Christoforos Nalmpantis

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Top Venues

Publications

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)
Elena Voita, Javier Ferrando, Christoforos Nalmpantis
Neurons in Large Language Models: Dead, N-gram, Positional. ACL (Findings) (2024)
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 (2024)
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 (2024)
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 (2023)
Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas
SAED: self-attentive energy disaggregation. Mach. Learn. 112 (11) (2023)
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)
Elena Voita, Javier Ferrando, Christoforos Nalmpantis
Neurons in Large Language Models: Dead, N-gram, Positional. CoRR (2023)
Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas
Variational Regression for Multi-Target Energy Disaggregation. Sensors 23 (4) (2023)
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 (2023)
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)
Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
PEER: A Collaborative Language Model. CoRR (2022)
Christoforos Nalmpantis, Nikolaos Virtsionis Gkalinikis, Dimitris Vrakas
Neural Fourier Energy Disaggregation. Sensors 22 (2) (2022)
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) (2022)
Christoforos Nalmpantis, Lazaros Vrysis, Danai Vlachava, Lefteris Papageorgiou, Dimitris Vrakas
Entropy Based Feature Pooling in Speech Command Classification. SAI (3) (2021)
Christoforos Nalmpantis, Dimitris Vrakas
On time series representations for multi-label NILM. Neural Comput. Appl. 32 (23) (2020)
Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas
Attention in Recurrent Neural Networks for Energy Disaggregation. DS (2020)
Christoforos Nalmpantis, Athanasios Lentzas, Dimitris Vrakas
A Theoretical Analysis of Pooling Operation Using Information Theory. ICTAI (2019)
Christoforos Nalmpantis, Dimitris Vrakas
Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation. Artif. Intell. Rev. 52 (1) (2019)
Nikolaos Symeonidis, Christoforos Nalmpantis, Dimitris Vrakas
A Benchmark Framework to Evaluate Energy Disaggregation Solutions. EANN (2019)
Christoforos Nalmpantis, Dimitris Vrakas
Signal2Vec: Time Series Embedding Representation. EANN (2019)
Lamprini Kyrkou, Christoforos Nalmpantis, Dimitris Vrakas
Imaging Time-Series for NILM. EANN (2019)
Athanasios Lentzas, Christoforos Nalmpantis, Dimitris Vrakas
Hyperparameter Tuning using Quantum Genetic Algorithms. ICTAI (2019)
Odysseas Krystalakos, Christoforos Nalmpantis, Dimitris Vrakas
Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks. SETN (2018)
Christoforos Nalmpantis, Odysseas Krystalakos, Dimitris Vrakas
Energy profile representation in vector space. SETN (2018)
Ralf Grubenmann, William Fallouh, Christoforos Nalmpantis, Mark Cieliebak
Data Expedition into the Swiss Twitter Corpus. SwissText (2018)