Lynn H. Kaack

According to our database, Lynn H. Kaack authored at least 6 papers between 2019 and 2025.

Collaborative distances:

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

2025

Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume.

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

CoRR, May, 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

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