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Repository contaning the notebooks and codes to reproduce the results presented in the paper: "Inference in Spreading Processes with Neural-Network Priors"
Repository for the paper: "Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions". https://arxiv.org/pdf/2405.15459.
This repository contains the code for the paper "The Computational Advantage of Depth: Learning High-Dimensional Hierarchical Functions with Gradient Descent"
Repository for the paper "Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs" [arXiv:2406.02157]