Robot | Path | Permission |
GoogleBot | / | ✔ |
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YandexBot | / | ✔ |
Sitemap: https://www.danieldjohnson.com/sitemapindex.xml User-Agent: * Host: |
Title | Home | Daniel D. |
Description | Daniel D. Johnson About Research Blog Other projects CV Hi! I am a PhD student at the University of Toronto working with David Duvenaud and Chris Maddison |
Keywords | N/A |
WebSite | hexahedria.com |
Host IP | 104.21.36.86 |
Location | United States |
Site | Rank |
US$1,365
Last updated: 2023-05-14 08:05:47
hexahedria.com has Semrush global rank of 0. hexahedria.com has an estimated worth of US$ 1,365, based on its estimated Ads revenue. hexahedria.com receives approximately 157 unique visitors each day. Its web server is located in United States, with IP address 104.21.36.86. According to SiteAdvisor, hexahedria.com is safe to visit. |
Purchase/Sale Value | US$1,365 |
Daily Ads Revenue | US$1 |
Monthly Ads Revenue | US$37 |
Yearly Ads Revenue | US$453 |
Daily Unique Visitors | 10 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
hexahedria.com. | A | 300 | IP: 104.21.36.86 |
hexahedria.com. | A | 300 | IP: 172.67.190.176 |
hexahedria.com. | AAAA | 300 | IPV6: 2606:4700:3032::6815:2456 |
hexahedria.com. | AAAA | 300 | IPV6: 2606:4700:3031::ac43:beb0 |
hexahedria.com. | NS | 86400 | NS Record: nora.ns.cloudflare.com. |
hexahedria.com. | NS | 86400 | NS Record: vick.ns.cloudflare.com. |
hexahedria.com. | MX | 300 | MX Record: 5 alt2.aspmx.l.google.com. |
hexahedria.com. | MX | 300 | MX Record: 1 aspmx.l.google.com. |
hexahedria.com. | MX | 300 | MX Record: 10 aspmx2.googlemail.com. |
hexahedria.com. | MX | 300 | MX Record: 10 aspmx3.googlemail.com. |
hexahedria.com. | MX | 300 | MX Record: 5 alt1.aspmx.l.google.com. |
Daniel D. Johnson About Research Blog Other projects CV Hi! I am a PhD student at the University of Toronto working with David Duvenaud and Chris Maddison, and a research scientist at Google Brain on the Machine Learning for Code team. I’m interested in building systems that "know what they don’t know" and that act in predictable, interpretable, and safe ways in the presence of uncertainty. I’m also interested in understanding the connections between computation, intelligent behavior, and probabilistic reasoning, especially under capacity or memory constraints. One specific direction I’m excited about is extracting information from the full distribution of outputs under a generative model, and exposing this information to the user to help them interpret the output. An example of this is my recent paper on the R-U-SURE system . Another exciting direction is interpreting reasoning and information-seeking as sequential decision making processes. Language models are surprisingly good at |
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