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Sadique Sheik
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2020 – today
- 2024
- [c12]Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno:
Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware. CVPR Workshops 2024: 5684-5692 - 2023
- [d1]Steven Abreu, Felix Christian Bauer, Jason Eshraghian, Matthias Jobst, Gregor Lenz, Jens Egholm Pedersen, Sadique Sheik:
Neuromorphic Intermediate Representation. Zenodo, 2023 - [i12]Ole Richter, Yannan Xing, Michele De Marchi, Carsten Nielsen, Merkourios Katsimpris, Roberto Cattaneo, Yudi Ren, Qian Liu, Sadique Sheik, Tugba Demirci, Ning Qiao:
Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline. CoRR abs/2304.06793 (2023) - [i11]Gregor Lenz, Garrick Orchard, Sadique Sheik:
Ultra-low-power Image Classification on Neuromorphic Hardware. CoRR abs/2309.16795 (2023) - [i10]Jens E. 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:
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing. CoRR abs/2311.14641 (2023) - [i9]Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, Michele Magno:
A Low-Power Neuromorphic Approach for Efficient Eye-Tracking. CoRR abs/2312.00425 (2023) - 2022
- [i8]Felix Christian Bauer, Gregor Lenz, Saeid Haghighatshoar, Sadique Sheik:
EXODUS: Stable and Efficient Training of Spiking Neural Networks. CoRR abs/2205.10242 (2022) - 2021
- [i7]Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro:
Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision. CoRR abs/2110.02929 (2021) - [i6]Philipp Weidel, Sadique Sheik:
WaveSense: Efficient Temporal Convolutions with Spiking Neural Networks for Keyword Spotting. CoRR abs/2111.01456 (2021)
2010 – 2019
- 2019
- [c11]Qian Liu, Ole Richter, Carsten Nielsen, Sadique Sheik, Giacomo Indiveri, Ning Qiao:
Live Demonstration: Face Recognition on an Ultra-Low Power Event-Driven Convolutional Neural Network ASIC. CVPR Workshops 2019: 1680-1681 - [i5]Martino Sorbaro, Qian Liu, Massimo Bortone, Sadique Sheik:
Optimizing the energy consumption of spiking neural networks for neuromorphic applications. CoRR abs/1912.01268 (2019) - 2018
- [c10]Surabhi Kalyan, Siddharth Joshi, Sadique Sheik, Bruno U. Pedroni, Gert Cauwcnbcrghs:
Unsupervised Synaptic Pruning Strategies for Restricted Boltzmann Machines. BioCAS 2018: 1-4 - [c9]Bruno U. Pedroni, Sadique Sheik, Hesham Mostafa, Somnath Paul, Charles Augustine, Gert Cauwenberghs:
Small-footprint Spiking Neural Networks for Power-efficient Keyword Spotting. BioCAS 2018: 1-4 - 2017
- [c8]Hesham Mostafa Elsayed, Bruno U. Pedroni, Sadique Sheik, Gert Cauwenberghs:
Fast classification using sparsely active spiking networks. ISCAS 2017: 1-4 - [c7]Bruno U. Pedroni, Sadique Sheik, Gert Cauwenberghs:
Pipelined parallel contrastive divergence for continuous generative model learning. ISCAS 2017: 1-4 - [i4]Sadique Sheik, Somnath Paul, Charles Augustine, Gert Cauwenberghs:
Membrane-Dependent Neuromorphic Learning Rule for Unsupervised Spike Pattern Detection. CoRR abs/1701.01495 (2017) - [i3]Hesham Mostafa Elsayed, Bruno U. Pedroni, Sadique Sheik, Gert Cauwenberghs:
Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks. CoRR abs/1707.03049 (2017) - [i2]Georgios Detorakis, Sadique Sheik, Charles Augustine, Somnath Paul, Bruno U. Pedroni, Nikil D. Dutt, Jeffrey L. Krichmar, Gert Cauwenberghs, Emre Neftci:
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning. CoRR abs/1709.10205 (2017) - 2016
- [c6]Sadique Sheik, Somnath Paul, Charles Augustine, Gert Cauwenberghs:
Membrane-dependent neuromorphic learning rule for unsupervised spike pattern detection. BioCAS 2016: 164-167 - [c5]Bruno U. Pedroni, Sadique Sheik, Siddharth Joshi, Georgios Detorakis, Somnath Paul, Charles Augustine, Emre Neftci, Gert Cauwenberghs:
Forward table-based presynaptic event-triggered spike-timing-dependent plasticity. BioCAS 2016: 580-583 - [c4]Sadique Sheik, Somnath Paul, Charles Augustine, Chinnikrishna Kothapalli, Muhammad M. Khellah, Gert Cauwenberghs, Emre Neftci:
Synaptic sampling in hardware spiking neural networks. ISCAS 2016: 2090-2093 - [i1]Bruno U. Pedroni, Sadique Sheik, Siddharth Joshi, Georgios Detorakis, Somnath Paul, Charles Augustine, Emre Neftci, Gert Cauwenberghs:
Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity. CoRR abs/1607.03070 (2016) - 2014
- [j2]Fabio Stefanini, Emre Neftci, Sadique Sheik, Giacomo Indiveri:
PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. Frontiers Neuroinformatics 8: 73 (2014) - 2013
- [b1]Sadique Sheik:
Autonomous learning in neuromorphic systems for recognition of spatio-temporal spike patterns. ETH Zurich, Zürich, Switzerland, 2013 - [c3]Sadique Sheik, Michael Pfeiffer, Fabio Stefanini, Giacomo Indiveri:
Spatio-temporal Spike Pattern Classification in Neuromorphic Systems. Living Machines 2013: 262-273 - 2012
- [c2]Sadique Sheik, Elisabetta Chicca, Giacomo Indiveri:
Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays. IJCNN 2012: 1-6 - 2011
- [j1]Robert Mill, Sadique Sheik, Giacomo Indiveri, Susan L. Denham:
A Model of Stimulus-Specific Adaptation in Neuromorphic Analog VLSI. IEEE Trans. Biomed. Circuits Syst. 5(5): 413-419 (2011) - [c1]Sadique Sheik, Fabio Stefanini, Emre Neftci, Elisabetta Chicca, Giacomo Indiveri:
Systematic configuration and automatic tuning of neuromorphic systems. ISCAS 2011: 873-876
Coauthor Index
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last updated on 2024-11-08 21:27 CET by the dblp team
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