DeeBee @self_supervised
Building dumb machines with supervised learning; AI researcher in practice | past 》MERL, SamsungResearch | Current 》 Credit and Fraud modeling using AI Joined November 2012-
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Sampling is hard b/c target distribution can be high-dim with many modes. ML can help, even when state space is discrete (thus non-differentiable)! arxiv.org/abs/2508.10684 constructs a strong sampler by fine tuning a discrete diffusion model via stochastic optimal control / RL.
Introducing EmbeddingGemma, our newest open model that can run completely on-device. It's the top model under 500M parameters on the MTEB benchmark and comparable to models nearly 2x its size – enabling state-of-the-art embeddings for search, retrieval + more.
This is an interesting concept avoiding backward pass; an alternative to gradient descent. Similarity with PSO concept
This is an interesting concept avoiding backward pass; an alternative to gradient descent. Similarity with PSO concept
Upto 45k concurrent calls within .3 sec, that’s an engineering marvel
Upto 45k concurrent calls within .3 sec, that’s an engineering marvel
The rStar2-Agent leverages agent-based RL with Python interoperability for tool invocation and result integration to solve mathematical problems, producing concise solutions through efficient reasoning. Traditional approaches rewarded agents only for final correct answers,…
What if foundation models weren’t just for language & vision—but also for structured data? 📊🤖 Stable AI & Tsinghua University introduce LimiX, the first large structured-data model (LDM), designed to handle any tabular task through query-based conditional prediction. Key…
our team at openai is hiring technical staff to build frontier evals for finance. If you're passionate about measuring real-world capabilities, have a love/hate relationship with Excel, or are an ex-banker/ex-investor with technical skills, please reach out!…
False. linkedin.com/posts/yann-lec…
🚀Introducing Hierarchical Reasoning Model🧠🤖 Inspired by brain's hierarchical processing, HRM delivers unprecedented reasoning power on complex tasks like ARC-AGI and expert-level Sudoku using just 1k examples, no pretraining or CoT! Unlock next AI breakthrough with…
For evolving unknown PDEs, ML models are trained on next-state prediction. But do they actually learn the time dynamics: the "physics"? Check out our poster (W-107) at #ICML2025 this Wed, Jul 16. Our "DISCO" model learns the physics while staying SOTA on next states prediction!
Neural Operators – Deep learning at any resolution Extending neural networks to function spaces: While many phenomena are inherently described by functions, neural networks define vector-to-vector mappings that rely on fixed discretization of the input and output. Neural…
Coming up at ICML: 🤯Distribution shifts are still a huge challenge in ML. There's already a ton of algorithms to address specific conditions. So what if the challenge was just selecting the right algorithm for the right conditions?🤔🧵
People are racing to push math reasoning performance in #LLMs—but have we really asked why? The common assumption is that improving math reasoning should transfer to broader capabilities in other domains. But is that actually true? In our study (arxiv.org/pdf/2507.00432), we…
We did a deep-dive on the (many) open source RL frameworks out there, and tried to distill their core design philosophies and supported features. If you're trying to decide which framework to use for your next RL run, this might help: anyscale.com/blog/open-sour…
So true how GNNs resemble with transformers
So true how GNNs resemble with transformers
Wow, a new approach to AI reasoning! Hierarchical Reasoning Model (HRM) While today's LLMs lean on Chain-of-Thought (CoT) — often slow, fragile, and data-hungry — HRM flips the script with a brain-inspired, recurrent design that reasons in a single forward pass. The key…
Chain-of-Experts (CoE) - a new kind of model architecture. It builds on Mixture-of-Experts (MoE) idea that a model can choose a different expert each round. ➡️ As a new addition, experts work in a sequence, one after the other within a layer. CoE keeps the number of active…
If you have a policy that uses diffusion/flow (e.g. diffusion VLA), you can run RL where the actor chooses the noise, which is then denoised by the policy to produce an action. This method, which we call diffusion steering (DSRL), leads to a remarkably efficient RL method! 🧵👇
A beautiful visual blog explaining all the high-level aspects of MoE
🤯 MIND-BLOWN! A new paper just SHATTERED everything we thought we knew about AI reasoning! This is paradigm-shifting. A MUST-READ. Full breakdown below 👇 🧵 1/23
EV_BatteryBets🇺�... @Gaju413719
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ROIC_KING🇺🇸 @Dralalkeas080
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Bedarn @Bedarn595
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Yuetai Li @yuetai12575
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Teardeaut @TeardeautAVFHu
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Carlo Fahey @CarloFahey95200
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SwissCognitive, AI Ve... @SwissCognitive
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hasan davulcu #progra... @hdavulcu
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F*ckedUpCompanies @fedupcompanies
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AI/CC ::Artificial In... @aicccreators
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Reggie @ReggieCYoung
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Jonathan Lorraine @jonLorraine9
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King Solomon @NeelNotFound
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Lev Telyatnikov @lev_telyatnikov
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Sizttt @Sizttt
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Reliable Home VoIP Ph... @ReliablePhone
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Pasquale Minervini @PMinervini
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Protagion: Profession... @protagion
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John C. Havens (he/hi... @johnchavens
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SBX Robotics @sbxrobotics
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Jeremy Georges-Filtea... @jgeofil
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Eleftherios Cheliouda... @EleChelioudakis
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ZenML @zenml_io
2K Followers 2K Following Open-source pipeline framework that integrates all your ML tools. Get all your ML workflows running on any tooling stack with minimum effort.
Matt Janiga 💥♻�... @regulatorynerd
10K Followers 9K Following Legal nerd at Trustly! Former Stripe, SQ, BlueVine, Lithic, Cap One. Views are mine, and not my company's.
Iambic Therapeutics @iambic_ai
3K Followers 1K Following Iambic is a leading clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform.
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1K Followers 4K Following Transylvania University #IIoT #artificialintelligence #cybersecurity #bigdata
Gaurav Aggarwal @fooobar
12K Followers 1K Following VP & Chief AI Scientist@Reliance Jio, Volunteer@iSPIRT. Visiting Faculty @ ISB, 2x founder, Prev: Google Research, Fashiate, Yahoo Labs. Views personal!
Learning on Graphs Co... @LogConference
10K Followers 774 Following LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.
Gautam Kedia @thegautam
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8K Followers 1K Following Founder of @Eigent_AI / @CamelAIOrg. Finding the Scaling Laws of Agents. Prev UniofOxford, KaustVision, Intel, Kumo.
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Fintech Meetup @FintechMeetup
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SemiAnalysis @SemiAnalysis_
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Z Fellows @zfellows
40K Followers 3 Following 1 week, $10,000. Your Fast-Track to Silicon Valley. Apply @ https://t.co/kc29ux5GVI
MetaGPT @MetaGPT_
9K Followers 219 Following The Multi-Agent Framework The World's First AI Dev Team: https://t.co/5ONAO5tqCq Discord: https://t.co/vlkPJDMSQZ
DeepSeek @deepseek_ai
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Rajeev Chandrasekhar ... @RajeevRC_X
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Math Cafe @Riazi_Cafe_en
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Congressman Greg Casa... @RepCasar
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himanshu @himanshustwts
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Sebastian Nehrdich @SebastianNehrd2
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Michael Hartung @DrMHartung
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