متابعة
Christoforos Nalmpantis
Christoforos Nalmpantis
Postdoctoral Researcher, Fundamental AI Research at Meta
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Augmented language models: a survey‏
G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...‏
arXiv preprint arXiv:2302.07842, 2023‏
5172023
Sliding window approach for online energy disaggregation using artificial neural networks‏
O Krystalakos, C Nalmpantis, D Vrakas‏
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 1-6, 2018‏
1832018
Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation‏
C Nalmpantis, D Vrakas‏
Artificial Intelligence Review 52, 217-243, 2019‏
1642019
Understanding the effects of rlhf on llm generalisation and diversity‏
R Kirk, I Mediratta, C Nalmpantis, J Luketina, E Hambro, E Grefenstette, ...‏
arXiv preprint arXiv:2310.06452, 2023‏
822023
On time series representations for multi-label NILM‏
C Nalmpantis, D Vrakas‏
Neural Computing and Applications 32, 17275-17290, 2020‏
482020
Signal2vec: Time series embedding representation‏
C Nalmpantis, D Vrakas‏
International conference on engineering applications of neural networks, 80-90, 2019‏
442019
Teaching large language models to reason with reinforcement learning‏
A Havrilla, Y Du, SC Raparthy, C Nalmpantis, J Dwivedi-Yu, ...‏
arXiv preprint arXiv:2403.04642, 2024‏
422024
Peer: A collaborative language model‏
T Schick, J Dwivedi-Yu, Z Jiang, F Petroni, P Lewis, G Izacard, Q You, ...‏
arXiv preprint arXiv:2208.11663, 2022‏
422022
Neurons in large language models: Dead, n-gram, positional‏
E Voita, J Ferrando, C Nalmpantis‏
arXiv preprint arXiv:2309.04827, 2023‏
352023
Imaging time-series for NILM‏
L Kyrkou, C Nalmpantis, D Vrakas‏
International Conference on Engineering Applications of Neural Networks, 188-196, 2019‏
252019
SAED: Self-attentive energy disaggregation‏
N Virtsionis-Gkalinikis, C Nalmpantis, D Vrakas‏
Machine Learning, 1-20, 2021‏
232021
Neural Fourier energy disaggregation‏
C Nalmpantis, N Virtsionis Gkalinikis, D Vrakas‏
Sensors 22 (2), 473, 2022‏
222022
Torch-nilm: An effective deep learning toolkit for non-intrusive load monitoring in pytorch‏
N Virtsionis Gkalinikis, C Nalmpantis, D Vrakas‏
Energies 15 (7), 2647, 2022‏
182022
Attention in recurrent neural networks for energy disaggregation‏
N Virtsionis Gkalinikis, C Nalmpantis, D Vrakas‏
Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020‏
122020
Variational regression for multi-target energy disaggregation‏
N Virtsionis Gkalinikis, C Nalmpantis, D Vrakas‏
Sensors 23 (4), 2051, 2023‏
112023
Hyperparameter tuning using quantum genetic algorithms‏
A Lentzas, C Nalmpantis, D Vrakas‏
2019 IEEE 31st International Conference on Tools with Artificial …, 2019‏
112019
Augmented Language Models: a Survey,(2023)‏
G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...‏
URL: https://arxiv. org/abs/2302.07842. doi 10, 48550, 0‏
11
A benchmark framework to evaluate energy disaggregation solutions‏
N Symeonidis, C Nalmpantis, D Vrakas‏
International Conference on Engineering Applications of Neural Networks, 19-30, 2019‏
102019
Augmented language models: A survey. ArXiv 2023‏
G Mialon, R Dessi, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...‏
arXiv preprint arXiv:2302.07842, 0‏
7
Energy profile representation in vector space‏
C Nalmpantis, O Krystalakos, D Vrakas‏
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 1-5, 2018‏
62018
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مقالات 1–20