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Anima Anandkumar

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Convergence of AI, Simulations and HPCScale By the Bay 20212021-10-28
Introduces a Fourier Neural Operator that learns function-to-function maps using global convolution in the Fourier domain, trains on low-resolution (e.g…
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OSS Keynotes - Day 2 Afternoon SessionsOpen Source Summit + Embedded Linux Conference + OSPOCon 20212021-09-27
30 years of Linux history, the kernel stays pragmatic: Rust kernel modules are trialed for safer drivers, a build policy treats new compiler warnings as…
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Keynote: Next-generation frameworks for Large-scale AIScale By the Bay 20202020-11-12
Claims that embedding structure beats scale: Tensorly layers and CP/tensor-train factorizations produce models an order of magnitude smaller with better…
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Tensorly: A Flexible Python Framework for Machine LearningPyData Los Angeles 20182018-10-17
Tensorly is a Python front end that wires to NumPy SciPy or PyTorch TensorFlow and MXNet backends and provides Jupyter notebooks that define tensorized neural…
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Trinity of Artificial IntelligenceTEDxIndianaUniversity 20182018-10-12
Argues that modern AI needs three concrete ingredients: ImageNet 14 million images and 1,000+ categories for data, deep learning models that reach human-level…
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Anima Anandkumar, Electrical Engineering and CS Dept, UC IrvineMLconf SF 20152015-11-13
Presents a concrete recipe: form higher‑order moments, run SVD on pairwise moments with random projections to whiten, then perform tensor decomposition via…
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