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Manfred Opper

Showing results (1-10 of 22) with videos related to

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Neural Computation|January 13, 2011
Expectation propagation with factorizing distributions: a Gaussian approximation and performance results for simple modelsFabiano Ribeiro, Manfred Opper
Neural Computation|February 28, 2002
Sparse on-line gaussian processesLehel Csató, Manfred Opper
Physical Review. E|July 24, 2019
Memory-free dynamics for the Thouless-Anderson-Palmer equations of Ising models with arbitrary rotation-invariant ensembles of random coupling matricesBurak Çakmak, Manfred Opper
Physical Review. E|February 17, 2018
Publisher's Note: Inverse Ising problem in continuous time: A latent variable approach [Phys. Rev. E 96, 062104 (2017)]Christian Donner, Manfred Opper
Physical Review Letters|September 13, 2002
Statistical mechanics of learning: a variational approach for real dataDörthe Malzahn, Manfred Opper
Physical Review Letters|April 7, 2010
Efficient statistical inference for stochastic reaction processesAndreas Ruttor, Manfred Opper
Physical Review. E|January 20, 2018
Inverse Ising problem in continuous time: A latent variable approachChristian Donner, Manfred Opper
Physical Review. E|April 17, 2021
Exact solution to the random sequential dynamics of a message passing algorithmBurak Çakmak, Manfred Opper
Bioinformatics (Oxford, England)|May 7, 2010
Learning combinatorial transcriptional dynamics from gene expression dataManfred Opper, Guido Sanguinetti
Neural Computation|September 13, 2008
The variational gaussian approximation revisitedManfred Opper, Cédric Archambeau
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Neural Computation|January 13, 2011
Expectation propagation with factorizing distributions: a Gaussian approximation and performance results for simple modelsFabiano Ribeiro, Manfred Opper
Neural Computation|February 28, 2002
Sparse on-line gaussian processesLehel Csató, Manfred Opper
Physical Review. E|July 24, 2019
Memory-free dynamics for the Thouless-Anderson-Palmer equations of Ising models with arbitrary rotation-invariant ensembles of random coupling matricesBurak Çakmak, Manfred Opper
Physical Review. E|February 17, 2018
Publisher's Note: Inverse Ising problem in continuous time: A latent variable approach [Phys. Rev. E 96, 062104 (2017)]Christian Donner, Manfred Opper
Physical Review Letters|September 13, 2002
Statistical mechanics of learning: a variational approach for real dataDörthe Malzahn, Manfred Opper
Physical Review Letters|April 7, 2010
Efficient statistical inference for stochastic reaction processesAndreas Ruttor, Manfred Opper
Physical Review. E|January 20, 2018
Inverse Ising problem in continuous time: A latent variable approachChristian Donner, Manfred Opper
Physical Review. E|April 17, 2021
Exact solution to the random sequential dynamics of a message passing algorithmBurak Çakmak, Manfred Opper
Bioinformatics (Oxford, England)|May 7, 2010
Learning combinatorial transcriptional dynamics from gene expression dataManfred Opper, Guido Sanguinetti
Neural Computation|September 13, 2008
The variational gaussian approximation revisitedManfred Opper, Cédric Archambeau
Pageof 3