Sudhir Raman

According to our database, Sudhir Raman authored at least 9 papers between 2009 and 2018.

Collaborative distances:

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

2018

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

2017

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

2016

A hemodynamic model for layered BOLD signals.

Jakob Heinzle, Peter J. Koopmans, Hanneke E. M. den Ouden, Sudhir Raman, Klaas Enno Stephan

NeuroImage, 2016

2015

Probabilistic clustering of time-evolving distance data.

Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir Raman, Sandhya Prabhakaran, Volker Roth, Gunnar Rätsch

Mach. Learn., 2015

2012

Sparse Point Estimation for Bayesian Regression via Simulated Annealing.

Sudhir Raman, Volker Roth

Proceedings of the Pattern Recognition, 2012

Automatic Model Selection in Archetype Analysis.

Sandhya Prabhakaran, Sudhir Raman, Julia E. Vogt, Volker Roth

Proceedings of the Pattern Recognition, 2012

2010

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

BMC Bioinform., 2010

2009

The Bayesian group-Lasso for analyzing contingency tables.

Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Volker Roth

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Sparse Bayesian Regression for Grouped Variables in Generalized Linear Models.

Sudhir Raman, Volker Roth

Proceedings of the Pattern Recognition, 2009