Picture for Manolis Sifalakis

Manolis Sifalakis

Imec Netherlands

Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks

Add code
Aug 09, 2024
Viaarxiv icon

Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification

Add code
Jul 29, 2024
Viaarxiv icon

EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction

Add code
Jun 25, 2024
Viaarxiv icon

TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision

Add code
Jun 25, 2024
Viaarxiv icon

Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors

Add code
Apr 16, 2024
Figure 1 for Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors
Figure 2 for Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors
Figure 3 for Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors
Figure 4 for Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors
Viaarxiv icon

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking

Add code
Apr 15, 2023
Figure 1 for NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking
Figure 2 for NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking
Figure 3 for NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking
Figure 4 for NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking
Viaarxiv icon

Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design

Add code
Mar 27, 2023
Viaarxiv icon

Training for temporal sparsity in deep neural networks, application in video processing

Add code
Jul 15, 2021
Figure 1 for Training for temporal sparsity in deep neural networks, application in video processing
Figure 2 for Training for temporal sparsity in deep neural networks, application in video processing
Figure 3 for Training for temporal sparsity in deep neural networks, application in video processing
Figure 4 for Training for temporal sparsity in deep neural networks, application in video processing
Viaarxiv icon

Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark

Add code
Dec 13, 2017
Figure 1 for Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark
Figure 2 for Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark
Figure 3 for Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark
Figure 4 for Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark
Viaarxiv icon

Large-Scale Stochastic Learning using GPUs

Add code
Feb 22, 2017
Figure 1 for Large-Scale Stochastic Learning using GPUs
Figure 2 for Large-Scale Stochastic Learning using GPUs
Figure 3 for Large-Scale Stochastic Learning using GPUs
Figure 4 for Large-Scale Stochastic Learning using GPUs
Viaarxiv icon