A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Neural Control Variates
[article]
2020
arXiv
pre-print
Preserved Fulltext
Other Versions
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]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2018
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2018
Hikaku seiri seikagaku(Comparative Physiology and Biochemistry)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2010
Current Opinion in Neurobiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
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
2020
Mathematical Problems in Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2021
IEEE transactions on neural systems and rehabilitation engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2014
Neuropsychologia
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2019
Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2018
bioRxiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2019
Journal of Control Science and Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2021
IEEE transactions on neural systems and rehabilitation engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2016
IEEE transactions on neural systems and rehabilitation engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 455,444 results