This paper presents a novel, interdisciplinary study that leverages a Machine Learning (ML) assisted framework to explore the geometry of affine Deligne–Lusztig varieties (ADLV). The primary objective is to investigate the non-emptiness pattern, dimension, and enumeration of irreducible components of ADLV.
May 15, 2024
Aug 22, 2023 · This paper presents a novel, interdisciplinary study that leverages a Machine Learning (ML) assisted framework to explore the geometry of ...
May 18, 2024 · This paper presents a novel, interdisciplinary study that leverages a Machine Learning (ML) assisted framework to explore the geometry of affine ...
Oct 18, 2023 · In this interdisciplinary study, we describe a procedure to assist and accelerate research in pure mathematics by using machine learning. We ...
Oct 18, 2023 · Shimura varieties. Affine Deligne–Lusztig varieties. Page 6. What does a mathematician do all day? ML for pure math. Our case study. So you must ...
This repository contains code to accompany the paper "Machine learning assisted exploration for affine Deligne-Lusztig varieties." - Jinpf314/ML4ADLV.
Aug 22, 2023 · MACHINE LEARNING ASSISTED EXPLORATION FOR AFFINE ... Learning (ML) assisted framework to explore the geometry of affine Deligne-Lusztig varieties.
Machine learning assisted exploration for affine Deligne-Lusztig varieties ... Understanding affine Deligne-Lusztig varieties using the quantum Bruhat graph.
Duration: 1:02:14
Posted: Oct 19, 2023
Posted: Oct 19, 2023
Access the Broadest & Deepest Set of Machine Learning Services for Your Business for Free. AWS Pre-Trained AI Services...