amensch.fr évaluation et analyse
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
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Meta Tags
| Title | Arthur |
| Description | Arthur Mensch I am a research scientist at DeepMind, that I have joined at the end of 2020. I work in Paris office. I was a post-doctoral research at Écol |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 185.199.111.153 |
| Location | - |
Plus à explorer
amensch.fr Évaluation
|
Euro€600,915
Dernière mise à jour: 2022-10-14
amensch.fr a un classement mondial Semrush de 17,613,647. amensch.fr a une valeur estimée à € 600,915, sur la base de ses revenus publicitaires estimés. amensch.fr reçoit environ 69,337 visiteurs uniques chaque jour. Son serveur Web est situé au -, avec l'adresse IP 185.199.111.153.Selon SiteAdvisor, amensch.fr est sûr à visiter. |
Trafic & Estimations de la valeur
| Valeur d'achat/vente | Euro€600,915 |
| Revenus publicitaires quotidiens | Euro€555 |
| Revenus publicitaires mensuels | Euro€16,641 |
| Revenus publicitaires annuels | Euro€199,689 |
| Visiteurs uniques quotidiens | 4,623 |
| Remarque: Toutes les valeurs de trafic et de revenus sont des estimations. | |
DNS Records
| Host | Type | TTL | Data |
| amensch.fr. | A | 3600 | IP: 185.199.111.153 |
| amensch.fr. | A | 3600 | IP: 185.199.110.153 |
| amensch.fr. | A | 3600 | IP: 185.199.109.153 |
| amensch.fr. | A | 3600 | IP: 185.199.108.153 |
| amensch.fr. | NS | 3600 | NS Record: ns200.anycast.me. |
| amensch.fr. | NS | 3600 | NS Record: dns200.anycast.me. |
| amensch.fr. | MX | 3600 | MX Record: 1 mx1.ovh.net. |
| amensch.fr. | MX | 3600 | MX Record: 5 mx2.ovh.net. |
| amensch.fr. | MX | 3600 | MX Record: 100 mxb.ovh.net. |
| amensch.fr. | TXT | 600 | TXT Record: v=spf1 include:mx.ovh.com ~all |
HtmlToTextCheckTime:2022-10-14
| Arthur Mensch I am a research scientist at DeepMind, that I have joined at the end of 2020. I work in Paris office. I was a post-doctoral research at École Normale Supérieure, Paris, in Gabriel Peyré’s lab. I hold a Ph.D. in machine learning, prepared in Inria Parietal, from 2015 to 2018. I am currently interested in optimization and large-scale deep-learning, and continue to have interest for structured prediction, optimal transport and game theory. My Ph.D. was obtained under the supervision of Gaël Varoquaux, Julien Mairal and Bertrand Thirion. I developed new stochastic algorithms and multi-task models for terabyte sized fMRI dataset analysis. News 11/20 I have joined DeepMind as a Research Scientist 09/20 Our work on estimating optimal transport distances from streams of samples was accepted at NeurIPS 2020. 09/20 Our work on estimating mixed Nash equilibria with continuous strategies was accepted at NeurIPS 2020. 03/20-06/20 I am working with Inria and AP-HP to help processing |
HTTP Headers
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amensch.fr Whois Information
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