Sadique Sheik

According to our database, Sadique Sheik authored at least 26 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware.

Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Neuromorphic Intermediate Representation.

Steven Abreu, Felix Christian Bauer, Jason Eshraghian, Matthias Jobst, Gregor Lenz, Jens Egholm Pedersen, Sadique Sheik

Dataset, July, 2023

A Low-Power Neuromorphic Approach for Efficient Eye-Tracking.

Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno

CoRR, 2023

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing.

Jens Egholm Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Jason K. Eshraghian, Sadique Sheik

CoRR, 2023

Ultra-low-power Image Classification on Neuromorphic Hardware.

Gregor Lenz, Garrick Orchard, Sadique Sheik

CoRR, 2023

Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline.

Ole Richter, Yannan Xing, Michele De Marchi, Carsten Nielsen, Merkourios Katsimpris, Roberto Cattaneo, Yudi Ren, Qian Liu, Sadique Sheik, Tugba Demirci, Ning Qiao

CoRR, 2023

2022

EXODUS: Stable and Efficient Training of Spiking Neural Networks.

Felix Christian Bauer, Gregor Lenz, Saeid Haghighatshoar, Sadique Sheik

CoRR, 2022

2021

WaveSense: Efficient Temporal Convolutions with Spiking Neural Networks for Keyword Spotting.

Philipp Weidel, Sadique Sheik

CoRR, 2021

Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision.

Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro

CoRR, 2021

2019

Optimizing the energy consumption of spiking neural networks for neuromorphic applications.

Martino Sorbaro, Qian Liu, Massimo Bortone, Sadique Sheik

CoRR, 2019

Live Demonstration: Face Recognition on an Ultra-Low Power Event-Driven Convolutional Neural Network ASIC.

Qian Liu, Ole Richter, Carsten Nielsen, Sadique Sheik, Giacomo Indiveri, Ning Qiao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Small-footprint Spiking Neural Networks for Power-efficient Keyword Spotting.

Bruno U. Pedroni, Sadique Sheik, Hesham Mostafa, Somnath Paul, Charles Augustine, Gert Cauwenberghs

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

Unsupervised Synaptic Pruning Strategies for Restricted Boltzmann Machines.

Surabhi Kalyan, Siddharth Joshi, Sadique Sheik, Bruno U. Pedroni, Gert Cauwcnbcrghs

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017

Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning.

Georgios Detorakis, Sadique Sheik, Charles Augustine, Somnath Paul, Bruno U. Pedroni, Nikil D. Dutt, Jeffrey L. Krichmar, Gert Cauwenberghs, Emre Neftci

CoRR, 2017

Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks.

Hesham Mostafa Elsayed, Bruno U. Pedroni, Sadique Sheik, Gert Cauwenberghs

CoRR, 2017

Pipelined parallel contrastive divergence for continuous generative model learning.

Bruno U. Pedroni, Sadique Sheik, Gert Cauwenberghs

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Fast classification using sparsely active spiking networks.

Hesham Mostafa Elsayed, Bruno U. Pedroni, Sadique Sheik, Gert Cauwenberghs

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016

Synaptic sampling in hardware spiking neural networks.

Sadique Sheik, Somnath Paul, Charles Augustine, Chinnikrishna Kothapalli, Muhammad M. Khellah, Gert Cauwenberghs, Emre Neftci

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Membrane-dependent neuromorphic learning rule for unsupervised spike pattern detection.

Sadique Sheik, Somnath Paul, Charles Augustine, Gert Cauwenberghs

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

Forward table-based presynaptic event-triggered spike-timing-dependent plasticity.

Bruno U. Pedroni, Sadique Sheik, Siddharth Joshi, Georgios Detorakis, Somnath Paul, Charles Augustine, Emre Neftci, Gert Cauwenberghs

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

2014

PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems.

Fabio Stefanini, Emre Neftci, Sadique Sheik, Giacomo Indiveri

Frontiers Neuroinformatics, 2014

2013

Autonomous learning in neuromorphic systems for recognition of spatio-temporal spike patterns.

Sadique Sheik

PhD thesis, 2013

Spatio-temporal Spike Pattern Classification in Neuromorphic Systems.

Sadique Sheik, Michael Pfeiffer, Fabio Stefanini, Giacomo Indiveri

Proceedings of the Biomimetic and Biohybrid Systems, 2013

2012

Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays.

Sadique Sheik, Elisabetta Chicca, Giacomo Indiveri

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

A Model of Stimulus-Specific Adaptation in Neuromorphic Analog VLSI.

Robert Mill, Sadique Sheik, Giacomo Indiveri, Susan L. Denham

IEEE Trans. Biomed. Circuits Syst., 2011

Systematic configuration and automatic tuning of neuromorphic systems.

Sadique Sheik, Fabio Stefanini, Emre Neftci, Elisabetta Chicca, Giacomo Indiveri

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011