| Connections between deep equilibrium and sparse representation models with application to hyperspectral image denoising A Gkillas, D Ampeliotis, K Berberidis IEEE Transactions on Image Processing 32, 1513-1528, 2023 | 13 | 2023 |
| Missing data imputation for multivariate time series in industrial iot: A federated learning approach A Gkillas, AS Lalos 2022 IEEE 20th International Conference on Industrial Informatics (INDIN), 87-94, 2022 | 6 | 2022 |
| Efficient coupled dictionary learning and sparse coding for noisy piecewise-smooth signals: Application to hyperspectral imaging A Gkillas, D Ampeliotis, K Berberidis 2020 IEEE International Conference on Image Processing (ICIP), 231-235, 2020 | 5 | 2020 |
| A highly interpretable deep equilibrium network for hyperspectral image deconvolution A Gkillas, D Ampeliotis, K Berberidis ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Cost-efficient coupled learning methods for recovering near-infrared information from RGB signals: Application in precision agriculture A Gkillas, D Kosmopoulos, K Berberidis Computers and Electronics in Agriculture 209, 107833, 2023 | 4 | 2023 |
| Fast sparse coding algorithms for piece-wise smooth signals A Gkillas, D Ampeliotis, K Berberidis 2020 28th European Signal Processing Conference (EUSIPCO), 2040-2044, 2021 | 4 | 2021 |
| Federated Learning for Lidar Super Resolution on Automotive Scenes A Gkillas, G Arvanitis, AS Lalos, K Moustakas International Conference on Digital Signal Processing (DSP), 2023 | 3 | 2023 |
| An efficient deep unrolling super-resolution network for Lidar automotive scenes A Gkillas, AS Lalos, D Ampeliotis 2023 IEEE International Conference on Image Processing (ICIP), 1840-1844, 2023 | 2 | 2023 |
| Resource Efficient Federated Learning for Deep Anomaly Detection in Industrial IoT applications A Gkillas, A Lalos International Conference on Digital Signal Processing (DSP), 2023 | 2 | 2023 |
| Federated dictionary learning from non-iid data A Gkillas, D Ampeliotis, K Berberidis 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022 | 2 | 2022 |
| A method for recovering near infrared information from RGB measurements with application in precision agriculture A Gkillas, D Kosmopoulos, C Constantinopoulos, D Ampeliotis, ... 2021 29th European Signal Processing Conference (EUSIPCO), 616-620, 2021 | 2 | 2021 |
| A cross-domain recommender system using deep coupled autoencoders A Gkillas, D Kosmopoulos arXiv preprint arXiv:2112.07617, 2021 | 1 | 2021 |
| Deep Federated Unrolling for Boosting Low-Resolution Lidar-Based SLAM Solutions A Gkillas, C Anagnostopoulos, AS Lalos IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023 | | 2023 |
| A Federated Deep Unrolling Method for Lidar Super-resolution: Benefits in SLAM A Gkillas, AS Lalos, EK Markakis, I Politis IEEE Transactions on Intelligent Vehicles, 2023 | | 2023 |
| Subspace Parsimonious Dictionary Learning and its use in Federated Learning D Ampeliotis, A Gkillas International Conference on Digital Signal Processing (DSP), 2023 | | 2023 |
| Federated Deep Feature Extraction-based SLAM for Autonomous Vehicles C Anagnostopoulos, A Gkillas, N Piperigkos, AS Lalos International Conference on Digital Signal Processing (DSP), 2023 | | 2023 |
| An Optimization-based Deep Equilibrium Model for Hyperspectral Image Deconvolution with Convergence Guarantees A Gkillas, D Ampeliotis, K Berberidis arXiv preprint arXiv:2306.06378, 2023 | | 2023 |
| Deep Equilibrium Models Meet Federated Learning A Gkillas, D Ampeliotis, K Berberidis 2023 31th European Signal Processing Conference (EUSIPCO), 2023 | | 2023 |
| Federated dictionary learning from Non-IID Data A Gkillas, D Ampeliotis, K Berberidis 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022 | | 2022 |
| Frederic Dufaux, CNRS, Université Paris-Saclay Pierre Duhamel, Cnrs Jindrich Dunik, University of West Bohemia Sayantan Dutta, University of Toulouse, IRIT F Elvander, V Elvira, A Erdogan, M Ertas, CA Erturk, J Escudero, ... | | |
Dimitris AmpeliotisAssistant Professor, Ionian University, GreeceVerified email at ionio.gr
