List of works - Manfred Opper

A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks ⬇️

article

A Theory of Solving TAP Equations for Ising Models with General Invariant Random Matrices ⬇️

scientific article published on 28 March 2016

A mathematical model of local and global attention in natural scene viewing

scientific article published on 14 December 2020

Dynamical Functional Theory for Compressed Sensing ⬇️

scientific article published on 11 May 2017

Dynamical functional theory for compressed sensing

Efficient approaches to Gaussian process classification ⬇️

scientific article published on 2000

Efficient statistical inference for stochastic reaction processes

scientific article published on 2 December 2009

Expectation Consistent Free Energies for Approximate Inference ⬇️

Expectation propagation with factorizing distributions: a Gaussian approximation and performance results for simple models

scientific article published on 11 January 2011

Improving on Expectation Propagation ⬇️

Interacting Particle Solutions of Fokker-Planck Equations Through Gradient-Log-Density Estimation

scientific article published on 22 July 2020

Inverse Ising problem in continuous time: A latent variable approach

scientific article published on 4 December 2017

Learning combinatorial transcriptional dynamics from gene expression data

scientific article

Mean Field Methods for Classification with Gaussian Processes ⬇️

Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster

scientific article

Perturbative Black Box Variational Inference ⬇️

scientific article published in January 2017

Publisher's Note: Inverse Ising problem in continuous time: A latent variable approach [Phys. Rev. E 96, 062104 (2017)].

scientific article published in January 2018

Self-Averaging Expectation Propagation ⬇️

scientific article published on 23 August 2016

Sparse On-Line Gaussian Processes

Statistical mechanics of learning: a variational approach for real data

scientific article published on 19 August 2002

TAP Gibbs Free Energy, Belief Propagation and Sparsity ⬇️

The variational gaussian approximation revisited.

scientific article

Tractable Approximations for Probabilistic Models: The Adaptive Thouless-Anderson-Palmer Mean Field Approach

scientific article published in Physical Review Letters

Tractable inference for probabilistic data models

Variational Linear Response ⬇️

Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations

scientific article published on 30 January 2015

List of works by Manfred Opper

A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks ⬇️

A Theory of Solving TAP Equations for Ising Models with General Invariant Random Matrices ⬇️

A mathematical model of local and global attention in natural scene viewing

Dynamical Functional Theory for Compressed Sensing ⬇️

Dynamical functional theory for compressed sensing

Efficient approaches to Gaussian process classification ⬇️

Efficient statistical inference for stochastic reaction processes

Expectation Consistent Free Energies for Approximate Inference ⬇️

Expectation propagation with factorizing distributions: a Gaussian approximation and performance results for simple models

Improving on Expectation Propagation ⬇️

Interacting Particle Solutions of Fokker-Planck Equations Through Gradient-Log-Density Estimation

Inverse Ising problem in continuous time: A latent variable approach

Learning combinatorial transcriptional dynamics from gene expression data

Mean Field Methods for Classification with Gaussian Processes ⬇️

Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster

Perturbative Black Box Variational Inference ⬇️

Publisher's Note: Inverse Ising problem in continuous time: A latent variable approach [Phys. Rev. E 96, 062104 (2017)].

Self-Averaging Expectation Propagation ⬇️

Sparse On-Line Gaussian Processes

Statistical mechanics of learning: a variational approach for real data

TAP Gibbs Free Energy, Belief Propagation and Sparsity ⬇️

The variational gaussian approximation revisited.

Tractable Approximations for Probabilistic Models: The Adaptive Thouless-Anderson-Palmer Mean Field Approach

Tractable inference for probabilistic data models

Variational Linear Response ⬇️

Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations