P. Roux

Molecules and Cells · 2000–2006

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom P. Roux trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter J. Green (in Probabilistic & Bayesian Methods)

Papers from P. Roux's perspective

Ordered by how strongly the researchers P. Roux trusts endorse each paper. Same corpus, a different order for every researcher.

1. Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems
2. Functions of Bounded Variation and Free Discontinuity Problems
3. Nonlinear total variation based noise removal algorithms
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. On Use of the EM Algorithm for Penalized Likelihood Estimation
6. Bayesian-Based Iterative Method of Image Restoration
7. Metropolis Methods, Gaussian Proposals and Antithetic Variables
8. Data Analysis Using Stein's Estimator and its Generalizations
9. Convex Analysis and Monotone Operator Theory in Hilbert Spaces
10. Bayesian Learning via Stochastic Gradient Langevin Dynamics

Their papers

• A novel proteolytic cleavage involved in Notch signaling: the role of the disintegrin-metalloprotease TACE. (2000) — 1,203 citations
• Richardson–Lucy algorithm with total variation regularization for 3D confocal microscope deconvolution (2006) — 498 citations