Jean Kossaifi
@JeanKossaifiPushing boundaries of AI & making it available for all @nvidiaAI | ex @Samsung AI, @amazon AI, PhD @imperialcollege | TensorLy creator https://t.co/1epTxX3XFB 👨💻
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Our paper on Incremental Fourier Neural Operator is finally accepted at @TmlrOrg! Joint work with @jiawzhao , @ZongyiLiCaltech, @JeanKossaifi and @AnimaAnandkumar Let me summarize the work in a couple of tweets 1/6
Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs Robert Joseph George, Jiawei Zhao, Jean Kossaifi, Zongyi Li, Anima Anandkumar. Action editor: Jiajun Wu. openreview.net/forum?id=xI6cP… #fourier #learns #turbulent
A number of my colleagues @Caltech and I have put together a letter voicing our concern regarding CA SB 1047 (AI Safety Act). Sign the letter and show your support! docs.google.com/forms/d/e/1FAI… We call on @caltech students, postdocs, faculty, staff, and alumni to sign but also leave…
Thank you for all the birthday wishes! I had a fabulous birthday with my @Caltech group, with a surprise cake, and discussed how we can make our Neural Operator library even more accessible and capable.
It was such a pleasure to do the podcast with @Dr_NeilA on AI+Science. Building up on my @TEDTalks youtu.be/6bl5XZ8kOzI in the podcast youtu.be/Mamxev0IcZM we traced my journey in AI, how I got started on AI+Science, why LLMs today do not understand the physical world, and…
Cool work with @sofyadym linktr.ee/sofyadym
Bruno Raffin from @Inria is telling us about making your #AI4Science and numerical simulation pipeline more efficient with online training.
Come to our "Equivariant Graph Neural Operator for Modeling 3D Dynamics" poster tomorrow! Please stop by if you are interested!! Wed 24 Jul 1:30 p.m. CEST — 3 p.m. CEST Hall C 4-9 #203 icml.cc/virtual/2024/p…
📣Check out our #ICML24 paper Equivariant Graph Neural Operator (EGNO), a new framework for physical simulation by modeling 3D ODE as temporal functions, w/ zero-shot generalization to any temporal resolution! Paper: arxiv.org/abs/2401.11037 Code: github.com/MinkaiXu/egno 🧵1/n
Here is our new 8B Mamba-based Hybrid LLM: Higher MMLU compared to the 8B transformer and long context extension up to 128K sequences. arxiv.org/abs/2406.07887
A 8B-3.5T hybrid SSM model gets better accuracy than an 8B-3.5T transformer trained on the same dataset: * 7% attention, the rest is Mamba2 * MMLU jumps from 50 to 53.6% * Training efficiency is the same * Inference cost is much less arxiv.org/pdf/2406.07887
📣Check out our #ICML24 paper Equivariant Graph Neural Operator (EGNO), a new framework for physical simulation by modeling 3D ODE as temporal functions, w/ zero-shot generalization to any temporal resolution! Paper: arxiv.org/abs/2401.11037 Code: github.com/MinkaiXu/egno 🧵1/n
Another great, quality open-source project.
timm 1.0.3 is pushed out the door and almost at 30k🌟 It's been stable for ages, why 1.0 now? I wanted one long promised feature in -- unified feature map extraction (features_only=True) for almost all models, incl ViT 🎉 Accomplished via new API. github.com/huggingface/py…
Tensor algebra is the way to scale AI architectures in an efficient way. We have been working on it for more than a decade. Check out tensorly.org led by @JeanKossaifi with @PyTorch framework
Anthropic's Mathematical Framework for Transformer Circuits is all about Kronecker Products; Because they give you a way to model parallel computation (transformer heads). transformer-circuits.pub/2021/framework…
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