Article 56 (October 2022), 36 pages. https://doi.org/10.1145/3520127.
  • Amirhossein Rostami, Bernhard Vogginger, Yexin Yan, Christian G. Mayr, E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware. Publication in Frontiers of Neuromorphic Engineering, 28 November 2022, Sec. Neuromorphic Engineering. https://doi.org/10.3389/fnins.2022.1018006
  • Lennart Bamberg, Arash Pourtaherian, Luc Waeijen, Anupam Hahar, Orlando Moreira, “Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators”, IEEE Transactions on Parallel and Distributed Systems, Vol. 34, Issue 4, April 2023, pp1227-1240. https://doi.org/10.1109/TPDS.2023.3239517
  • Gianfranco Mauro, Ignacio Martinez-Rodriguez, Julius Ott, ·Lorenzo Servadei, · Robert Wille, · Manuel P. Cuellar, · Diego P. Morales-Santos, “Context-definable radar-based people counting via few-shot learning”. Published 8 August 2023 at https://link.springer.com/article/10.1007/s10489-023-04778-z as Applied Intelligence (2023) 53:25359–25387 https://doi.org/10.1007/s10489-023-04778-z
  • Zhe Su, Hyunjung Hwang, Tristan Torchet, Giacomo Indiveri , “Core interface optimization for multi-core neuromorphic processor”, Computer Science > Hardware Architecture [Cs.AR], Neural and Evolutionary computing (cs.NE) arXiv:2308.04171 v1 [Cs.AR], 8 Aug 2023, https://doi.org/10.48550/arXiv.2308.04171, https://arxiv.org/pdf/2308.04171.pdf

Scientific publications: Conference Papers

  • -R. Léquepeys, M. Duranton, S. Bonnetier, S. Catrou, R. Fournel, T. Ernst, L. Hérault, D. Louis, A. Jerraya, A. Valentian, F. Perruchot, T. Signamarcheix, E. Vianello, C. Reita, “Overcoming the Data Deluge Challenges with Greener Electronics,” Joint Plenary Paper, ESSDERC – ESSCIRC Conference, Grenoble, France, September 2021.
  • Narduzzi, S. A. Bigdeli, S. -C. Liu and L. A. Dunbar, “Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization,” ICASSP 2022 – 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 61-65, doi: 10.1109/ICASSP43922.2022.9746375. https://ieeexplore.ieee.org/abstract/document/9746375
  • M. Lopez et al., “Ge-Se-Sb-N-based OTS scaling perspectives for high-density 1 S1R crossbar arrays,” 2021 IEEE International Memory Workshop (IMW), 2021, pp. 1-4, doi: 10.1109/IMW51353.2021.9439606. https://ieeexplore.ieee.org/document/9439606
  • M. Lopez et al., “1S1R sub-threshold operation in Crossbar arrays for low power BNN inference computing,” 2022 IEEE International Memory Workshop (IMW), 2022, pp. 1-4, doi: 10.1109/IMW52921.2022.9779253. https://ieeexplore.ieee.org/document/9779253
  • Matthias Völker, Roland Müller, Sreenivas Jambunathan, Julio Wissing, Philipp Woller, Nicolas Witt, Loreto Mateu. “Flexible Low-Power KI-Bechleuniger”

Konferenz: EASS 2022, 11. GMM_Fachtagung Energie Autonome Sensorsysteme EASS 2022, July 2022.

  • Simon Narduzzi, Loreto Mateu, Petar Jokic, Erfan Azarkhish, and Andrea Dunbar: CSEM. “Benchmarking Neuromorphic Computing for Inference”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, September 2022.
  • Maarten Molendijk, Kanishkan Vadivel, Federico Corradi, Gert-Jan van Schaik, Amirreza Yousefzadeh, and Henk Corporaal, imec-NL, “Benchmarking the Epiphany Processor as a Reference Neuromorphic Architecture”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, September 2022
  • Preetha Vijayan, Amirreza Yousefzadeh, Manolis Sifalakis, Rene van Leuken; imec-NL, “Temporal Delta Layer: Exploiting Temporal Sparsity in Deep Neural Networks for Time-Series Data”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, September 2022
  • Simon Narduzzi, Dorvan Favre, Nuria Pazos Escudero and L. Andrea Dunbar; CSEM “Deploying a Convolutional Neural Network on Edge MCU and Neuromorphic Hardware Platforms”. Book published on the presentation done during the “Industrial Artificial Intelligence: Technologies and Applications (EAIA)” on July 25-26, 2022, in Vienna, Austria. River Publishers Series in Communications, September 2022. https://doi.org/10.13052/rp-9788770227902
  • Loreto Mateu, Johannes Leugering, Roland Müller, Yogesh Patil, Maen Mallah, Marco Breiling and Ferdinand Pscheidl; Fraunhofer. “Tools and Methodologies for Edge-AI Mixed-Signal Inference Accelerators”. Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022. https://publica.fraunhofer.de/handle/publica/448686
  • Sourav De, Sunanda Thunder, David Lehninger, Michael P.M. Jank, Maximilian Lederer, Yannick Raffel, Konrad Seidel, and Thomas Kämpfe; Fraunhofer, “Low-Power Vertically Stacked One Time Programmable Multi-bit IGZO-Based BEOL Compatible Ferroelectric TFT Memory Devices with Lifelong Retention for Monolithic 3D-Inference Engine Applications”.Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022
  • Ivan Miro-Panades, Inna Kucher, Vincent Lorrain, and Alexandre Valentian ; CEA, “Meeting the Latency and Energy Constraints on Timing-critical Edge-AI Systems”, CEA, Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022. https://doi.org/10.1201/9781003394440
  • Hannah Bos and Dylan Muir; SynSense, “Sub-mW Neuromorphic SNN Audio Processing Applications with Rockpool and Xylo”. Book published on the presentation done during the Embedded Artificial Intelligence (EAI) Workshop ESSICR September 19th in Milano, Italy. River Publishers Series in Communications, December 2022. https://ieeexplore.ieee.org/book/9967439
  • Antonio Gracia-Berna, Michael Hardt, Adriana Febles Rodriguez, Daniel Pereira, Pablo Losada‡, Sergio Peiteado, Enrique Romay, Alvaro Rodrıguez, Javier Menendez, Marcos Lopez, “A performance characterization of AI algorithms on energy-efficient hardware with applications to robust autonomous landing”. Best Paper Award UAS/AMM Landing Systems BOS paper 3012 at https://2023.dasconline.org/best-paper-awards 42nd Digital Avionics Systems Conference (DASC), October 1-5 2023, Barcelona, Spain. https://ieeexplore.ieee.org/document/10311239
  • Chang, P. Jokic, S. Emery, L. “Benini, An Ultra-Low-Power Serial Implementation for Sigmoid and Tanh Using CORDIC Algorithm”, IEEE, 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE). https://ieeexplore.ieee.org/document/10136960
  • Chen Liu, Jiawei Li, Hector A. Gonzalez, Bernhard Vogginger, Christian Mayr, “Complex-Valued Neural Networks for Doppler Disambiguation in FMCW Radars”, IEEE, IRS 2023. https://doi.org/10.23919/IRS57608.2023.10172424
  • Roland Müller, Loreto Mateu, Ralf Brederlow, “Analog/Mixed-Signal Standard Cell Based Approach for Automated Circuit Generation of Neural Network Accelerator”, IEEE, Málaga, Spain, DCIS 2023.

Pengcheng Xu, Lei Zhang, Ferdinand Pscheidl, David Borggreve, Frank Vanselow, Ralf Brederlow, “A Dynamic Charge-Transfer-Based Crossbar with Low Sensitivity to Parasitic Wire-Resistance”, ISCAS 2023. https://ieeexplore.ieee.org/document/9937243