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Panos Liatsis

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Physics-Driven ML-Based Modelling for Correcting Inverse Estimation

Sep 25, 2023
Ruiyuan Kang, Tingting Mu, Panos Liatsis, Dimitrios C. Kyritsis

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EEE, Remediating the failure of machine learning models via a network-based optimization patch

Apr 22, 2023
Ruiyuan Kang, Dimitrios Kyritsis, Panos Liatsis

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Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning

Dec 15, 2022
Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis

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Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling

Oct 17, 2022
Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis

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Realizing Flame State Monitoring with Very Few Visual or Infrared Images via Few-Shot Learning

Oct 14, 2022
Ruiyuan Kang, Panos Liatsis, Dimitrios C. Kyritsis

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A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting

Aug 02, 2022
Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis

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Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes

Apr 01, 2022
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David Kreil, Sepp Hochreiter

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SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers

Jan 17, 2022
Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis

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Traffic flow prediction using Deep Sedenion Networks

Dec 11, 2020
Alabi Bojesomo, Panos Liatsis, Hasan Al Marzouqi

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