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Yamins.com lookup results from whois.ccdomain.co.kr server:
- Domain created: 1999-07-26T23:40:45Z
- Domain updated: 2024-07-21T17:20:30Z
- Domain expires: 2029-07-26T23:40:43Z 4 Years, 338 Days left
- Website age: 25 Years, 27 Days
- Registrar Domain ID: 8462443_DOMAIN_COM-VRSN
- Registrar Url: http://www.cosmotown.com
- Registrar WHOIS Server: whois.ccdomain.co.kr
- Registrar Abuse Contact Email:
- Registrar Abuse Contact Phone: Not Available
- Name server:
- NS1.SSLCATACOMBNETWORKING.COM
- NS2.SSLCATACOMBNETWORKING.COM
- NS3.SSLCATACOMBNETWORKING.COM
Network
- inetnum : 144.217.20.16 - 144.217.20.31
- name : OVH-CUST-3231959
- handle : NET-144-217-20-16-1
- status : Reassigned
- created : 2016-09-24
- changed : 2016-09-24
Owner
- organization : SSLcatacomb Networking
- address : Array,Evansville,IN,47714,US
Abuse
- handle : ABUSE3956-ARIN
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- email : [email protected]
Technical support
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Host Informations
| Host name | madonna3.sslcatacombnetworking.com |
| IP address | 144.217.20.23 |
| Location | Beauharnois Canada |
| Latitude | 45.3161 |
| Longitude | -73.8736 |
| Timezone | America/Toronto |
| Postal | J6N |
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Daniel Yamins - Google Scholar
DLK Yamins, H Hong, CF Cadieu, EA Solomon, D Seibert, JJ DiCarlo. Proceedings of the national academy of sciences 111 (23), 8619-8624, 2014. 1864: 2014: Using goal-driven …
Scholar.google.comDA: 18 PA: 10 MOZ Rank: 28
Using goal-driven deep learning models to understand …
Feb 23, 2016 A new way forward: goal-driven networks as neural models. The goal-driven approach is inspired by the idea that, whatever parameters are used, a neural network …
Nature.comDA: 14 PA: 17 MOZ Rank: 32
NeuroAILab - Home
Welcome to the website of the Stanford Neuroscience and Artificial Intelligence Laboratory (NeuroAILab)! Our research lies at intersection of neuroscience, artificial intelligence, …
Neuroailab.stanford.eduDA: 23 PA: 23 MOZ Rank: 26
How AI and neuroscience drive each other forwards
Jul 24, 2019 In 2018, Yamins and his colleagues performed a similar feat using the auditory cortex, in which they created a deep neural network …
Nature.comDA: 14 PA: 28 MOZ Rank: 45
Research - Dan Yamins - Stanford University
Research - Dan Yamins. Please visit the NeuroAILab website for an updated description of research. My work is founded on two mutually reinforcing hypotheses: H1. By studying how the brain solves …
Web.stanford.eduDA: 16 PA: 22 MOZ Rank: 42
Quanta Magazine
Oct 28, 2020 DiCarlo and Yamins, who now runs his own lab at Stanford University, are part of a coterie of neuroscientists using deep neural networks to make sense of the brain’s architecture. In particular, …
Quantamagazine.orgDA: 22 PA: 50 MOZ Rank: 88
Publications - NeuroAILab - Stanford University
Computational Neuroscience & Artificial Intelligence Journal Articles & Conference Proceedings (*, ** = equal contribution) Kunin D, Sagastuy-Brena J, Gillespie L, Margalit …
Neuroailab.stanford.eduDA: 23 PA: 18 MOZ Rank: 47
Active World Model Learning with Progress Curiosity
Active World Model Learning with Progress Curiosity. Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins. Proceedings of the 37th International Conference …
Proceedings.mlr.pressDA: 21 PA: 17 MOZ Rank: 45
Making a Science of Model Search: Hyperparameter Optimization …
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures. James Bergstra, Daniel Yamins, David Cox. …
Proceedings.mlr.pressDA: 21 PA: 20 MOZ Rank: 49
A Task-Optimized Neural Network Replicates Human Auditory
May 2, 2018 A core goal of auditory neuroscience is to build quantitative models that predict cortical responses to natural sounds. Reasoning that a complete model of …
Pubmed.ncbi.nlm.nih.govDA: 23 PA: 10 MOZ Rank: 42
Performance-optimized hierarchical models predict neural …
May 8, 2014 Moreover, the model’s intermediate layers are highly predictive of neural responses in the V4 cortex, a midlevel visual area that provides the dominant cortical …
Pnas.orgDA: 12 PA: 32 MOZ Rank: 54
Artificial brains are helping scientists study the real thing
May 24, 2023 Daniel Yamins, a neuroscientist at the Massachusetts Institute of Technology ( MIT ), and his colleagues trained an ANN to pick out objects from …
Economist.comDA: 17 PA: 50 MOZ Rank: 39
Using goal-driven deep learning models to understand sensory …
Fueled by innovation in the computer vision and artificial intelligence communities, recent developments in computational neuroscience have used goal-driven hierarchical …
Pubmed.ncbi.nlm.nih.govDA: 23 PA: 10 MOZ Rank: 45
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