Christoforos Nalmpantis

28 papers A* 3B 3C 3Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2024 A* conf
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.
ICML
Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Raileanu
2024 J jnl
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.
CoRR
Alex Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Railneau
2024 — conf
Neurons in Large Language Models: Dead, N-gram, Positional.
ACL (Findings)
Elena Voita, Javier Ferrando, Christoforos Nalmpantis
2024 J jnl
Teaching Large Language Models to Reason with Reinforcement Learning.
CoRR
Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu
2024 A* conf
Understanding the Effects of RLHF on LLM Generalisation and Diversity.
ICLR
Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu
2023 J jnl
Augmented Language Models: a Survey.
CoRR
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
2023 J jnl
Augmented Language Models: a Survey.
Trans. Mach. Learn. Res.
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
2023 J jnl
Neurons in Large Language Models: Dead, N-gram, Positional.
CoRR
Elena Voita, Javier Ferrando, Christoforos Nalmpantis
2023 A* conf
PEER: A Collaborative Language Model.
ICLR
Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
2023 J jnl
SAED: self-attentive energy disaggregation.
Mach. Learn.
Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas
2023 J jnl
Understanding the Effects of RLHF on LLM Generalisation and Diversity.
CoRR
Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu
2023 J jnl
Variational Regression for Multi-Target Energy Disaggregation.
Sensors
Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas
2022 — —
Machine learning approaches for time series problems
Christoforos Nalmpantis
2022 J jnl
Neural Fourier Energy Disaggregation.
Sensors
Christoforos Nalmpantis, Nikolaos Virtsionis Gkalinikis, Dimitris Vrakas
2022 J jnl
Noise invariant feature pooling for the internet of audio things.
Multim. Tools Appl.
Christoforos Nalmpantis, Lazaros Vrysis, Danai Vlachava, Lefteris Papageorgiou, Dimitris Vrakas
2022 J jnl
PEER: A Collaborative Language Model.
CoRR
Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
2021 — conf
Entropy Based Feature Pooling in Speech Command Classification.
SAI (3)
Christoforos Nalmpantis, Lazaros Vrysis, Danai Vlachava, Lefteris Papageorgiou, Dimitris Vrakas
2020 B conf
Attention in Recurrent Neural Networks for Energy Disaggregation.
DS
Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas
2020 J jnl
On time series representations for multi-label NILM.
Neural Comput. Appl.
Christoforos Nalmpantis, Dimitris Vrakas
2019 C conf
A Benchmark Framework to Evaluate Energy Disaggregation Solutions.
EANN
Nikolaos Symeonidis, Christoforos Nalmpantis, Dimitris Vrakas
2019 B conf
A Theoretical Analysis of Pooling Operation Using Information Theory.
ICTAI
Christoforos Nalmpantis, Athanasios Lentzas, Dimitris Vrakas
2019 B conf
Hyperparameter Tuning using Quantum Genetic Algorithms.
ICTAI
Athanasios Lentzas, Christoforos Nalmpantis, Dimitris Vrakas
2019 C conf
Imaging Time-Series for NILM.
EANN
Lamprini Kyrkou, Christoforos Nalmpantis, Dimitris Vrakas
2019 J jnl
Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation.
Artif. Intell. Rev.
Christoforos Nalmpantis, Dimitris Vrakas
2019 C conf
Signal2Vec: Time Series Embedding Representation.
EANN
Christoforos Nalmpantis, Dimitris Vrakas
2018 — conf
Data Expedition into the Swiss Twitter Corpus.
SwissText
Ralf Grubenmann, William Fallouh, Christoforos Nalmpantis, Mark Cieliebak
2018 — conf
Energy profile representation in vector space.
SETN
Christoforos Nalmpantis, Odysseas Krystalakos, Dimitris Vrakas
2018 — conf
Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks.
SETN
Odysseas Krystalakos, Christoforos Nalmpantis, Dimitris Vrakas