Top Tweets for #ML4ENG
Their optimisation-based MARL algorithm allows for coordination of prosumers at scale without sharing any private data in stochastic environments π @oxengsci @OxfordSparks @wimlds #energytwitter #reinforcementlearning #ML4Eng
@FortunatoMeire This is the great work you showed at the NeurIPS #ml4eng workshop, right? Really cool! Especially the generalization capability - from a flag to a windsock π also, one of the few ML for CFD approaches which generalizes even for compressible flow. Would be interesting to see 1/2
@pranayseshadri is in the poster room! #ML4Eng
If you are interested in how ML approaches can advance the design of fluid dynamics systems, please stop by our poster at the #ML4Eng Workshop at #NeurIPS2020. We will be presenting our work on PINN-based surrogate which uses a set of Fourier features to improve generalization.
Excited to be a part of #NeurIPS2020 on the #ML4ENG workshop. Check out our poster at the 1st session 3:20-5:20 pm (CET) / 9:20-11:20 am (EST). https://t.co/J3juCuL0Qw
A big thanks to the team: @yunusalapan @metin_sitti
Glad to present our work "Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors" at the #NeurIPS2020 #ML4ENG workshop tomorrow!
πhttps://t.co/4cvnRAFIn8
β°Dec 12 9:20-11:20 AM EST
π https://t.co/DKVpGCLx9p
WS schedule: https://t.co/XJqi7trcZF
At #NeurIPS2020? This Saturday, join for the workshop on ML for Engineering Modeling, Simulation and Design (#ML4Eng)!
Schedule & accepted papers: https://t.co/8NOwVGcShS
Some very interesting talks & papers and I'm looking forward to the https://t.co/Q0APsenDQ2 poster sessions
Excited to present our recent work at the #NeurIPS2020 workshop on Machine Learning for Engineering Modeling, Simulation, and Design(#ML4ENG) on December 12. Thanks, @ryan_p_adams @zicokolter @yuqirose @shoyer @AlexBeatson @priyald17 for organizing this great workshop #ML4ENG π
I am excited to announce that our recent work titled "Accelerating Inverse Design of Nanostructures Using Manifold Learning" is accepted to #ML4Eng at @NeurIPSConf 2020 and is now available here: https://t.co/yHt6g2Yiq7
@yashhar7 @GeorgiaTech @GeorgiaTech_ECE @mlatgt
Our recent work on using Fourier features in Physics-informed Neural Networks (#PINNs) for fluid-dynamic problems is now available on #arXiv (https://t.co/8WTdXt4Mg3). We will present it at the #NeurIPS2020 Workshop on #ML for Engineering Modeling, Simulation, & Design (#ML4Eng).
Excited to give a presentation on our work-in-progress at the #NeurIPS2020 workshop on Machine Learning for Engineering Modeling, Simulation, and Design(#ML4ENG) in December. Stay tuned for details!
Kudos to the team @yunusalapan @metin_sitti
https://t.co/J3juCuL0Qw
Tagging others that may be interested in the Physics Informed Machine Learning aspects of this seminar:
@adjiboussodieng
@AnimaAnandkumar
@BethanyLusch
@DeepMind
@FrankNoeBerlin
@hardmaru
@MilesCranmer
@PeterWBattaglia
@sarameghanbeery
@shoyer
@Tesssmidt
@ICERM
@IPAM_ucla
#ML4ENG
Consider submitting to the #NeurIPS2020 workshop on ML for Engineering Modeling, Simulation and Design (#ML4Eng)!
Website & call for papers: https://t.co/lZqQSXpg8s
Submissions are open: deadline Oct 5.
Calling for submissions to our workshop on ML for Engineering Modeling, Simulation, and Design! Submissions due Oct 5. #NeurIPS2020 #ML4Eng
Excited to be organizing a #NeurIPS2020 workshop on ML for Engineering Modeling, Simulation and Design (#ML4Eng)!
Website & call for papers: https://t.co/8NOwVFVhqk
Submissions are open: deadline Oct 5. Submit your short papers and join us to explore this fast-developing area.
Excited to be organizing a #NeurIPS2020 workshop on ML for Engineering Modeling, Simulation and Design (#ML4Eng)!
Website & call for papers: https://t.co/8NOwVFVhqk
Submissions are open: deadline Oct 5. Submit your short papers and join us to explore this fast-developing area.
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