Introduces M-information as a scalable measure of higher-order information integration in multivariate time series, computed via convex optimization and tested on neuronal and neuroimaging data.
A survey of deep learning for scientific discovery,
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Space-filling curves enable platform- and shape-oblivious communication-avoiding matrix multiplication that outperforms vendor libraries by up to 5.5x on CPUs while also accelerating LLM prefill and distributed workloads.
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A scalable estimator of higher-order information in complex dynamical systems
Introduces M-information as a scalable measure of higher-order information integration in multivariate time series, computed via convex optimization and tested on neuronal and neuroimaging data.
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Space Filling Curves is All You Need: Communication-Avoiding Matrix Multiplication Made Simple
Space-filling curves enable platform- and shape-oblivious communication-avoiding matrix multiplication that outperforms vendor libraries by up to 5.5x on CPUs while also accelerating LLM prefill and distributed workloads.