Angeliki Pantazi

Online spatio-temporal learning in deep neural networks pdf

Evangelos Eleftheriou, Wolfgang Maass, Thomas Bohnstingl, 2020, ArXiv.

Comparison of two non-linear control approaches to fast nanopositioning: Impulsive control and signal transformation

John Lygeros, Abu Sebastian, Angeliki Pantazi, 2012 .

Deep learning incorporating biologically-inspired neural dynamics

Evangelos S. Eleftheriou, Thomas Bohnstingl, Angeliki Pantazi, 2018 .

Towards faster data access: Seek operations in MEMS-based storage devices

Haris Pozidis, Evangelos S. Eleftheriou, Mark A. Lantz, 2006 .

A high-speed electromagnetically-actuated scanner for dual-stage nanopositioning

John Lygeros, Abu Sebastian, Angeliki Pantazi, 2013 .

Probe-basedy storage

Theodore Antonakopoulos, Christoph Hagleitner, Walter Häberle, 2008 .

A Hybrid Control Approach to Nanopositioning

John Lygeros, Abu Sebastian, Angeliki Pantazi, 2013 .

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

Evangelos Eleftheriou, Thomas Bohnstingl, Angeliki Pantazi, 2020, Nature Machine Intelligence.