Tim Korjakow

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Ai Technologies

Bayesian Methods

Intra Organizational

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

TrustVis@EuroVis

Proc. ACM Hum. Comput. Interact.

Publications

Daniel McDuff, Tim Korjakow, Scott Cambo, Jesse Josua Benjamin, Jenny Lee, Yacine Jernite, Carlos Muñoz Ferrandis, Aaron Gokaslan, Alek Tarkowski, Joseph Lindley, A. Feder Cooper, Danish Contractor
On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI. CoRR (2024)
Jesse Josua Benjamin, Joseph Lindley, Elizabeth Edwards, Elisa Rubegni, Tim Korjakow, David Grist, Rhiannon Sharkey
Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study. Conference on Designing Interactive Systems (2024)
Jesse Josua Benjamin, Joseph Lindley, Elizabeth Edwards, Elisa Rubegni, Tim Korjakow, David Grist, Rhiannon Sharkey
Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study. CoRR (2024)
Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Jesse Josua Benjamin, Christoph Kinkeldey, Claudia Müller-Birn, Tim Korjakow, Eva-Maria Herbst
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability. Proc. ACM Hum. Comput. Interact. 6 (GROUP) (2022)
Jesse Josua Benjamin, Christoph Kinkeldey, Claudia Müller-Birn, Tim Korjakow, Eva-Maria Herbst
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability. CoRR (2021)
Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. CoRR (2021)
Christoph Kinkeldey, Tim Korjakow, Jesse Josua Benjamin
Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization. TrustVis@EuroVis (2019)