Performance Analysis of 100 Mbps PACE Technology Ethernet Networks. - Aggeliki Pantazi; Theodore Antonakopoulos 001 (ISCC, 2001)

Equilibrium point analysis of the binary exponential backoff algorithm. - Aggeliki Pantazi; Theodore Antonakopoulos 001 (Comput. Commun., 2001)

A Nanotechnology-based Approach to Data Storage. - Evangelos Eleftheriou; Peter Bächtold; Giovanni Cherubini; Ajay Dholakia; Christoph Hagleitner; Teddy Loeliger; Aggeliki Pantazi; Haralampos Pozidis; T. R. Albrecht; Gerd Karl Binnig; Michel Despont; Ute Drechsler; et al. (VLDB, 2003)

VIRUS: a pseudo-framing method for cell-based interfaces. - Theodore Antonakopoulos 001; Alex Maniatopoulos; Aggeliki Pantazi; Vassilios Makios (Comput. Commun., 2003)

Nanopositioning for probe storage. - Abu Sebastian; Angeliki Pantazi; Giovanni Cherubini; Evangelos Eleftheriou; Mark A. Lantz; Haralampos Pozidis (ACC, 2005)

Two-sensor-based H∞ control for nanopositioning in probe storage. - Angeliki Pantazi; Abu Sebastian; Haralambos Pozidis; Evangelos Eleftheriou (CDC/ECC, 2005)

Signal processing for probe storage. - Haralampos Pozidis; Peter Bächtold; Giovanni Cherubini; Evangelos Eleftheriou; Christoph Hagleitner; Aggeliki Pantazi; Abu Sebastian (ICASSP (5), 2005)

Jitter Investigation and Performance Evaluation of a Small-Scale Probe Storage Device Prototype. - Abu Sebastian; Aggeliki Pantazi; Haralampos Pozidis (GLOBECOM, 2007)

Control of MEMS-Based Scanning-Probe Data-Storage Devices. - Angeliki Pantazi; Abu Sebastian; Giovanni Cherubini; Mark A. Lantz; Haralampos Pozidis; Hugo E. Rothuizen; Evangelos Eleftheriou (IEEE Trans. Control. Syst. Technol., 2007)

Probe-based ultrahigh-density storage technology. - Aggeliki Pantazi; Abu Sebastian; Theodore Antonakopoulos 001; Peter Bächtold; Anthony R. Bonaccio; Jose Bonan; Giovanni Cherubini; Michel Despont; Richard A. DiPietro; Ute Drechsler; Urs Dürig; Bernd Gotsmann; et al. (IBM J. Res. Dev., 2008)

Control for high-speed archimedean spiral nanopositioning. - Andreas Kotsopoulos; Aggeliki Pantazi; Theodore Antonakopoulos 001 (ICECS, 2010)

Multilevel phase-change memory. - Nikolaos Papandreou; Aggeliki Pantazi; Abu Sebastian; Matthew J. Breitwisch; Chung Hon Lam; Haralampos Pozidis; Evangelos Eleftheriou (ICECS, 2010)

Channel Modeling and Signal Processing for Probe Storage Channels. - Haralampos Pozidis; Giovanni Cherubini; Aggeliki Pantazi; Abu Sebastian; Evangelos Eleftheriou (IEEE J. Sel. Areas Commun., 2010)

Impulsive control for nanopositioning: stability and performance. - Tomas Tuma; Aggeliki Pantazi; John Lygeros; Abu Sebastian (HSCC, 2011)

Programming algorithms for multilevel phase-change memory. - Nikolaos Papandreou; Haralampos Pozidis; Aggeliki Pantazi; Abu Sebastian; Matthew J. Breitwisch; Chung Hon Lam; Evangelos Eleftheriou (ISCAS, 2011)

Optimal scan trajectories for high-speed scanning probe microscopy. - Tomas Tuma; John Lygeros; Abu Sebastian; Angeliki Pantazi (ACC, 2012)

Initial resolution of head position and skew uncertainty in control systems for flangeless tape drives. - Giovanni Cherubini; Jens Jelitto; Angeliki Pantazi (CDC, 2012)

A dual-stage nanopositioning approach to high-speed scanning probe microscopy. - Tomas Tuma; Walter Häberle; Hugo E. Rothuizen; John Lygeros; Angeliki Pantazi; Abu Sebastian (CDC, 2012)

Servo-Pattern Design and Track-Following Control for Nanometer Head Positioning on Flexible Tape Media. - Mark A. Lantz; Giovanni Cherubini; Angeliki Pantazi; Jens Jelitto (IEEE Trans. Control. Syst. Technol., 2012)

Nanopositioning With Multiple Sensors: A Case Study in Data Storage. - Abu Sebastian; Angeliki Pantazi (IEEE Trans. Control. Syst. Technol., 2012)

Identification of MIMO transport systems in tape drives. - Giovanni Cherubini; Angeliki Pantazi; Jens Jelitto (AIM, 2013)

Nanopositioning With Impulsive State Multiplication: A Hybrid Control Approach. - Tomas Tuma; Angeliki Pantazi; John Lygeros; Abu Sebastian (IEEE Trans. Control. Syst. Technol., 2013)

Nanoscale track-following for tape storage. - Angeliki Pantazi; Simeon Furrer; Hugo E. Rothuizen; Giovanni Cherubini; Jens Jelitto; Mark A. Lantz (ACC, 2015)

Learning spatio-temporal patterns in the presence of input noise using phase-change memristors. - Stanislaw Wozniak; Tomas Tuma; Angeliki Pantazi; Evangelos Eleftheriou (ISCAS, 2016)

Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns. - Severin Sidler; Angeliki Pantazi; Stanislaw Wozniak; Yusuf Leblebici; Evangelos Eleftheriou (ICANN (1), 2017)

Feature Learning Using Synaptic Competition in a Dynamically-Sized Neuromorphic Architecture. - Stanislaw Wozniak; Angeliki Pantazi; Yusuf Leblebici; Evangelos Eleftheriou (ICRC, 2017)

Neuromorphic system with phase-change synapses for pattern learning and feature extraction. - Stanislaw Wozniak; Angeliki Pantazi; Yusuf Leblebici; Evangelos Eleftheriou (IJCNN, 2017)

Neuromorphic Architecture With 1M Memristive Synapses for Detection of Weakly Correlated Inputs. - Stanislaw Wozniak; Angeliki Pantazi; Severin Sidler; Nikolaos Papandreou; Yusuf Leblebici; Evangelos Eleftheriou (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Compressional Wave Disturbance Suppression for Nanoscale Track-Following on Flexible Tape Media. - Simeon Furrer; Angeliki Pantazi; Giovanni Cherubini; Mark A. Lantz (ACC, 2018)

Online Feature Learning from a non-i.i.d. Stream in a Neuromorphic System with Synaptic Competition. - Stanislaw Wozniak; Angeliki Pantazi; Yusuf Leblebici; Evangelos Eleftheriou (IJCNN, 2018)

Deep Networks Incorporating Spiking Neural Dynamics. - Stanislaw Wozniak; Angeliki Pantazi; Evangelos Eleftheriou (CoRR, 2018)

Accelerating Spiking Neural Networks using Memristive Crossbar Arrays. - Thomas Bohnstingl; Angeliki Pantazi; Evangelos Eleftheriou (ICECS, 2020)

Online spatio-temporal learning in deep neural networks. - Thomas Bohnstingl; Stanislaw Wozniak; Wolfgang Maass 001; Angeliki Pantazi; Evangelos Eleftheriou (CoRR, 2020)

Deep learning incorporating biologically inspired neural dynamics and in-memory computing. - Stanislaw Wozniak; Angeliki Pantazi; Thomas Bohnstingl; Evangelos Eleftheriou (Nat. Mach. Intell., 2020)

Learning in Deep Neural Networks Using a Biologically Inspired Optimizer. - Giorgia Dellaferrera; Stanislaw Wozniak; Giacomo Indiveri; Angeliki Pantazi; Evangelos Eleftheriou (CoRR, 2021)

Towards efficient end-to-end speech recognition with biologically-inspired neural networks. - Thomas Bohnstingl; Ayush Garg 006; Stanislaw Wozniak; George Saon; Evangelos Eleftheriou; Angeliki Pantazi (CoRR, 2021)

Biologically Inspired Dynamics Enhance Deep Learning. - Stanislaw Wozniak; Thomas Bohnstingl; Angeliki Pantazi (ERCIM News, 2021)

Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware. - Thomas Bohnstingl; Anja Surina; Maxime Fabre; Yigit Demirag; Charlotte Frenkel; Melika Payvand; Giacomo Indiveri; Angeliki Pantazi (AICAS, 2022)

Speech Recognition Using Biologically-Inspired Neural Networks. - Thomas Bohnstingl; Ayush Garg 006; Stanislaw Wozniak; George Saon; Evangelos Eleftheriou; Angeliki Pantazi (ICASSP, 2022)

Approximating Relu Networks by Single-Spike Computation. - Ana Stanojevic; Evangelos Eleftheriou; Giovanni Cherubini; Stanislaw Wozniak; Angeliki Pantazi; Wulfram Gerstner (ICIP, 2022)

On the visual analytic intelligence of neural networks. - Stanislaw Wozniak; Hlynur Jónsson; Giovanni Cherubini; Angeliki Pantazi; Evangelos Eleftheriou (CoRR, 2022)

Online Spatio-Temporal Learning with Target Projection. - Thomas Ortner; Lorenzo Pes; Joris Gentinetta; Charlotte Frenkel; Angeliki Pantazi (AICAS, 2023)

Neuromorphic Optical Flow and Real-time Implementation with Event Cameras. - Yannick Schnider; Stanislaw Wozniak; Mathias Gehrig; Jules Lecomte; Axel von Arnim; Luca Benini; Davide Scaramuzza 001; Angeliki Pantazi (CVPR Workshops, 2023)

Are training trajectories of deep single-spike and deep ReLU network equivalent? - Ana Stanojevic; Stanislaw Wozniak; Guillaume Bellec; Giovanni Cherubini; Angeliki Pantazi; Wulfram Gerstner (CoRR, 2023)

Efficient Biologically Plausible Adversarial Training. - Matilde Tristany Farinha; Thomas Ortner; Giorgia Dellaferrera; Benjamin F. Grewe; Angeliki Pantazi (CoRR, 2023)

Design of Time-Encoded Spiking Neural Networks in 7-nm CMOS Technology. - Sandro Widmer; Marcel A. Kossel; Giovanni Cherubini; Stanislaw Wozniak; Pier Andrea Francese; Ana Stanojevic; Matthias Brändli; Klaus Frick; Angeliki Pantazi (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

An exact mapping from ReLU networks to spiking neural networks. - Ana Stanojevic; Stanislaw Wozniak; Guillaume Bellec; Giovanni Cherubini; Angeliki Pantazi; Wulfram Gerstner (Neural Networks, 2023)

Online Spatio-Temporal Learning in Deep Neural Networks. - Thomas Bohnstingl; Stanislaw Wozniak; Angeliki Pantazi; Evangelos Eleftheriou (IEEE Trans. Neural Networks Learn. Syst., 2023)

Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing. - Thomas Ortner; Horst Petschenig; Athanasios Vasilopoulos; Roland Renner; Spela Brglez; Thomas Limbacher; Enrique Piñero; Alejandro Linares-Barranco; Angeliki Pantazi; Robert Legenstein (CoRR, 2024)

Dynamic event-based optical identification and communication. - Axel von Arnim; Jules Lecomte; Naima Elosegui Borras; Stanislaw Wozniak; Angeliki Pantazi (Frontiers Neurorobotics, 2024)

Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88]. - Ana Stanojevic; Stanislaw Wozniak; Guillaume Bellec; Giovanni Cherubini; Angeliki Pantazi; Wulfram Gerstner (Neural Networks, 2024)

Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning. - Oleh Kolner; Thomas Ortner; Stanislaw Wozniak; Angeliki Pantazi (ICLR, 2025)

Live Demonstration: Improving efficiency of speech recognition with neuro-inspired units on AIU Spyre. - Yannick Schnider; Thomas Ortner; Stanislaw Wozniak; Alberto Mannari; Angeliki Pantazi (ISCAS, 2025)

FlowState: Sampling Rate Invariant Time Series Forecasting. - Lars Graf; Thomas Ortner; Stanislaw Wozniak; Angeliki Pantazi (CoRR, 2025)