Lynn H. Kaack

According to our database, Lynn H. Kaack authored at least 7 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Spatio-temporal graph neural network for urban spaces: Interpolating citywide traffic volume.

Silke K. Kaiser, Filipe Rodrigues, Carlos Lima Azevedo, Lynn H. Kaack

Expert Syst. Appl., 2026

2025

Flexibility of German gas-fired generation: evidence from clustering empirical operation.

Chiara Fusar Bassini, Alice Lixuan Xu, Jorge Sánchez Canales, Lion Hirth, Lynn H. Kaack

CoRR, April, 2025

Revealing the Empirical Flexibility of Gas Units Through Deep Clustering.

Chiara Fusar Bassini, Alice Lixuan Xu, Jorge Sánchez Canales, Lion Hirth, Lynn H. Kaack

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

2024

From Counting Stations to City-Wide Estimates: Data-Driven Bicycle Volume Extrapolation.

Silke K. Kaiser, Nadja Klein, Lynn H. Kaack

CoRR, 2024

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, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio

ACM Comput. Surv., 2023

2021

Automated Identification of Climate Risk Disclosures in Annual Corporate Reports.

David Friederich, Lynn H. Kaack, Alexandra Luccioni, Bjarne Steffen

CoRR, 2021

2019

Truck traffic monitoring with satellite images.

Lynn H. Kaack, George H. Chen, M. Granger Morgan

Proceedings of the Conference on Computing & Sustainable Societies, 2019