Predictive Coding and the Slowness Principle: An Information-Theoretic Approach. - Felix Creutzig; Henning Sprekeler (Neural Comput., 2008)

Timescale-Invariant Pattern Recognition by Feedforward Inhibition and Parallel Signal Processing. - Felix Creutzig; Jan Benda; Sandra Wohlgemuth; Andreas Stumpner; Bernhard Ronacher; Andreas V. M. Herz (Neural Comput., 2010)

Open government geospatial data on buildings for planning sustainable and resilient cities. - Filip Biljecki; Lawrence Zheng Xiong Chew; Nikola Milojevic-Dupont; Felix Creutzig (CoRR, 2021)

A Causal Discovery Approach To Learn How Urban Form Shapes Sustainable Mobility Across Continents. - Felix Wagner 002; Florian Nachtigall; Lukas Franken; Nikola Milojevic-Dupont; Rafael H. M. Pereira; Nicolas Koch; Jakob Runge; Marta Gonzalez; Felix Creutzig (CoRR, 2023)

The built environment and induced transport CO2 emissions: A double machine learning approach to account for residential self-selection. - Florian Nachtigall; Felix Wagner 002; Peter Berrill; Felix Creutzig (CoRR, 2023)

Tackling Climate Change with Machine Learning. - David Rolnick; Priya L. Donti; Lynn H. Kaack; Kelly Kochanski; Alexandre Lacoste; Kris Sankaran; Andrew Slavin Ross; Nikola Milojevic-Dupont; Natasha Jaques; Anna Waldman-Brown; Alexandra Sasha Luccioni; Tegan Maharaj; et al. (ACM Comput. Surv., 2023)

Predicting building age from urban form at large scale. - Florian Nachtigall; Nikola Milojevic-Dupont; Felix Wagner 002; Felix Creutzig (Comput. Environ. Urban Syst., 2023)

Algorithmic Control Improves Residential Building Energy and EV Management when PV Capacity is High but Battery Capacity is Low. - Lennart Ullner; Alona Zharova; Felix Creutzig (CoRR, 2025)