Individualized Sleep Stage Classification from Cardiorespiratory Features. - Miriam Goldammer; Lucas Weber; Hagen Malberg; Sebastian Zaunseder (ISMICT, 2019)

Cardiac Abnormality Detection in 12-lead ECGs With Deep Convolutional Neural Networks Using Data Augmentation. - Lucas Weber; Maksym Gaiduk; Wilhelm Daniel Scherz; Ralf Seepold (CinC, 2020)

Evaluating Body Movement and Breathing Signals for Identification of Sleep/Wake States. - Maksym Gaiduk; Ralf Seepold; Natividad Martínez Madrid; Thomas Penzel; Lucas Weber; Massimo Conti; Simone Orcioni; Juan Antonio Ortega 001 (ApplePies, 2021)

Language Modelling as a Multi-Task Problem. - Lucas Weber; Jaap Jumelet; Elia Bruni; Dieuwke Hupkes (EACL, 2021)

Enhancing Current Cardiorespiratory-based Approaches of Sleep Stage Classification by Temporal Feature Stacking. - Lucas Weber; Maksym Gaiduk; Ralf Seepold; Natividad Martínez Madrid; Martin Glos; Thomas Penzel (EMBC, 2021)

Design of a sleep apnoea detection system for a home environment. - Maksym Gaiduk; Lucas Weber; Ángel Serrano Alarcón; Ralf Seepold; Natividad Martínez Madrid; Simone Orcioni; Massimo Conti (KES, 2021)

Reinforcement Learning Based Demand Charge Minimization Using Energy Storage. - Lucas Weber; Ana Busic; Jiamin Zhu (CDC, 2023)

Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning. - Lucas Weber; Elia Bruni; Dieuwke Hupkes (CoNLL, 2023)

Curriculum Learning with Adam: The Devil Is in the Wrong Details. - Lucas Weber; Jaap Jumelet; Paul Michel; Elia Bruni; Dieuwke Hupkes (CoRR, 2023)

The ICL Consistency Test. - Lucas Weber; Elia Bruni; Dieuwke Hupkes (CoRR, 2023)

Machine learning in sensor identification for industrial systems. - Lucas Weber; Richard Lenz (it Inf. Technol., 2023)

Pilgrims' satisfaction with metro operations during Hajj. - Lucas Weber; Sven Müller 001; Knut Haase (Public Transp., 2023)

Interpretability of Language Models via Task Spaces. - Lucas Weber; Jaap Jumelet; Elia Bruni; Dieuwke Hupkes (ACL (1), 2024)

tinyBenchmarks: evaluating LLMs with fewer examples. - Felipe Maia Polo; Lucas Weber; Leshem Choshen; Yuekai Sun; Gongjun Xu; Mikhail Yurochkin (ICML, 2024)

Reinforcement Learning and Regret Bounds for Admission Control. - Lucas Weber; Ana Busic; Jiamin Zhu (ICML, 2024)

Efficient multi-prompt evaluation of LLMs. - Felipe Maia Polo; Ronald Xu; Lucas Weber; Mírian Silva; Onkar Bhardwaj; Leshem Choshen; Allysson Flavio Melo de Oliveira; Yuekai Sun; Mikhail Yurochkin (NeurIPS, 2024)

From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions. - Nathanaël Carraz Rakotonirina; Mohammed Hamdy; Jon Ander Campos; Lucas Weber; Alberto Testoni; Marzieh Fadaee; Sandro Pezzelle; Marco Del Tredici (ACL (1), 2025)

Relationship Discovery for Heterogeneous Time Series Integration: A Comparative Analysis for Industrial and Building Data. - Lucas Weber; Richard Lenz (BTW, 2025)

From Similarities to Insights: Approaching Time Series Integration from a User Perspective. - Lucas Weber; Richard Lenz (HILDA@SIGMOD, 2025)

Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy. - Paramita Mirza; Lucas Weber; Fabian Küch (CoRR, 2025)