#deepmath resultados da pesquisa
How can we get interpretable models out of deep networks? It's possible! On a model of the retina, can use it to get out models that have been handcrafted elsewhere... just do in silico experiments on your deep networks? #deepmath openreview.net/forum?id=ByMLE…
"We've replaced hand-crafted features with hand-crafted architectures" Rene Vidal @ #deepmath on the Mathematics of Deep Learning
"Denoising as a tool to study prior distribution of images " Eero just beginning his talk . Join us to know more: youtube.com/watch?v=pTKW4J… #deepmath @deepmath1
Looking at the dynamics of networks during training in the 'information plane' is a very useful way to understand why and how neural networks are compressing @NaftaliTishby #deepmath arxiv.org/abs/1703.00810
For more information on the Theory of optimization for deep learning, join #deepmath tomorrow for Misha Belkin's talk at 5:25pm EST
Rene delineating the key theoretical questions one face when trying to unpack how deep neural networks work #deepmath @deepmath1
For the first time since 2019 #DeepMath will be in-person, in November in San Diego 😎 Abstract submissions are open deadline August 15. We are looking forward for great submissions focusing on theory of deep networks deepmath-conference.com/submissions @deepmath1
Per caso qualcuno ha detto #parabola? 🧐 Se volete #studiare elementi caratteristici e avere il grafico in un click, basta inserire l'equazione nella barra di #DeepMath, in qualsiasi pagina di #YouMath. Ad esempio: y=x^2-(1/4)x+1 ➡️ youmath.it/formulari/form…)
Se vuoi calcolare il #MCD, vedere i passaggi e soprattutto capire il metodo, #DeepMath può aiutarti!
Wrapping up #DeepMath, Holden Lee talks about theoretical guarantees for learning probability distributions with diffusion models; first discussing their predominance in state-of-the-art generative AI
Vidya Muthukuma talks at #DeepMath about analyzing the generalization in the overparameterized regime for the loss functions typically used for classification tasks
The second day of #DeepMath starts with Yuejie Chi talking about how to ensure faster convergence and generalization in low-rank matrix factorization with overparameterized models through preconditioning
.@tomgoldsteincs is promising a non-mathematical talk by replacing theorems having unrealistic assumptions with “hacky hand-wavey” experiments in favor of fundamental science at #DeepMath
Nina Balcan’s keynote starts with a neat overview of machine learning robustness, as well as of the more recent focus on reliability #DeepMath
DeepMath 2023 @deepmath1 (or FoundationalMath these days!?) is about to start .@SoledadVillar5 asked ChatGPT for some help with a joke to start the conference #DeepMath
Abstract deadline for #deepmath is June 15th. We are offering travel grants for 1) attendees with limited institutional funds forms.gle/ZvsRn9jcLBezBG… and 2) Dependent care travel grant forms.gle/CFnZH5WppL3yUY…
Spread the word ! DeepMath is happening again . This year at John Hopkins University (Baltimore, MD,USA). Make sure to submit your best theoretical work focusing on deep neural networks ☺️. The call for submissions is open till June 15th : deepmath-conference.com/submissions
Multiplication is more than memorized facts, habd tricks, and an algorithm. In my class we discuss what multiplication is used for, what it really IS , and finding the strategies to match a situation/problem best. I care that they “get” what’s going on✖️🤔#ocsbMath #deepmath
My brother,the god @imam_thug_qb #DeepMath video shoot 📽️🎞️📸 directed by @nyceflix instagram.com/p/CptMudBLwwQ/…
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Sincere 👑🔌🎤🎧🎼 $sincere73 (@_sincere_73) • Instagram photo
Sincere 👑🔌🎤🎧🎼 $sincere73 (@_sincere_73) • Instagram photo
Getting this wardrobe ready for the #DeepMath video shoot. @imam_thug_qb @xpthemarxman @nyceflix #HipHop #IconiQApparel #QB #LA #WorldWide We feeding the culture! instagram.com/p/CpYW7n4vxcm/…
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Sincere 👑🔌🎤🎧🎼 $sincere73 (@_sincere_73) • Instagram photo
Sincere 👑🔌🎤🎧🎼 $sincere73 (@_sincere_73) • Instagram photo
Our second talk of the day is Courtney Paquette on dynamics of stochastic optimization algorithms #deepmath
Reserve your spot at @deepmath1 #Deepmath at ☀️UCSD🏖️ (Nov 17-18)! Space is limited Register here: eventbrite.com/e/deepmath-202… Dependent care travel grants: forms.gle/TGdf92UhVRsLEk…
Join us for @deepmath1 #Deepmath at UCSD in November! Register here: deepmath-conference.com/registration Travel grants: forms.gle/TGdf92UhVRsLEk… Speakers include @BachFrancis @AnimaAnandkumar @SaraASolla @yisongyue @berkustun, Courtney Paquette, Daniel Soudry
Full schedule for DeepMath 2022 now up! @deepmath1 @zamakany @gmishne @mikio_aoi deepmath-conference.com/schedule
This tweet is interesting. As is the number of likes and retweets. #tweetception #deepmath #natural
How can we get interpretable models out of deep networks? It's possible! On a model of the retina, can use it to get out models that have been handcrafted elsewhere... just do in silico experiments on your deep networks? #deepmath openreview.net/forum?id=ByMLE…
Looking at the dynamics of networks during training in the 'information plane' is a very useful way to understand why and how neural networks are compressing @NaftaliTishby #deepmath arxiv.org/abs/1703.00810
Swing by #deepmath poster 7 to learn about "Random features with neuronal tuning" @tweetbarrage and I will be hanging out during the session tomorrow work w/ @bingbrunton
Promote your Books,Codes, etc 🎃tinyurl.com/y2r2rmh4 #DataScience #MachineLearning #Deepmath 🍏#Insurance #NLP #Robots #AI #IoT #Belegte #bröchen ⛸️#repost #roggen #wholemeal #pane #bruschetta #foodgasm 💵#delicious #foodporn #sweet #yum #yummy 🦞#homemade
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