Former Member

Dr. Andreas Hofinger

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Peer Reviewed Journal Publication
  • D. Gerth, A. Hofinger, R. Ramlau (2017) On the lifting of deterministic convergence rates for inverse problems with stochastic noise. Journal of Inverse Problems and Imaging (11), S. 663-687.
  • Hofinger, Andreas; Pikkarainen, Hanna Katriina (2009) Convergence rates for linear inverse problems in the presence of an additive normal noise. Stochastic Analysis and Applications, Bd. 27 (2), S. 240-257 . (link)
  • A. Hofinger, H.K. Pikkarainen (2007) Convergence rates for the Bayesian approach to linear inverse problems. Inverse Problems, Bd. 23 (6), S. 2469-2484. (link)
  • Hofinger, A. (2006) Nonlinear Function Approximation: Computing Smooth Solutions with an Adaptive Greedy Algorithm. Journal of Approximation Theory, Bd. 143(2 ), S. 159-175. (link)
  • Engl, H.; Hofinger, A.; Kindermann, S. (2005) Convergence Rates in the Prokhorov Metric for Assessing Uncertainty in Ill-Posed Problems. Inverse Problems, Bd. 21, S. 399-412. (link)
  • Burger, M.; Hofinger, A. (2005) Regularized Greedy Algorithms for Network Training with Data Noise. Computing, Bd. 74(1), S. 1-22. (link)
  • Daniel Gerth, Andreas Hofinger, Ronny Ramlau (online: 2017) On the lifting of deterministic convergence rates for inverse problems with stochastic noise. Journal on Inverse Problems and Imaging, Bd. 11 (4), S. 663 - 687.

Conference Contribution: Poster (in Proceedings)
  • Hofinger, A. (2006) A new Framework for Assessing Uncertainty in Ill-Posed Problems (Poster). (link)

Dissertation
  • Hofinger, A. (2006) Ill-posed problems: Extending the deterministic theory to a stochastic setup. Doktorarbeit, Universität Linz.

Research Report
  • A. Hofinger, H.K. Pikkarainen (2007) Convergence rates for linear inverse problems in the presence of an additive normal noise. Bericht-Nr. 2007-03; SFB F013:. (link)
  • A. Hofinger, H.K. Pikkarainen (2006) Convergence rates for the Bayesian approach to linear inverse problems. Bericht-Nr. 2006-32; SFB F013:. (link)
  • Hofinger, A. (2006) The Metrics of Prokhorov and Ky Fan for Assessing Uncertainty in Inverse Problems. SFB F013:. (link)
  • A. Hofinger, J. Valdman (2006) Numerical solution of the two-yield elastoplastic minimization problem. SFB F013:. (link)
  • Hofinger, A.; Pillichshammer, F. (2005) Learning a Function from Noisy Samples at a Finite Sparse Set of Points. SFB F013:. (link)
  • Celorrio, R.; Hofinger, A. (2005) A real-time solution for an inverse Cauchy problem in cardiology. SFB F013:. (link)