Nikolaos Passalis

Assistant Professor, Dept. of Chemical Engineering, Aristotle University of Thessaloniki

Joined

July 2019

Names

Nikolaos Passalis

Emails

****@csd.auth.gr (Confirmed)

****@auth.gr (Confirmed)

****@cheng.auth.gr (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Assistant Professor

Dept. of Chemical Engineering, Aristotle University of Thessaloniki (auth.gr)

2024 – Present

Postdoc

Tampere University (tuni.fi)

2018 – 2019

PhD student

Aristotle University of Thessaloniki (auth.gr)

2015 – 2018

Advisors, Relations & Conflicts

Postdoc Advisor

Anastasios Tefas

2019 – 2023

Postdoc Advisor

Moncef Gabbouj

2018 – 2019

PhD Advisor

Anastasios Tefas

2015 – 2018

Expertise

Deep Learning

Present

Information Retrieval

Present

Representation Learning

Present

Lightweight Deep Learning

Present

Autonomous Perception

Present

Publications

Learning anti-classes with one-cold cross entropy loss
Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas
- Submitted to ICLR 2025
- Readers: Everyone
Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models
Manos Kirtas, Nikolaos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas
- Feb 2023 (modified: 26 Apr 2023)
- IEEE Trans. Emerg. Top. Comput. Intell. 2023
- Readers: Everyone
Variational Voxel Pseudo Image Tracking
Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
- 2023 (modified: 26 Apr 2023)
- CoRR 2023
- Readers: Everyone
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics
Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, N. Nikolaidis, Paraskevi Nousi, R. Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
- 2022 (modified: 16 Sept 2022)
- CoRR 2022
- Readers: Everyone
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics
Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
- 2022 (modified: 14 Apr 2023)
- IROS 2022
- Readers: Everyone
Graph Embedding With Data Uncertainty
Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
- 2022 (modified: 24 Apr 2023)
- IEEE Access 2022
- Readers: Everyone
Non-Linear Spectral Dimensionality Reduction Under Uncertainty
Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
Quantization-aware training for low precision photonic neural networks
Manos Kirtas, A. Oikonomou, Nikolaos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas
- 2022 (modified: 26 Apr 2023)
- Neural Networks 2022
- Readers: Everyone
Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling
Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas
- 2022 (modified: 26 Apr 2023)
- Neurocomputing 2022
- Readers: Everyone
Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning
Nikolaos Passalis, Loukia Avramelou, Solon Seficha, Avraam Tsantekidis, Stavros Doropoulos, Giorgos Makris, Anastasios Tefas
- 2022 (modified: 26 Apr 2023)
- Neural Comput. Appl. 2022
- Readers: Everyone

View all 149 publications

Co-Authors

View all 118 co-authors