Carlos Miguel Patiño cmpatino

• Amsterdam

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1. Repository for the Utility-Driven Conformal Prediction ICLR 2025 paper

   Python 1

2. Find analytic expression of observable that separates signal and noise using symbolic regression and neural networks.

   Python 1

3. Repository to calculate state probabilities using language models extending the work done by Sprague K. et al in "Watch and Learn" https://arxiv.org/abs/2003.02647

   Jupyter Notebook 1

4. This repository contains the solution for the Predicting Molecular Properties challenge on Kaggle.

   Jupyter Notebook