Παρακολούθηση
Christoforos Nalmpantis
Christoforos Nalmpantis
Postdoctoral Researcher, Fundamental AI Research at Meta
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα fb.com
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Augmented language models: a survey
G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...
arXiv preprint arXiv:2302.07842, 2023
2992023
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
1532018
Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation
C Nalmpantis, D Vrakas
Artificial Intelligence Review 52, 217-243, 2019
1462019
On time series representations for multi-label NILM
C Nalmpantis, D Vrakas
Neural Computing and Applications 32, 17275-17290, 2020
432020
Signal2vec: Time series embedding representation
C Nalmpantis, D Vrakas
International conference on engineering applications of neural networks, 80-90, 2019
412019
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
402022
Imaging time-series for NILM
L Kyrkou, C Nalmpantis, D Vrakas
International Conference on Engineering Applications of Neural Networks, 188-196, 2019
212019
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
182023
Neural Fourier energy disaggregation
C Nalmpantis, N Virtsionis Gkalinikis, D Vrakas
Sensors 22 (2), 473, 2022
172022
SAED: Self-attentive energy disaggregation
N Virtsionis-Gkalinikis, C Nalmpantis, D Vrakas
Machine Learning, 1-20, 2021
172021
Neurons in large language models: Dead, n-gram, positional
E Voita, J Ferrando, C Nalmpantis
arXiv preprint arXiv:2309.04827, 2023
132023
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
122022
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
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
Hyperparameter tuning using quantum genetic algorithms
A Lentzas, C Nalmpantis, D Vrakas
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
82019
Augmented language models: a survey, 2023
G Mialon, R Dessi, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...
URL: https://arxiv. org/abs/2302.07842. doi 10, 48550, 0
7
Augmented language models: A survey. arXiv
G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...
arXiv preprint arXiv:2302.07842, 2023
52023
Energy profile representation in vector space
C Nalmpantis, O Krystalakos, D Vrakas
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 1-5, 2018
42018
Variational Regression for Multi-Target Energy Disaggregation
N Virtsionis Gkalinikis, C Nalmpantis, D Vrakas
Sensors 23 (4), 2051, 2023
22023
A theoretical analysis of pooling operation using information theory
C Nalmpantis, A Lentzas, D Vrakas
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
22019
Δεν είναι δυνατή η εκτέλεση της ενέργειας από το σύστημα αυτή τη στιγμή. Προσπαθήστε ξανά αργότερα.
Άρθρα 1–20