Timoleon Moraitis

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Top Venues

Publications

Christoph Weilenmann, Alexandros Nikolaos Ziogas, Till Zellweger, Kevin Portner, Marko Mladenovic, Manasa Kaniselvan, Timoleon Moraitis, Mathieu Luisier, Alexandros Emboras
Single Neuromorphic Memristor closely Emulates Multiple Synaptic Mechanisms for Energy Efficient Neural Networks. CoRR (2024)
Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
Hebbian Deep Learning Without Feedback. ICLR (2023)
Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
Short-Term Plasticity Neurons Learning to Learn and Forget. ICML (2022)
Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
Hebbian Deep Learning Without Feedback. CoRR (2022)
Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
Spike-inspired rank coding for fast and accurate recurrent neural networks. ICLR (2022)
Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
Short-Term Plasticity Neurons Learning to Learn and Forget. CoRR (2022)
Franz Scherr, Qinghai Guo, Timoleon Moraitis
Self-Supervised Learning Through Efference Copies. CoRR (2022)
Timoleon Moraitis, Dmitry Toichkin, Adrien Journé, Yansong Chua, Qinghai Guo
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. Neuromorph. Comput. Eng. 2 (4) (2022)
Franz Scherr, Qinghai Guo, Timoleon Moraitis
Self-Supervised Learning Through Efference Copies. NeurIPS (2022)
Syed Ghazi Sarwat, Timoleon Moraitis, C. David Wright, Harish Bhaskaran
Chalcogenide optomemristors for multi-factor neuromorphic computation. CoRR (2021)
Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks. CoRR (2021)
Timoleon Moraitis, Dmitry Toichkin, Yansong Chua, Qinghai Guo
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. CoRR (2021)
Ana Stanojevic, Giovanni Cherubini, Timoleon Moraitis, Abu Sebastian
File Classification Based on Spiking Neural Networks. CoRR (2020)
Ana Stanojevic, Giovanni Cherubini, Timoleon Moraitis, Abu Sebastian
File Classification Based on Spiking Neural Networks. ISCAS (2020)
Timoleon Moraitis, Abu Sebastian, Evangelos Eleftheriou
Short-term synaptic plasticity optimally models continuous environments. CoRR (2020)
Timoleon Moraitis, Abu Sebastian, Evangelos Eleftheriou
Spiking Neural Networks Enable Two-Dimensional Neurons and Unsupervised Multi-Timescale Learning. IJCNN (2018)
Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou
Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes. IJCNN (2017)
Raphaela Kreiser, Timoleon Moraitis, Yulia Sandamirskaya, Giacomo Indiveri
On-chip unsupervised learning in winner-take-all networks of spiking neurons. BioCAS (2017)
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
An efficient synaptic architecture for artificial neural networks. NVMTS (2017)
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas P. Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
Neuromorphic computing with multi-memristive synapses. CoRR (2017)
Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou
Fatiguing STDP: Learning from Spike-Timing Codes in the Presence of Rate Codes. CoRR (2017)