EM Optimization of Latent-Variables Density Models. - Christopher M. Bishop; Markus Svensén; Christopher K. I. Williams (NIPS, 1995)

GTM: A Principled Alternative to the Self-Organizing Map. - Christopher M. Bishop; Markus Svensén; Christopher K. I. Williams (NIPS, 1996)

Developments of the generative topographic mapping. - Christopher M. Bishop; Markus Svensén; Christopher K. I. Williams (Neurocomputing, 1998)

GTM: The Generative Topographic Mapping. - Christopher M. Bishop; Markus Svensén; Christopher K. I. Williams (Neural Comput., 1998)

Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm. - Markus Svensén; Frithjof Kruggel; D. Yves von Cramon (EMMCVPR, 1999)

Probabilistic Modelling of Single Trial fMRI Data. - Markus Svensén; Frithjof Kruggel; D. Yves von Cramon (IEEE Trans. Medical Imaging, 2000)

ICA of fMRI Group Study Data. - Markus Svensén; Frithjof Kruggel; Habib Benali (NeuroImage, 2002)

Bayesian Hierarchical Mixtures of Experts. - Christopher M. Bishop; Markus Svensén (UAI, 2003)

Distinguishing text from graphics in on-line handwritten ink. - Christopher M. Bishop; Markus Svensén; Geoffrey E. Hinton (IWFHR, 2004)

Robust Bayesian mixture modelling. - Markus Svensén; Christopher M. Bishop (Neurocomputing, 2005)

Potential, challenges and future directions for deep learning in prognostics and health management applications. - Olga Fink; Qin Wang 013; Markus Svensén; Pierre Dersin; Wan-Jui Lee; Melanie Ducoffe (Eng. Appl. Artif. Intell., 2020)