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#variationalautoencoder search results

No results for "#variationalautoencoder"
StatsPapers's profile picture. New Statistics submissions to https://t.co/HHqPequzVU (not affiliated with https://t.co/HHqPequzVU)
Statistics Papers
 @StatsPapers
2 h

Natural Variational Annealing for Multimodal Optimization. arxiv.org/abs/2501.04667

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BasedStatistic's profile picture. software / finance stuff. (mostly) self-funded.
Probably Ballistic
 @BasedStatistic
17 h

in prior life i designed one of the VaR reduction models that sell high beta stocks quickly to reduce per-sector VaR as per-sector VIX increases. in this way, whenever the vix goes up and the market goes down, i actually just spank myself and say “bad algo, very bad”

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StatMLPapers's profile picture. Unofficial updates of statistical machine learning papers on arXiv
Stat.ML Papers
 @StatMLPapers
Dec 18

Natural Variational Annealing for Multimodal Optimization ift.tt/3urx1Ep

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razoralign's profile picture. Between language and causality, ephemeral echoes trace the edge of consciousness— intelligence is a transient footprints. https://t.co/5L9IhaBcRx
antisense.
 @razoralign
Dec 17

SEEK-VFI (Spectral Ensembling of topic models with Eigenscore for K-agnostic Variable Feature Identification), an ensemble machine learning method for prioritizing genes that are highly variable with respect to latent topological structure.

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ai_for_success's profile picture. Post about latest AI news, tools, tutorials and memes.
AshutoshShrivastava
@ai_for_success
Dec 17

2/5 Traditional visual tokenizers (VAEs) focus on pixel-level reconstruction. Better reconstruction accuracy doesn't translate to better generation quality. This means pouring more compute into pre-training these tokenizers does nothing for downstream generation performance.…

ai_for_success's tweet image. 2/5 Traditional visual tokenizers (VAEs) focus on pixel-level reconstruction. Better reconstruction accuracy doesn't translate to better generation quality. This means pouring more compute into pre-training these tokenizers does nothing for downstream generation performance.…
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Mindplex_AI's profile picture. A tech startup that harnesses the synergy between Blockchain and AI to create next-gen solutions for today's digital problems. https://t.co/oYNX2kgT7l
Mindplex
@Mindplex_AI
Dec 16

A minimalist Transformer achieves maximum expressive power: this teaser explores how VAR’s pyramid up-sampling and self-attention together prove universality, reshaping how we think about efficiency, simplicity, and generative AI theory.

Mindplex_AI's tweet image. A minimalist Transformer achieves maximum expressive power: this teaser explores how VAR’s pyramid up-sampling and self-attention together prove universality, reshaping how we think about efficiency, simplicity, and generative AI theory.
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norpadon's profile picture.
Artur Chakhvadze
@norpadon
Dec 15

Так вот весь смысл VAE в том что называется Amortized Variational Inference: вместо того чтобы хранить отдельный хуй на каждый семпл, параметризовать хуй нейронной сетью как хуй(x)

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ritesh_bhadana's profile picture. Pursuing Engineering (CSAI)
Riteish
 @ritesh_bhadana
Dec 14

Autonencoders Unsupervised learning for dimensionality reduction, denoising, feature learning. Encoder compresses input decoder reconstructs it. #AI #machinelearningwithpython #codinginpython #us #GeminiFourth #LingOrm #Australia #WWERaw #StarAcademy #bondibeach #WilliamEst

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TianyuPang1's profile picture. 🇸🇬Research Scientist at Sea AI Lab @SeaGroup | 👨🏻‍🎓PhD/BS from @Tsinghua_Uni and ex-@MSFTResearch | 🔬Generative Models, Reasoning, and Trustworthy AI.
Tianyu Pang
@TianyuPang1
Sep 29

🚨Variational Reasoning for Language Models🚨 We show how treating thinking traces as latent variables unlocks a principled, stable, and unified framework for training reasoning LLMs.

TianyuPang1's tweet image. 🚨Variational Reasoning for Language Models🚨 We show how treating thinking traces as latent variables unlocks a principled, stable, and unified framework for training reasoning LLMs.
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Applsci's profile picture. Applied Sciences (ISSN 2076-3417; IF 2.5) is an international peer-reviewed #openaccess journal on all aspects of applied natural sciences by @MDPIOpenAccess.
Applied Sciences MDPI
@Applsci
Aug 27

🔥 Read our Highly Cited Paper 📚Challenges of Using Synthetic #Data Generation Methods for Tabular Microdata 🔗mdpi.com/2076-3417/14/1… 👨‍🔬by Marko Miletic and Murat Sariyar 🏫Bern University of Applied Sciences #syntheticdata #variationalautoencoder

Applsci's tweet image. 🔥 Read our Highly Cited Paper 📚Challenges of Using Synthetic #Data Generation Methods for Tabular Microdata 🔗mdpi.com/2076-3417/14/1… 👨‍🔬by Marko Miletic and Murat Sariyar 🏫Bern University of Applied Sciences #syntheticdata #variationalautoencoder
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jucsnews's profile picture. The Journal of Universal Computer Science is a high-quality electronic publication that deals with all aspects of computer science.
J.UCS News
 @jucsnews
Jun 29

We are happy to share our new J.UCS Issue! lib.jucs.org/issue/5012/ Four articles deal with topical aspects of computer science such as #variationalautoencoder (#vae), #visualstudiocode, Interoperability Architectural Solutions for #softwaresystems, #ethicalartificialintelligence.

jucsnews's tweet image. We are happy to share our new J.UCS Issue! lib.jucs.org/issue/5012/ Four articles deal with topical aspects of computer science such as #variationalautoencoder (#vae), #visualstudiocode, Interoperability Architectural Solutions for #softwaresystems, #ethicalartificialintelligence.
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Sensors_MDPI's profile picture. Sensors (ISSN 1424-8220; IF: 3.5) is the leading international, peer-reviewed, #OpenAccess journal on the science and technology of #sensors and applications.
Sensors MDPI
 @Sensors_MDPI
May 30

A Variational Autoencoder Cascade Generative Adversarial Network for Scalable 3D Object Generation and Reconstruction mdpi.com/1424-8220/24/3… #variationalautoencoder

Sensors_MDPI's tweet image. A Variational Autoencoder Cascade Generative Adversarial Network for Scalable 3D Object Generation and Reconstruction mdpi.com/1424-8220/24/3… #variationalautoencoder
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Applsci's profile picture. Applied Sciences (ISSN 2076-3417; IF 2.5) is an international peer-reviewed #openaccess journal on all aspects of applied natural sciences by @MDPIOpenAccess.
Applied Sciences MDPI
@Applsci
May 22

🔥 Read our Paper 📚 Challenges of Using Synthetic Data Generation Methods for Tabular Microdata 🔗 mdpi.com/2076-3417/14/1… 👨‍🔬 by Marko Miletic andMurat Sariyar. @bfh_hesb #syntheticdata #variationalautoencoder #copula #generativeadversarialnetworks #GAN

Applsci's tweet image. 🔥 Read our Paper 📚 Challenges of Using Synthetic Data Generation Methods for Tabular Microdata 🔗 mdpi.com/2076-3417/14/1… 👨‍🔬 by Marko Miletic andMurat Sariyar. @bfh_hesb #syntheticdata #variationalautoencoder #copula #generativeadversarialnetworks #GAN
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LHBioinf_UTSW's profile picture. Dynamic, diverse department of bioinformaticians, systems biologists, geneticists, statisticians, cell & mol biologists, microscopy experts, AI engineers.
Lyda Hill Department of Bioinformatics
 @LHBioinf_UTSW
Feb 12

Registration now open for our Theory of Variational Methods nanocourse. Scan QR in pic or click here to apply: redcap.link/Reg_VariaMeth_… Course Info: nanocourses.net/spring-2025/#v… #GenerativeML #VariationalAutoencoder #Concepts

LHBioinf_UTSW's tweet image. Registration now open for our Theory of Variational Methods nanocourse. Scan QR in pic or click here to apply: redcap.link/Reg_VariaMeth_… Course Info: nanocourses.net/spring-2025/#v… #GenerativeML #VariationalAutoencoder #Concepts
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IIT_Comillas's profile picture. IIT is a non-profit institute promoting research and PhD training in technology and collaborating with industry and government on innovative projects.
IIT Comillas
 @IIT_Comillas
Feb 12

🚨 New #OpenAccess #paper! 📄 Our researchers Francisco J. Herraiz, Javier Matanza, PhD & others present a #VariationalAutoencoder approach for generating #syntheticsignals with #capacitivesensors, improving #DataAugmentation & #MachineLearning. 🔍⚡ 🔗 shorturl.at/SZ6ih

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GoatstackAI's profile picture. AI Agent that reads scientific papers for you and crafts personalized newsletters
GoatStack.AI
 @GoatstackAI
Apr 17, 2024

A novel VAE enabling conditional sampling of features for enhanced data generation and imputation. #NeuralProbabilisticModels #VariationalAutoencoder #DataGeneration

GoatstackAI's tweet image. A novel VAE enabling conditional sampling of features for enhanced data generation and imputation. #NeuralProbabilisticModels #VariationalAutoencoder #DataGeneration
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