Tim Korjakow

12 papers A* 1A 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
How simple can you go? An off-the-shelf transformer approach to molecular dynamics.
CoRR
Max Eissler, Tim Korjakow, Stefan Ganscha, Oliver T. Unke, Klaus-Robert Müller, Stefan Gugler
2025 J jnl
New Tools are Needed for Tracking Adherence to AI Model Behavioral Use Clauses.
CoRR
Daniel McDuff, Tim Korjakow, Kevin Klyman, Danish Contractor
2024 J jnl
On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI.
CoRR
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
2024 A* conf
Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI.
ICML
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
2024 A conf
Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study.
Conference on Designing Interactive Systems
Jesse Josua Benjamin, Joseph Lindley, Elizabeth Edwards, Elisa Rubegni, Tim Korjakow, David Grist, Rhiannon Sharkey
2024 J jnl
Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study.
CoRR
Jesse Josua Benjamin, Joseph Lindley, Elizabeth Edwards, Elisa Rubegni, Tim Korjakow, David Grist, Rhiannon Sharkey
2024 — conf
Text-Mining of E-Participation Platforms: Applying Topic Modeling on Join and iVoting in Taiwan.
TE
Moritz Sontheimer, Jonas Fahlbusch, Tim Korjakow, Shuo-Yan Chou
2023 J jnl
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning.
IEEE Trans. Neural Networks Learn. Syst.
Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek
2022 J jnl
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability.
Proc. ACM Hum. Comput. Interact.
Jesse Josua Benjamin, Christoph Kinkeldey, Claudia Müller-Birn, Tim Korjakow, Eva-Maria Herbst
2021 J jnl
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability.
CoRR
Jesse Josua Benjamin, Christoph Kinkeldey, Claudia Müller-Birn, Tim Korjakow, Eva-Maria Herbst
2021 J jnl
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning.
CoRR
Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek
2019 — conf
Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization.
TrustVis@EuroVis
Christoph Kinkeldey, Tim Korjakow, Jesse Josua Benjamin