Sparse Bayesian Regression for Grouped Variables in Generalized Linear Models. - Sudhir Raman; Volker Roth 001 (DAGM-Symposium, 2009)

The Bayesian group-Lasso for analyzing contingency tables. - Sudhir Raman; Thomas J. Fuchs; Peter J. Wild; Edgar Dahl; Volker Roth 001 (ICML, 2009)

Infinite mixture-of-experts model for sparse survival regression with application to breast cancer. - Sudhir Raman; Thomas J. Fuchs; Peter J. Wild; Edgar Dahl; Joachim M. Buhmann; Volker Roth 001 (BMC Bioinform., 2010)

Automatic Model Selection in Archetype Analysis. - Sandhya Prabhakaran; Sudhir Raman; Julia E. Vogt; Volker Roth 001 (DAGM/OAGM Symposium, 2012)

Sparse Point Estimation for Bayesian Regression via Simulated Annealing. - Sudhir Raman; Volker Roth 001 (DAGM/OAGM Symposium, 2012)

Probabilistic clustering of time-evolving distance data. - Julia E. Vogt; Marius Kloft; Stefan Stark; Sudhir Raman; Sandhya Prabhakaran; Volker Roth 001; Gunnar Rätsch (Mach. Learn., 2015)

A hemodynamic model for layered BOLD signals. - Jakob Heinzle; Peter J. Koopmans; Hanneke E. M. den Ouden; Sudhir Raman; Klaas Enno Stephan (NeuroImage, 2016)

Computational neuroimaging strategies for single patient predictions. - Klaas E. Stephan; Florian Schlagenhauf; Quentin J. M. Huys; Sudhir Raman; Eduardo A. Aponte; Kay Henning Brodersen; Lionel Rigoux; Rosalyn J. Moran; Jean Daunizeau; Ray Dolan; Karl J. Friston; Andreas Heinz (NeuroImage, 2017)

Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE). - Yu Yao; Sudhir Raman; Michael Schiek; Alexander P. Leff; Stefan Frässle; Klaas E. Stephan (NeuroImage, 2018)