My presentation at ISF 2024 conference (slides with nnetsauce probabilistic forecasting news)

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Here are thes slides of my presentation at the International Symposium on Forecasting today:

https://www.researchgate.net/publication/381957724_Probabilistic_Forecasting_with_RandomizedQuasi-Randomized_networks_presentation_at_the_International_Symposium_on_Forecasting_2024

I discussed probabilistic Forecasting with quasi-randomized networks, sequential split conformal prediction, and GPU computation in Python package nnetsauce (thanks to JAX). Bonus slides: Automated Forecasting (sort of) with nnetsauce’s LazyMTS and time series cross-validation with nnetsauce’s TimeSeriesSplit.

Thanks to the organizers for allowing me to present my independent work on nnetsauce. These conferences are always a great opportunity to meet new people (or people we’ve heard about for a long time), and share our passion.

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