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ORCIDManolis Sifalakis
- > Home > Persons > Manolis Sifalakis
Publications
- 2025
[j9]Yingfu Xu
, Guangzhi Tang, Amirreza Yousefzadeh, Guido C. H. E. de Croon, Manolis Sifalakis:
Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification. Neural Networks 188: 107447 (2025)- [j8]Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis:
Exploring the Limitations of Layer Synchronization in Spiking Neural Networks. Trans. Mach. Learn. Res. 2025 (2025) - [c35]Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh, Guangzhi Tang:
Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing. AICAS 2025: 1-5 - [c33]Prithvish Nembhani, Oliver Rhodes, Guangzhi Tang, Alexandra F. Dobrita, Yingfu Xu, Kanishkan Vadivel, Kevin Shidqi, Paul Detterer, Mario Konijnenburg, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh:
SENMap: Multi-objective dataflow mapping & synthesis for hybrid scalable neuromorphic systems. IJCNN 2025: 1-8 - [i17]Roy Meijer, Paul Detterer, Amirreza Yousefzadeh, Alberto Patiño-Saucedo, Guangzhi Tang, Kanishkan Vadivel, Yinfu Xu, Manil Dev Gomony, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis:
Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators. CoRR abs/2501.13610 (2025) - [i16]Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh, Guangzhi Tang:
Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing. CoRR abs/2501.16337 (2025) - [i15]Prithvish Nembhani, Oliver Rhodes, Guangzhi Tang, Alexandra F. Dobrita, Yingfu Xu, Kanishkan Vadivel, Kevin Shidqi, Paul Detterer, Mario Konijnenburg, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh:
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems. CoRR abs/2506.03450 (2025) - 2024
- [j7]Paul Hueber, Guangzhi Tang, Manolis Sifalakis, Hua-Peng Liaw, Aurora Micheli, Nergis Tomen, Yao-Hong Liu:
Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces. Neuromorph. Comput. Eng. 4(2): 24008 (2024) - [j6]Alexandra F. Dobrita, Amirreza Yousefzadeh, Simon Thorpe, Kanishkan Vadivel, Paul Detterer, Guangzhi Tang, Gert-Jan van Schaik, Mario Konijnenburg, Anteneh Gebregiorgis, Said Hamdioui, Manolis Sifalakis:
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction. IEEE Trans. Circuits Syst. Artif. Intell. 1(2): 128-140 (2024) - [c31]Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang:
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-Based Vision. ICONS 2024: 94-101 - [c30]Prithvish Nembhani, Kanishkan Vadivel, Guangzhi Tang, Mohammad Tahghighi, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh:
SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems. IJCNN 2024: 1-6 - [i13]Alexandra F. Dobrita, Amirreza Yousefzadeh, Simon Thorpe, Kanishkan Vadivel, Paul Detterer, Guangzhi Tang, Gert-Jan van Schaik, Mario Konijnenburg, Anteneh Gebregiorgis, Said Hamdioui, Manolis Sifalakis:
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction. CoRR abs/2406.17285 (2024) - [i12]Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang:
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision. CoRR abs/2406.17483 (2024) - [i11]Yingfu Xu, Guangzhi Tang, Amirreza Yousefzadeh, Guido de Croon, Manolis Sifalakis:
Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification. CoRR abs/2407.20421 (2024) - [i10]Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis:
Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks. CoRR abs/2408.05098 (2024) - 2023
- [c28]Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis:
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. ISCAS 2023: 1-5 - [c27]Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh:
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design. ISCAS 2023: 1-5 - [i9]Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh:
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design. CoRR abs/2303.15224 (2023) - [i8]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, P. 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 Michael 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 abs/2304.04640 (2023) - [i7]Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis:
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. CoRR abs/2309.05345 (2023)
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