Lucas Weber

Orcid: 0000-0002-6877-6935

According to our database1, Lucas Weber authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Efficient multi-prompt evaluation of LLMs.
CoRR, 2024

Reinforcement Learning and Regret Bounds for Admission Control.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

tinyBenchmarks: evaluating LLMs with fewer examples.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Interpretability of Language Models via Task Spaces.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Pilgrims' satisfaction with metro operations during Hajj.
Public Transp., October, 2023

Machine learning in sensor identification for industrial systems.
it Inf. Technol., August, 2023

The ICL Consistency Test.
CoRR, 2023

Curriculum Learning with Adam: The Devil Is in the Wrong Details.
CoRR, 2023

Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Reinforcement Learning Based Demand Charge Minimization Using Energy Storage.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2021
Design of a sleep apnoea detection system for a home environment.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Enhancing Current Cardiorespiratory-based Approaches of Sleep Stage Classification by Temporal Feature Stacking.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Language Modelling as a Multi-Task Problem.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Evaluating Body Movement and Breathing Signals for Identification of Sleep/Wake States.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2021

2020
Cardiac Abnormality Detection in 12-lead ECGs With Deep Convolutional Neural Networks Using Data Augmentation.
Proceedings of the Computing in Cardiology, 2020

2019
Individualized Sleep Stage Classification from Cardiorespiratory Features.
Proceedings of the 13th International Symposium on Medical Information and Communication Technology, 2019


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