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An atomic Boltzmann machine capable of self-adaption

Nature nanotechnology, 2021-04, Vol.16 (4), p.414-420

2021

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Learning Universal Computations with Spikes

PLoS computational biology, 2016-06, Vol.12 (6), p.e1004895-e1004895

2016

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Role of Synaptic Stochasticity in Training Low-Precision Neural Networks

Physical review letters, 2018-06, Vol.120 (26), p.268103-268103, Article 268103

2018

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Sufficient Conditions for Convergence of the Sum-Product Algorithm

IEEE transactions on information theory, 2007-12, Vol.53 (12), p.4422-4437

2007

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An Iterative Method for Nonlinear Stochastic Optimal Control Based on Path Integrals

IEEE transactions on automatic control, 2017-01, Vol.62 (1), p.262-276

2017

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An introduction to stochastic control theory, path integrals and reinforcement learning

Cooperative Behavior in Neural Systems, 2007, Vol.887, p.149-181

Kappen, Hilbert J

2007

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Training quantum Boltzmann machines with the β-variational quantum eigensolver

Machine learning: science and technology, 2024-06, Vol.5 (2), p.25017

2024

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Optimal control as a graphical model inference problem

Machine learning, 2012-05, Vol.87 (2), p.159-182

2012

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Irregular dynamics in up and down cortical states

PloS one, 2010-11, Vol.5 (11), p.e13651-e13651

2010

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Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model

Machine learning, 2013-06, Vol.91 (3), p.325-349

2013

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Linear theory for control of nonlinear stochastic systems

Physical review letters, 2005-11, Vol.95 (20), p.200201.1-200201.4, Article 200201

KAPPEN, Hilbert J

2005

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Bayesian neural networks with variable selection for prediction of genotypic values

Genetics selection evolution (Paris), 2020-05, Vol.52 (1), p.26-26, Article 26

2020

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Why adiabatic quantum annealing is unlikely to yield speed-up

Journal of physics. A, Mathematical and theoretical, 2023-11, Vol.56 (46), p.465304

2023

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Stochastic Syncing in Sinusoidally Driven Atomic Orbital Memory

ACS nano, 2024-02, Vol.18 (6), p.4840-4846

2024

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Time-integrated position error accounts for sensorimotor behavior in time-constrained tasks

PloS one, 2012-03, Vol.7 (3), p.e33724-e33724

2012

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Nonlinear Stochastic Optimal Control with Input Saturation Constraints Based on Path Integrals

IEEJ transactions on electrical and electronic engineering, 2020-08, Vol.15 (8), p.1169-1175

2020

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Postoperative Delirium After Intracranial Surgery: A Retrospective Cohort Study

World neurosurgery, 2023-04, Vol.172, p.e212-e219

2023

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Action selection in growing state spaces: control of network structure growth

Journal of physics. A, Mathematical and theoretical, 2017-01, Vol.50 (3), p.34006

2017

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Stochastic optimal control as non-equilibrium statistical mechanics: calculus of variations over density and current

Journal of physics. A, Mathematical and theoretical, 2014-01, Vol.47 (2), p.22001-8

2014

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The Variational Garrote

Machine learning, 2014-09, Vol.96 (3), p.269-294

2014

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A likelihood-based framework for the analysis of discussion threads

World wide web (Bussum), 2013-11, Vol.16 (5-6), p.645-675

2013

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Linear PDEs and eigenvalue problems corresponding to ergodic stochastic optimization problems on compact manifolds

Journal of statistical mechanics, 2016-01, Vol.2016 (1), p.13206

2016

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A generative model for music transcription

IEEE transactions on audio, speech, and language processing, 2006-03, Vol.14 (2), p.679-694

2006

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Quantitative analysis of task selection for brain-computer interfaces

Journal of neural engineering, 2014-10, Vol.11 (5), p.056002-8

2014

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Emerging phenomena in neural networks with dynamic synapses and their computational implications

Frontiers in computational neuroscience, 2013-04, Vol.7, p.30-30

2013

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An atomic Boltzmann machine capable of self-adaption

Learning Universal Computations with Spikes

Role of Synaptic Stochasticity in Training Low-Precision Neural Networks

Sufficient Conditions for Convergence of the Sum-Product Algorithm

An Iterative Method for Nonlinear Stochastic Optimal Control Based on Path Integrals

An introduction to stochastic control theory, path integrals and reinforcement learning

Training quantum Boltzmann machines with the β-variational quantum eigensolver

Optimal control as a graphical model inference problem

Irregular dynamics in up and down cortical states

Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model

Linear theory for control of nonlinear stochastic systems

Bayesian neural networks with variable selection for prediction of genotypic values

Why adiabatic quantum annealing is unlikely to yield speed-up

Stochastic Syncing in Sinusoidally Driven Atomic Orbital Memory

Time-integrated position error accounts for sensorimotor behavior in time-constrained tasks

Nonlinear Stochastic Optimal Control with Input Saturation Constraints Based on Path Integrals

Postoperative Delirium After Intracranial Surgery: A Retrospective Cohort Study

Action selection in growing state spaces: control of network structure growth

Stochastic optimal control as non-equilibrium statistical mechanics: calculus of variations over density and current

The Variational Garrote

A likelihood-based framework for the analysis of discussion threads

Linear PDEs and eigenvalue problems corresponding to ergodic stochastic optimization problems on compact manifolds

A generative model for music transcription

Quantitative analysis of task selection for brain-computer interfaces

Emerging phenomena in neural networks with dynamic synapses and their computational implications

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