TheVariational @TheVariational

The topic of generative AI unites key concepts in machine learning. Follows us to learn more about all things AI. thevariationalbook.com United States Joined November 2023

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Ethan Caballero @ethanCaballero

a week ago

New paper: We present a "Unified Neural Scaling Law" functional form that accurately models & extrapolates the multivariate scaling behaviors of artificial neural networks as the variables listed in this attached video are varied. (1/N)

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Peter Pao-Huang @peterpaohuang

3 weeks ago

Introducing Flux Matching, a generative modeling paradigm that generalizes diffusion models to vector fields that need not be the score function. Enables structural priors in the dynamics, faster sampling, interpretable generation, and more! w/ @StefanoErmon @Xiaojie_Qiu 🧵⤵️

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Michael Albergo @msalbergo

a month ago

New paper! Presenting Discrete Flow Maps: paper: arxiv.org/abs/2604.09784 blog: malbergo.me/discrete-flow-… A laughable problem for me these days is that @nmboffi and I share a research brain, and we have had, time and again, a conversation that ends with “ha so I guess we’re writing the same paper.” Soon we will return to just doing it together :). Here we are doing it again with discrete flow maps and flow language models! A complete and thorough paper led by @PPotaptchik @json_yim @adhisarav @peholderrieth. We took a bit of time to post it to ensure we understood a few more things about the stability of the loss functions. Like @osclsd , @FEijkelboom, and @nmboffi , we think this could be a very helpful paradigm for thinking about fast inference and even better alignment! Here’s our version of the story, and I hope it makes clear how green field this research direction is — we provide a comprehensive picture of the KL losses you can write from the properties of the flow map, some nice geometric proofs about the mean denoiser and the simplex, and find that at this time, the ESD can actually be the most performant, with some caveats. Excited for everyone to work together and push this class of models to their limit!

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TheVariational @TheVariational

a month ago

@wellingmax @wellingmax congrats, an amazing set of topics

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TheVariational @TheVariational

3 months ago

If you don't know @ilyasut @msalbergo @robrombach Now you know! The Continuous Normalizing Flow model is introduced

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TheVariational @TheVariational

3 months ago

Did you ask for more flow layers!? The continuous normalizing flow @RickyTQChen @peholderrieth @shaulneta is introduced

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TheVariational @TheVariational

3 months ago

Normalizing flows just got better @laurent_dinh @jaschasd @thoma_gu here’s how, an improvement over linear transforms is discussed

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TheVariational @TheVariational

3 months ago

Back to basics @alec_helbling @asuzuki1112 back to the flow

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TheVariational @TheVariational

4 months ago

The blueprint behind normalizing flows @FelixDrRelax @mathusmassias is outlined!

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TheVariational @TheVariational

4 months ago

A quick look @DaniloJRezende @shakir_za @marcusabrubaker at the fundamentals of normalizing flows

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TheVariational @TheVariational

7 months ago

@elonmusk @hyhieu226 @NiJinjie latent variable models are making a comeback, thevariationalbook.com

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TheVariational @TheVariational

7 months ago

@JCJesseLai @DrYangSong @gimdong58085414 @mittu1204 @StefanoErmon @JCJesseLai what a great body of work, The Variational Book thevariationalbook.com will be out soon, featuring 140+ intuitive illustrations covering all these seminal topics!

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TheVariational @TheVariational

11 months ago

@elonmusk @venturetwins @elonmusk unlock the mystery of the "model" see @TheVariational happy to share :)

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TheVariational @TheVariational

11 months ago

@thimabru Hi Thiago, very much appreciate the enthusiasm, and thank you for asking. Right now I'm editing, refining and aiming for release in the next few months. In the interim, happy to help as can

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TheVariational @TheVariational

12 months ago

A history of equations @MLStreetTalk @ecsquendor thank you MLST for hosting a session on all things generative AI. check out the 20 page pdf! drive.google.com/file/d/1Y0ggub…