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Ari Weinstein's Research

Ari Weinstein's Research. Distinguishing Conjoint and Independent Neural Tuning for Stimulus Features With fMRI Adaptation. Drucker, Kerr, Aguirre. Innovative Methodology 2009. 8220;We describe an application of functional magnetic resonance imaging (fMRI) adaptation to distinguish between independent and conjoint neural representations of dimensions by examining the neural signal evoked by changes in one versus two stimulus dimensions and considering the metric of two-dimension additivity.”. 8220;These ...

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Ari Weinstein's Research | aresearch.wordpress.com Reviews
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Ari Weinstein's Research. Distinguishing Conjoint and Independent Neural Tuning for Stimulus Features With fMRI Adaptation. Drucker, Kerr, Aguirre. Innovative Methodology 2009. 8220;We describe an application of functional magnetic resonance imaging (fMRI) adaptation to distinguish between independent and conjoint neural representations of dimensions by examining the neural signal evoked by changes in one versus two stimulus dimensions and considering the metric of two-dimension additivity.”. 8220;These ...
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Ari Weinstein's Research | aresearch.wordpress.com Reviews

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Ari Weinstein's Research. Distinguishing Conjoint and Independent Neural Tuning for Stimulus Features With fMRI Adaptation. Drucker, Kerr, Aguirre. Innovative Methodology 2009. 8220;We describe an application of functional magnetic resonance imaging (fMRI) adaptation to distinguish between independent and conjoint neural representations of dimensions by examining the neural signal evoked by changes in one versus two stimulus dimensions and considering the metric of two-dimension additivity.”. 8220;These ...

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Publications | Ari Weinstein's Research

https://aresearch.wordpress.com/publications

Ari Weinstein's Research. My Google Scholar profile. Local Planning For Continuous Markov Decision Processes. Model-based hierarchical reinforcement learning and human action control. Matthew Botvinick, Ari Weinstein. Philosophical Transactions of the Royal Society of London: Series B 2014. Inferring the intentional states of autonomous virtual agents. Open-loop planning in large-scale stochastic domains. Ari Weinstein and Michael L. Littman. In AAAI 2013. The cross-entropy method optimizes for quantiles.

2

Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. Lu, Tang. AAAI 2015 | Ari Weinstein's Research

https://aresearch.wordpress.com/2015/07/07/surpassing-human-level-face-verification-performance-on-lfw-with-gaussianface-lu-tang-aaai-2015

Ari Weinstein's Research. Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. Lu, Tang. AAAI 2015. First algorithm to beat human performance in Labeled Faces in the Wild dataset. This has traditionally been a difficult problem for a few reasons:. Often algorithms try to use different face datasets to help training, but the faces in different datasets come from different distributions. On the other hand, relying on only one dataset can lead to overfitting. Because GPs are in the...

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Videos | Ari Weinstein's Research

https://aresearch.wordpress.com/videos

Ari Weinstein's Research. Ari Weinstein’s youtube videos. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Email (Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. Notify me of new comments via email. Lukas Kirchhart's Blog.

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Notes on Optimization Task | Ari Weinstein's Research

https://aresearch.wordpress.com/2015/07/08/notes-on-optimization-task

Ari Weinstein's Research. Enter your password to view comments. Protected: Notes on Optimization Task. This content is password protected. To view it please enter your password below:. Next post →. Follow Ari Weinstein's Research on WordPress.com. David Silver's Compilation of RL Applicaitons. Humanity Centered Robotics Initiative at Brown. I’m a bandit — Random topics on optimization, probability, and statistics. By Sébastien Bubeck. Lukas Kirchhart's Blog. Michael Littman's Home Page.

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Deep Learning. LeCun, Bengio, Hinton. Nature 2015 | Ari Weinstein's Research

https://aresearch.wordpress.com/2015/07/06/deep-learning-lecun-bengio-hinton-nature-2015

Ari Weinstein's Research. Deep Learning. LeCun, Bengio, Hinton. Nature 2015. 8220;Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. “. Previous machine learning methods traditionally relied on significant hand-engineering to process data into something the real learning algorithm could use. Has allowed for breakthroughs in many different areas. Theoretical results as to why NNs rarely get stuck i...

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Ari Weinstein's Research

Ari Weinstein's Research. Distinguishing Conjoint and Independent Neural Tuning for Stimulus Features With fMRI Adaptation. Drucker, Kerr, Aguirre. Innovative Methodology 2009. 8220;We describe an application of functional magnetic resonance imaging (fMRI) adaptation to distinguish between independent and conjoint neural representations of dimensions by examining the neural signal evoked by changes in one versus two stimulus dimensions and considering the metric of two-dimension additivity.”. 8220;These ...

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