Christoforos Nalmpantis

According to our database, Christoforos Nalmpantis authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Teaching Large Language Models to Reason with Reinforcement Learning.

Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu

CoRR, 2024

GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.

Alex Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Railneau

CoRR, 2024

GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.

Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Raileanu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Understanding the Effects of RLHF on LLM Generalisation and Diversity.

Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neurons in Large Language Models: Dead, N-gram, Positional.

Elena Voita, Javier Ferrando, Christoforos Nalmpantis

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

SAED: self-attentive energy disaggregation.

Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas

Mach. Learn., November, 2023

Variational Regression for Multi-Target Energy Disaggregation.

Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas

Sensors, February, 2023

Augmented Language Models: a Survey.

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

Trans. Mach. Learn. Res., 2023

PEER: A Collaborative Language Model.

Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Machine learning approaches for time series problems

Christoforos Nalmpantis

PhD thesis, 2022

Neural Fourier Energy Disaggregation.

Christoforos Nalmpantis, Nikolaos Virtsionis Gkalinikis, Dimitris Vrakas

Sensors, 2022

Noise invariant feature pooling for the internet of audio things.

Christoforos Nalmpantis, Lazaros Vrysis, Danai Vlachava, Lefteris Papageorgiou, Dimitris Vrakas

Multim. Tools Appl., 2022

2021

Entropy Based Feature Pooling in Speech Command Classification.

Christoforos Nalmpantis, Lazaros Vrysis, Danai Vlachava, Lefteris Papageorgiou, Dimitris Vrakas

Proceedings of the Intelligent Computing, 2021

2020

On time series representations for multi-label NILM.

Christoforos Nalmpantis, Dimitris Vrakas

Neural Comput. Appl., 2020

Attention in Recurrent Neural Networks for Energy Disaggregation.

Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation.

Christoforos Nalmpantis, Dimitris Vrakas

Artif. Intell. Rev., 2019

A Theoretical Analysis of Pooling Operation Using Information Theory.

Christoforos Nalmpantis, Athanasios Lentzas, Dimitris Vrakas

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Hyperparameter Tuning using Quantum Genetic Algorithms.

Athanasios Lentzas, Christoforos Nalmpantis, Dimitris Vrakas

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A Benchmark Framework to Evaluate Energy Disaggregation Solutions.

Nikolaos Symeonidis, Christoforos Nalmpantis, Dimitris Vrakas

Proceedings of the Engineering Applications of Neural Networks, 2019

Signal2Vec: Time Series Embedding Representation.

Christoforos Nalmpantis, Dimitris Vrakas

Proceedings of the Engineering Applications of Neural Networks, 2019

Imaging Time-Series for NILM.

Lamprini Kyrkou, Christoforos Nalmpantis, Dimitris Vrakas

Proceedings of the Engineering Applications of Neural Networks, 2019

2018

Data Expedition into the Swiss Twitter Corpus.

Ralf Grubenmann, William Fallouh, Christoforos Nalmpantis, Mark Cieliebak

Proceedings of the 3rd Swiss Text Analytics Conference, SwissText 2018, Winterthur, 2018

Energy profile representation in vector space.

Christoforos Nalmpantis, Odysseas Krystalakos, Dimitris Vrakas

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks.

Odysseas Krystalakos, Christoforos Nalmpantis, Dimitris Vrakas

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018