Angeliki Pantazi

IEEE Trans. Neural Networks Learn. Syst., November, 2023

An exact mapping from ReLU networks to spiking neural networks.

[BibT_eX]

[DOI]

Neural Networks, November, 2023

Design of Time-Encoded Spiking Neural Networks in 7-nm CMOS Technology.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, September, 2023

Efficient Biologically Plausible Adversarial Training.

[BibT_eX]

[DOI]

Matilde Tristany Farinha

CoRR, 2023

Are training trajectories of deep single-spike and deep ReLU network equivalent?

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic Event-based Optical Identification and Communication.

[BibT_eX]

[DOI]

Axel von Arnim

Jules Lecomte

Naima Elosegui Borras

CoRR, 2023

Neuromorphic Optical Flow and Real-time Implementation with Event Cameras.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Online Spatio-Temporal Learning with Target Projection.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

On the visual analytic intelligence of neural networks.

[BibT_eX]

[DOI]

CoRR, 2022

Approximating Relu Networks by Single-Spike Computation.

[BibT_eX]

[DOI]

Ana Stanojevic

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Speech Recognition Using Biologically-Inspired Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

Biologically Inspired Dynamics Enhance Deep Learning.

[BibT_eX]

[DOI]

ERCIM News, 2021

Towards efficient end-to-end speech recognition with biologically-inspired neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

Learning in Deep Neural Networks Using a Biologically Inspired Optimizer.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Deep learning incorporating biologically inspired neural dynamics and in-memory computing.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2020

Online spatio-temporal learning in deep neural networks.

[BibT_eX]

[DOI]

CoRR, 2020

Accelerating Spiking Neural Networks using Memristive Crossbar Arrays.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020

2018

Deep Networks Incorporating Spiking Neural Dynamics.

[BibT_eX]

[DOI]

CoRR, 2018

Online Feature Learning from a non-i.i.d. Stream in a Neuromorphic System with Synaptic Competition.

[BibT_eX]

[DOI]

Yusuf Leblebici

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Compressional Wave Disturbance Suppression for Nanoscale Track-Following on Flexible Tape Media.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Neuromorphic Architecture With 1M Memristive Synapses for Detection of Weakly Correlated Inputs.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2017

Neuromorphic system with phase-change synapses for pattern learning and feature extraction.

[BibT_eX]

[DOI]

Yusuf Leblebici

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Feature Learning Using Synaptic Competition in a Dynamically-Sized Neuromorphic Architecture.

[BibT_eX]

[DOI]

Yusuf Leblebici

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Learning spatio-temporal patterns in the presence of input noise using phase-change memristors.

[BibT_eX]

[DOI]

Tomas Tuma

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

2015

Nanoscale track-following for tape storage.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2013

Nanopositioning With Impulsive State Multiplication: A Hybrid Control Approach.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2013

Identification of MIMO transport systems in tape drives.

[BibT_eX]

[DOI]

Jens Jelitto

Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2013

2012

Nanopositioning With Multiple Sensors: A Case Study in Data Storage.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2012

Servo-Pattern Design and Track-Following Control for Nanometer Head Positioning on Flexible Tape Media.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2012

A dual-stage nanopositioning approach to high-speed scanning probe microscopy.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Initial resolution of head position and skew uncertainty in control systems for flangeless tape drives.

[BibT_eX]

[DOI]

Jens Jelitto

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Optimal scan trajectories for high-speed scanning probe microscopy.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2012

2011

Programming algorithms for multilevel phase-change memory.

[BibT_eX]

[DOI]

Matthew J. Breitwisch

Chung Hon Lam

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

Impulsive control for nanopositioning: stability and performance.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM International Conference on Hybrid Systems: Computation and Control, 2011

2010

Channel Modeling and Signal Processing for Probe Storage Channels.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2010

Multilevel phase-change memory.

[BibT_eX]

[DOI]

Nikolaos Papandreou

Matthew J. Breitwisch

Chung Hon Lam

Proceedings of the 17th IEEE International Conference on Electronics, 2010

Control for high-speed archimedean spiral nanopositioning.

[BibT_eX]

[DOI]

Andreas Kotsopoulos

Proceedings of the 17th IEEE International Conference on Electronics, 2010

2008

Probe-based ultrahigh-density storage technology.

[BibT_eX]

[DOI]

IBM J. Res. Dev., 2008

2007

Control of MEMS-Based Scanning-Probe Data-Storage Devices.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2007

Jitter Investigation and Performance Evaluation of a Small-Scale Probe Storage Device Prototype.

[BibT_eX]

[DOI]

Proceedings of the Global Communications Conference, 2007

2005

Signal processing for probe storage.

[BibT_eX]

[DOI]

Peter Bächtold

Christoph Hagleitner

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Two-sensor-based H∞ control for nanopositioning in probe storage.

[BibT_eX]

[DOI]

Haralambos Pozidis

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Nanopositioning for probe storage.

[BibT_eX]

[DOI]

Mark A. Lantz

Proceedings of the American Control Conference, 2005

2003

VIRUS: a pseudo-framing method for cell-based interfaces.

[BibT_eX]

[DOI]

Alex Maniatopoulos

Vassilios Makios

Comput. Commun., 2003

A Nanotechnology-based Approach to Data Storage.

[BibT_eX]

[DOI]

Proceedings of 29th International Conference on Very Large Data Bases, 2003

2001

Equilibrium point analysis of the binary exponential backoff algorithm.

[BibT_eX]

[DOI]

Comput. Commun., 2001

Performance Analysis of 100 Mbps PACE Technology Ethernet Networks.

[BibT_eX]

[DOI]