
Gilad (SF summer)
@giladturok
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ml intern @uber π | incoming phd student @cornell_tech π» | probabilistic ml research π€ | novelty seeker π€ | Prev: @FlatironInst @Columbia
NYC π½πΊπΈ
Joined November 2023
I'm currently in my JAX era:. - Write my own JAX projects for ML + stats.- Do serious deep learning with {model, tensor, data} parallelism.- Write JAX-style code (functional) with grad, vmap, pmap, jit.- Understand why JAX is fast (jit, SDMP, lax).- PyTorch vs JAX trade-offs
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JAX FOR THE WIN!! Itβs a production ready world modeling code base.
Inspired by today's Genie 3 release? We are open-sourcing π§ββοΈJasmineπ§ββοΈ, a production-ready JAX-based codebase for world modeling from unlabeled videos. Scale from single hosts to hundreds of xPUs thanks to XLA! π§΅ (1/10)
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RT @natolambert: America needs to take open models more seriously. This summer the early lead in open model adoption of the US via Llama haβ¦.
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This is my favorite NeurIPS workshop. Such cool work!.
πππ The third Structured Probabilistic Inference and Generative Modeling (SPIGM) workshop is **back** this year with @NeurIPSConf at San Diego!. In the era of foundation models, we focus on a natural question: is probabilistic inference still relevant? #NeurIPS2025
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- Probabilistic ML: An Introduction by Kevin Murphy.- Probabilistic ML: Advanced topics by also Kevin Murphy.- Reinforcement Learning: An Overview by also also by Kevin Murphy .- A First Course in Monte Carlo Methods by D. Sanz-Alonso and O. Al-Ghattas
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JAX for the WIN!.
.@StanfordCRFM's Marin project has released the first fully open model in JAX. Itβs an 'open lab' sharing the entire research process - including code, data, and logs, to enable reproducibility and further innovation.
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RT @giladturok: Just found out Google Scholar doesnβt have an app, only a website. A PhD student can only dream ππ.
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