Schwaighofer, Anton

9 publications

CVPR 2023 Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay

ECCV 2022 Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay

UAI 2012 Budget Optimization for Sponsored Search: Censored Learning in MDPs Kareem Amin, Michael J. Kearns, Peter B. Key, Anton Schwaighofer

ICML 2005 Learning Gaussian Processes from Multiple Tasks Kai Yu, Volker Tresp, Anton Schwaighofer

NeurIPS 2004 Learning Gaussian Process Kernels via Hierarchical Bayes Anton Schwaighofer, Volker Tresp, Kai Yu

UAI 2003 Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang

NeurIPS 2003 GPPS: A Gaussian Process Positioning System for Cellular Networks Anton Schwaighofer, Marian Grigoras, Volker Tresp, Clemens Hoffmann

NeurIPS 2002 The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel, Gerhard A. Müller

NeurIPS 2002 Transductive and Inductive Methods for Approximate Gaussian Process Regression Anton Schwaighofer, Volker Tresp