Can we learn where people go? - Marion Gödel; Gerta Köster; Daniel Lehmberg; Manfred Gruber; Angelika Kneidl; Florian Sesser (CoRR, 2018)

datafold: data-driven models for point clouds and time series on manifolds. - Daniel Lehmberg; Felix Dietrich; Gerta Köster; Hans-Joachim Bungartz (J. Open Source Softw., 2020)

Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator. - Ioannis K. Gallos; Daniel Lehmberg; Felix Dietrich; Constantinos I. Siettos (CoRR, 2023)

Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. - Nikolaos Evangelou; Felix Dietrich; Eliodoro Chiavazzo; Daniel Lehmberg; Marina Meila; Ioannis G. Kevrekidis (J. Comput. Phys., 2023)

NOMAD: A distributed web-based platform for managing materials science research data. - Markus Scheidgen; Lauri Himanen; Alvin N. Ladines; David Sikter; Mohammad Nakhaee; Ádám Fekete; Theodore Chang; Amir Golparvar; José A. Márquez; Sandor Brockhauser; Sebastian Brückner; Luca M. Ghiringhelli; et al. (J. Open Source Softw., 2023)

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors. - Walter Zimmer; Ross Greer; Xingcheng Zhou; Rui Song 007; Marc Pavel; Daniel Lehmberg; Ahmed Alaaeldin Ghita; Akshay Gopalkrishnan; Mohan M. Trivedi; Alois Knoll (CoRR, 2025)

Towards Vision Zero: The Accid3nD Dataset. - Walter Zimmer; Ross Greer; Daniel Lehmberg; Marc Pavel; Holger Caesar; Xingcheng Zhou; Ahmed Alaaeldin Ghita; Mohan M. Trivedi; Rui Song 007; Hu Cao; Akshay Gopalkrishnan; Alois C. Knoll (CoRR, 2025)