Domain > www.scottreed.info

More information on this domain is in AlienVault OTX

DNS Resolutions

Date	IP Address
2016-10-10	74.125.142.128 (ClassC)
2017-09-26	216.58.201.240 (ClassC)
2017-11-07	172.217.9.112 (ClassC)
2024-07-07	142.251.33.123 (ClassC)
2024-08-31	142.251.211.251 (ClassC)
2024-09-09	142.250.69.219 (ClassC)
2024-11-05	172.217.14.219 (ClassC)
2025-04-08	142.250.217.123 (ClassC)
2025-05-11	172.217.14.251 (ClassC)
2025-08-27	142.251.215.251 (ClassC)

HTTP/1.1 200 OKExpires: Sun, 07 Jul 2024 06:28:08 GMTDate: Sun, 07 Jul 2024 05:28:08 GMTCache-Control: public, max-age3600Last-Modified: Sun, 10 Feb 2019 12:48:45 GMTETag: 16c96ac7c1952ad91f431204bec1

html>script>(function(i,s,o,g,r,a,m){iGoogleAnalyticsObjectr;irir||function(){(ir.qir.q||).push(arguments)},ir.l1*new Date();as.createElement(o),ms.getElementsByTagName(o)0;a.async1;a.srcg;m.parentNode.insertBefore(a,m)})(window,document,script,https://www.google-analytics.com/analytics.js,ga);ga(create, UA-82214224-1, auto);ga(send, pageview);/script>body stylemargin-left:18%;margin-right:18%>h1 stylemargin-bottom:10px; font-size:36px>Scott Reed/h1>hr/>div>div stylefloat:left; margin-left:0px>img srcfiles/reedscot_profile3.jpg height322px/>/div>div stylefloat:left; margin-left:10px>p>I completed my PhD at the a hrefhttp://umich.edu>University of Michigan/a>./p>p> My adviser was a hrefhttp://web.eecs.umich.edu/~honglak>Honglak Lee/a>.p/>p>Currently I am a senior research scientist at a hrefhttps://deepmind.com>DeepMind/a>./p>b>Linkedin/b>: a hrefhttp://www.linkedin.com/in/reedscott>linkedin.com/in/reedscott/a>br/>b>GitHub/b>: a hrefhttp://www.github.com/reedscot>github.com/reedscot/a>br/>br/>/div>div styleclear:both/>/div>hr/>h3>Interests/h3>p>My current research topics are related to representation learning and deep learning, scalable object detection, multimodal learning, learning to disentangle factors of variation in sensory data, visual analogy-making, and learning compositional programs. Broadly I am interested in neural architectures that can automatically learn feature representations with strong generalization properties in a data-efficient manner./p>hr/>h3>Publications/h3>p>b>Sample Efficient Adaptive Text-to-Speech/b> a hrefhttps://arxiv.org/pdf/1809.10460v1.pdf>PDF/a>br/>Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitasbr/>In i>International Conference on Representation Learning/i>, New Orleans, 2018.br/>p>b>Neural Arithmetic Logic Units/b> a hrefhttps://arxiv.org/pdf/1808.00508.pdf>PDF/a>a hreffiles/nalu.bib>BibTex/a>br/>Andrew Trask, Felix

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Domain > www.scottreed.info

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