Richard Gaus

According to our database, Richard Gaus authored at least 5 papers between 2022 and 2025.

Collaborative distances:

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

2025

Structured Prompting Enables More Robust Evaluation of Language Models.

Asad Aali, Muhammad Ahmed Mohsin, Vasiliki Bikia, Arnav Singhvi, Richard Gaus, Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Yifan Mai, Jordan Cahoon, Michael A. Pfeffer, Roxana Daneshjou, Sanmi Koyejo, Emily Alsentzer, Christopher Potts, Nigam H. Shah, Akshay S. Chaudhari

CoRR, November, 2025

2023

Can We Diagnose Mental Disorders in Children? A Large-Scale Assessment of Machine Learning on Structural Neuroimaging of 6916 Children in the ABCD Study.

Richard Gaus, Sebastian Pölsterl, Ellen Greimel, Gerd Schulte-Körne, Christian Wachinger

Dataset, May, 2023

Can We Diagnose Mental Disorders in Children? A Large-Scale Assessment of Machine Learning on Structural Neuroimaging of 6916 Children in the ABCD Study.

Richard Gaus, Sebastian Pölsterl, Ellen Greimel, Gerd Schulte-Körne, Christian Wachinger

Dataset, May, 2023

2022

Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data.

Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab

CoRR, 2022

FedAP: Adaptive Personalization in Federated Learning for Non-IID Data.

Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022