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Title | Physics ∩ ML - a virtual hub at the interface of theoretical physics and deep |
Description | Physics ∩ ML a virtual hub at the interface of theoretical physics and deep learning. Upcoming talks: 22 Mar 2023 The Gaussian world is not enough - how d |
Keywords | N/A |
WebSite | physicsmeetsml.org |
Host IP | 168.235.111.98 |
Location | United States |
Site | Rank |
US$1,260,410
Last updated: 2023-05-17 11:14:39
physicsmeetsml.org has Semrush global rank of 8,397,511. physicsmeetsml.org has an estimated worth of US$ 1,260,410, based on its estimated Ads revenue. physicsmeetsml.org receives approximately 145,432 unique visitors each day. Its web server is located in United States, with IP address 168.235.111.98. According to SiteAdvisor, physicsmeetsml.org is safe to visit. |
Purchase/Sale Value | US$1,260,410 |
Daily Ads Revenue | US$1,164 |
Monthly Ads Revenue | US$34,904 |
Yearly Ads Revenue | US$418,844 |
Daily Unique Visitors | 9,696 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
physicsmeetsml.org. | A | 600 | IP: 168.235.111.98 |
physicsmeetsml.org. | NS | 3600 | NS Record: ns05.domaincontrol.com. |
physicsmeetsml.org. | NS | 3600 | NS Record: ns06.domaincontrol.com. |
Physics ∩ ML a virtual hub at the interface of theoretical physics and deep learning. Upcoming talks: 22 Mar 2023 The Gaussian world is not enough - how data shapes neural network representations Sebastian Goldt, SISSA Past talks: 08 Feb 2023 Bayesian Renormalization: An explicit correspondence between statistical inference and exact renormalization Marc Klinger, University of Illinois Urbana-Champaign 11 Jan 2023 Implicit Regularization in Quantum Tensor Networks Nadav Cohen, Tel Aviv University 14 Dec 2022 Differentiable Programming in HEP Lukas Heinrich, TU Munich 16 Nov 2022 Anomaly detection in the search for new physics Gregor Kasieczka, Hamburg University 05 Oct 2022 Maths with transformers François Charton, Meta 27 Jul 2022 Minerva: Solving Quantitative Reasoning Problems with Language Models Guy Gur-Ari, Google Brain Next page → For link and password to the talks, please sign up for the Physics ∩ ML mailing list . Videos may be found on our YouTube channel and slides by |
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