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Neural Control Variates [article]

Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller
2020 arXiv   pre-print
We propose neural control variates (NCV) for unbiased variance reduction in parametric Monte Carlo integration.  ...  We also propose to leverage a neural importance sampler to estimate the difference between the original integrand and the learned control variate.  ...  (a) Neural control variate 1 .  ... 
arXiv:2006.01524v2 fatcat:dvwctlopa5e7zlht5x34zuwany

Neural Control Variates for Variance Reduction [article]

Ruosi Wan, Mingjun Zhong, Haoyi Xiong, Zhanxing Zhu
2019 arXiv   pre-print
Instead, we propose to construct those control variates by learning neural networks to handle the cases when test functions are complex.  ...  Control variates approaches are well-known to reduce the variance of the estimation.  ...  Constrained Neural Control Variates In this section, we propose constrained neural control variates (CNCV) for alleviating overfitting.  ... 
arXiv:1806.00159v2 fatcat:ef7cngqclvagbp2zaurgj5dvv4

Physics-informed graph neural networks enhance scalability of variational nonequilibrium optimal control [article]

Jiawei Yan, Grant M. Rotskoff
2022 arXiv   pre-print
We solve for optimal control forces using neural network ans\"atze that are tailored to the physical systems to which the forces are applied.  ...  Here, we describe an algorithm that recasts this task as an optimal control problem that can be solved variationally.  ...  The present work builds on recent developments using machine learning [16] [17] [18] , that provide a generic framework for learning optimal control forces to minimize a variational objective for (1)  ... 
arXiv:2204.05493v1 fatcat:oeriz55ycffr7matzgbxbaxadq

Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators [article]

Shereen Oraby, Lena Reed, Shubhangi Tandon, T. S. Sharath, Stephanie Lukin, Marilyn Walker
2018 arXiv   pre-print
the semantic content and the stylistic variation in the training data.  ...  In many applications, it is also desirable for generators to control the style of an utterance.  ...  Quantitative Results Here, we present results on controlling stylistic variation while maintaining semantic fidelity.  ... 
arXiv:1805.08352v1 fatcat:nfnvfkrze5fsvher77mulwr6ii

Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators

Shereen Oraby, Lena Reed, Shubhangi Tandon, Sharath T.S., Stephanie Lukin, Marilyn Walker
2018 Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue  
the semantic content and the stylistic variation in the training data.  ...  In many applications, it is also desirable for generators to control the style of an utterance.  ...  Quantitative Results Here, we present results on controlling stylistic variation while maintaining semantic fidelity.  ... 
doi:10.18653/v1/w18-5019 dblp:conf/sigdial/OrabyRTSLW18 fatcat:q3ncsgxk6rhxfgrz2yibomwcsm

Homology and Variation in Neural Control of Swimming in Nudipleura Mollusks

Akira SAKURAI
2018 Hikaku seiri seikagaku(Comparative Physiology and Biochemistry)  
またA1とAs1 -4とが互いに興奮しあう関係はトリト ニアの Homology and Variation in Neural Control of Swimming in Nudipleura Mollusks Akira SAKURAI Neuroscience Institute, Georgia State University, Atlanta, GA 30302 -5030, USA  ...  However, their swim CPGs differ in both cellular composition and in the details of the neural mechanisms.  ... 
doi:10.3330/hikakuseiriseika.35.85 fatcat:66x333uflveivg2qn27xpryrby

Vive les differences! Individual variation in neural mechanisms of executive control

Todd S Braver, Michael W Cole, Tal Yarkoni
2010 Current Opinion in Neurobiology  
mechanisms of executive control and the underlying sources of individual variation.  ...  The origins of individual differences variation: genetics, environment, and neural mechanisms A major goal of individual difference research is to identify the sources of variation underlying the observed  ... 
doi:10.1016/j.conb.2010.03.002 pmid:20381337 pmcid:PMC2904672 fatcat:kdevmztcwfg4lf6ym6xio3tm6e

Neural Dynamics Variations Observer Designed for Robot Manipulator Control Using a Novel Saturated Control Technique

Francisco G. Rossomando, Emanuel Serrano, Carlos M. Soria, Gustavo Scaglia
2020 Mathematical Problems in Engineering  
The controller is designed using a saturated SMC (sliding mode controller) and a dynamic variations observer based on GRNN (general regression neural network).  ...  This work presents a novel controller for the dynamics of robots using a dynamic variations observer. The proposed controller uses a saturated control law based on sintg−1. function instead of tanh..  ...  Adaptive Neural Control Comparison. e first set of experiments was made with different neural networks to compensate for the dynamic variations. e objective of this approach is to contribute to the use  ... 
doi:10.1155/2020/3240210 fatcat:iynqppuvbjcolbrzsj6dmakapq

A Multi-Variate Approach to Predicting Myoelectric Control Usability

Jena L. Nawfel, Kevin B. Englehart, Erik J. Scheme
2021 IEEE transactions on neural systems and rehabilitation engineering  
Pattern recognition techniques leveraging the use of electromyography signals have become a popular approach to provide intuitive control of myoelectric devices.  ...  The metrics identified in this work also may constitute more representative evaluation criteria when designing and reporting new control schemes.  ...  APPROACH TO PREDICTING MYOELECTRIC CONTROL USABILITY  ... 
doi:10.1109/tnsre.2021.3094324 fatcat:ljdizdkgszev5iprkzjanrzm2a

Neural correlates of inhibitory control and functional genetic variation in the dopamine D4 receptor gene

Richard C. Mulligan, Sean D. Kristjansson, Angela M. Reiersen, Andres S. Parra, Andrey P. Anokhin
2014 Neuropsychologia  
Discussion-The DRD4 7-repeat allele may alter dopaminergic function in brain regions involved in inhibitory control.  ...  Our hypothesis was that carriers of 7-repeats in the Variable Number of Tandem Repeats (VNTR) of DRD4 (7R+) would recruit prefrontal brain regions involved in successful inhibitory control to a lesser  ...  with the neural correlates of inhibitory control within 18-year-olds.  ... 
doi:10.1016/j.neuropsychologia.2014.07.033 pmid:25107677 pmcid:PMC4180107 fatcat:5bd6sugaofeqdp3mq5mwyzo4eq

A Neural Network Based Sliding Mode Control for Tracking Performance with Parameters Variation of a 3-DOF Manipulator

Hoai-Vu-Anh Truong, Duc-Thien Tran, Kyoung Kwan Ahn
2019 Applied Sciences  
This paper proposes a neural network sliding mode control (NNSMC) to cope with uncertainties and improve the behavior of the robotic manipulator in the presence of an external disturbance.  ...  With large external variations, the demand for stability and robustness must be ensured.  ...  In this part, the neural network based sliding mode control is designed to adapt with the parameter variation. The NNSMC architecture is described in Figure 4 .  ... 
doi:10.3390/app9102023 fatcat:5yr3fvmlnbcgtghmyiawnvpfby

Neural gain control measured through cortical gamma oscillations is associated with individual variations in sensory sensitivity [article]

Elena V Orekhova, Tatiana A Stroganova, Justin F Schneiderman, Sebastian Lundstrom, Bushra Riaz Syeda, Darko Sarovic, Christopher Gillberg, Nouchine Hadjikhani
2018 bioRxiv   pre-print
Individual variations in the gamma suppression may therefore reflect efficiency of gain control and subjective sensitivity to everyday sensory events.  ...  We conclude that intensity-related suppression of gamma response is a promising biomarker of homeostatic control of the excitation-inhibition balance in the visual cortex.  ... 
doi:10.1101/348656 fatcat:jtllaqfxl5cmdh3fsvk5rhakci

Comparative Analysis of Neural-Network and Fuzzy Auto-Tuning Sliding Mode Controls for Overhead Cranes under Payload and Cable Variations

Muhammad A. Shehu, Ai-jun Li, Bing Huang, Yu Wang, Bojian Liu
2019 Journal of Control Science and Engineering  
To maximize the benefits derived from the proposed control method, novel sliding slope-update based on intelligent neural-network and fuzzy algorithms were developed to tune the controller, guaranteeing  ...  height variations, and viscous frictions.  ...  Neural-Network Design.  ... 
doi:10.1155/2019/1480732 fatcat:x2yopdzrbjfkdewfzphvhrhnba

Evaluation of Synergy-Based Hand Gesture Recognition Method against Force Variation for Robust Myoelectric Control

Zhicheng Teng, Guanghua Xu, Renghao Liang, Min Li, Sicong Zhang
2021 IEEE transactions on neural systems and rehabilitation engineering  
The non-stationary characteristics of surface electromyography (sEMG) and possible adverse variations in real-world conditions make it still an open challenge to realize robust myoelectric control (MEC  ...  chosen to extract task-specific synergies associated with each of six hand gestures in the training stage; while for the testing samples, we used the non-negative least square (NNLS) method to estimate neural  ...  FORCE VARIATION FOR MYOELECTRIC CONTROL 1 TABLE I .  ... 
doi:10.1109/tnsre.2021.3124744 pmid:34727034 fatcat:khbhwy64t5h2ja2taw7fu6knme

Improving the Performance Against Force Variation of EMG Controlled Multifunctional Upper-Limb Prostheses for Transradial Amputees

Ali H. Al-Timemy, Rami N. Khushaba, Guido Bugmann, Javier Escudero
2016 IEEE transactions on neural systems and rehabilitation engineering  
We also propose a novel set of features that aim at reducing the impact of force level variations on the prosthesis controlled by amputees.  ...  Abstract-We investigate the problem of achieving robust control of hand prostheses by the Electromyogram (EMG) of transradial amputees in the presence of variable force levels, as these variations can  ...  The authors are also grateful to Adrian Chan for providing the Myoelectric Control Toolbox and to the amputees who participated in the study.  ... 
doi:10.1109/tnsre.2015.2445634 pmid:26111399 fatcat:fxk3ilnu3zgefaqwo4ns6zzcoa
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