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Christoforos Nalmpantis
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2020 – today
- 2024
- [c14]Elena Voita, Javier Ferrando, Christoforos Nalmpantis:
Neurons in Large Language Models: Dead, N-gram, Positional. ACL (Findings) 2024: 1288-1301 - [c13]Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu:
Understanding the Effects of RLHF on LLM Generalisation and Diversity. ICLR 2024 - [c12]Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Raileanu:
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. ICML 2024 - [i6]Alex Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Railneau:
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. CoRR abs/2402.10963 (2024) - [i5]Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu:
Teaching Large Language Models to Reason with Reinforcement Learning. CoRR abs/2403.04642 (2024) - 2023
- [j7]Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas:
SAED: self-attentive energy disaggregation. Mach. Learn. 112(11): 4081-4100 (2023) - [j6]Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas:
Variational Regression for Multi-Target Energy Disaggregation. Sensors 23(4): 2051 (2023) - [j5]Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom:
Augmented Language Models: a Survey. Trans. Mach. Learn. Res. 2023 (2023) - [c11]Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. ICLR 2023 - [i4]Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom:
Augmented Language Models: a Survey. CoRR abs/2302.07842 (2023) - [i3]Elena Voita, Javier Ferrando, Christoforos Nalmpantis:
Neurons in Large Language Models: Dead, N-gram, Positional. CoRR abs/2309.04827 (2023) - [i2]Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu:
Understanding the Effects of RLHF on LLM Generalisation and Diversity. CoRR abs/2310.06452 (2023) - 2022
- [b1]Christoforos Nalmpantis:
Machine learning approaches for time series problems. Aristotle Unive rsity Of Thessaloniki, Greece, 2022 - [j4]Christoforos Nalmpantis, Lazaros Vrysis, Danai Vlachava, Lefteris Papageorgiou, Dimitris Vrakas:
Noise invariant feature pooling for the internet of audio things. Multim. Tools Appl. 81(22): 32057-32072 (2022) - [j3]Christoforos Nalmpantis, Nikolaos Virtsionis Gkalinikis, Dimitris Vrakas:
Neural Fourier Energy Disaggregation. Sensors 22(2): 473 (2022) - [i1]Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. CoRR abs/2208.11663 (2022) - 2021
- [c10]Christoforos Nalmpantis, Lazaros Vrysis, Danai Vlachava, Lefteris Papageorgiou, Dimitris Vrakas:
Entropy Based Feature Pooling in Speech Command Classification. SAI (3) 2021: 1083-1091 - 2020
- [j2]Christoforos Nalmpantis, Dimitris Vrakas:
On time series representations for multi-label NILM. Neural Comput. Appl. 32(23): 17275-17290 (2020) - [c9]Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas:
Attention in Recurrent Neural Networks for Energy Disaggregation. DS 2020: 551-565
2010 – 2019
- 2019
- [j1]Christoforos Nalmpantis, Dimitris Vrakas:
Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation. Artif. Intell. Rev. 52(1): 217-243 (2019) - [c8]Nikolaos Symeonidis, Christoforos Nalmpantis, Dimitris Vrakas:
A Benchmark Framework to Evaluate Energy Disaggregation Solutions. EANN 2019: 19-30 - [c7]Christoforos Nalmpantis, Dimitris Vrakas:
Signal2Vec: Time Series Embedding Representation. EANN 2019: 80-90 - [c6]Lamprini Kyrkou, Christoforos Nalmpantis, Dimitris Vrakas:
Imaging Time-Series for NILM. EANN 2019: 188-196 - [c5]Athanasios Lentzas, Christoforos Nalmpantis, Dimitris Vrakas:
Hyperparameter Tuning using Quantum Genetic Algorithms. ICTAI 2019: 1412-1416 - [c4]Christoforos Nalmpantis, Athanasios Lentzas, Dimitris Vrakas:
A Theoretical Analysis of Pooling Operation Using Information Theory. ICTAI 2019: 1729-1733 - 2018
- [c3]Odysseas Krystalakos, Christoforos Nalmpantis, Dimitris Vrakas:
Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks. SETN 2018: 7:1-7:6 - [c2]Christoforos Nalmpantis, Odysseas Krystalakos, Dimitris Vrakas:
Energy profile representation in vector space. SETN 2018: 22:1-22:5 - [c1]Ralf Grubenmann, William Fallouh, Christoforos Nalmpantis, Mark Cieliebak:
Data Expedition into the Swiss Twitter Corpus. SwissText 2018: 92-94
Coauthor Index
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last updated on 2024-09-26 01:55 CEST by the dblp team
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