Sergio Charles

I am pursuing an M.S. in Statistics at Stanford University, with a focus on artificial intelligence and machine learning. I have a B.S. in Mathematics and Computer Science. I have done research in pure mathematics, reinforcement learning and natural language processing. I am particularly interested in deep generative models and reinforcement learning for physical AI and scientific discovery.

latest posts

Mar 21, 2025	Quantum Mechanics
Dec 28, 2024	Protein Function Prediction using LoRA-Relational Graph Neural Networks and Multi-Task Learning
Aug 7, 2023	A Neat Derivative Trick

selected research

2025

Leveraging deep learning models to increase the representation of nomadic pastoralists in health campaigns and demographic surveillance

2025

Bib HTML

@article{sergio_nomadic_pastoralist,
  title = {Leveraging deep learning models to increase the representation of nomadic pastoralists in health campaigns and demographic surveillance},
  author = {},
  journal = {},
  year = {2025},
  publisher = {Stanford},
}

2024

FuncE GNN: Protein Function Prediction using Multi-Task and Relational Graph Learning

Sergio Charles

2024

Bib HTML

@article{sergio_funcegnn,
  title = {FuncE GNN: Protein Function Prediction using Multi-Task and Relational Graph Learning},
  author = {Charles, Sergio},
  journal = {},
  year = {2024},
  publisher = {Stanford},
}

Spacetime E(n)-Transformer: Equivariant Attention for Spatio-temporal Graphs

Sergio Charles

2024

Bib HTML

@article{sergio_spacetime,
  title = {Spacetime E(n)-Transformer: Equivariant Attention for Spatio-temporal Graphs},
  author = {Charles, Sergio},
  journal = {},
  year = {2024},
  publisher = {Stanford},
}

2021

Loss Agnostic and Model Agnostic Meta Neural Architecture Search for Few-Shot Learning

Gil Kornberg Sergio Charles

CS229, 2021

Bib HTML

@article{sergio_metalearning,
  title = {Loss Agnostic and Model Agnostic Meta Neural Architecture Search for Few-Shot Learning},
  author = {Sergio Charles, Gordon Chi, Gil Kornberg},
  journal = {CS229},
  year = {2021},
  publisher = {Stanford},
}

Variable Quantization Noise for Neural Network Compression

Lyron Co Ting Keh Sergio Charles

CS224N, 2021

Bib HTML

@article{sergio_nlp,
  title = {Variable Quantization Noise for Neural Network Compression},
  author = {Sergio Charles, William Ellsworth, Lyron Co Ting Keh},
  journal = {CS224N},
  year = {2021},
  publisher = {Stanford},
}

2019

The Existence of Infinitely Many Geometrically Distinct Non-Constant Prime Closed Geodesics on Riemannian Manifolds

Sergio Charles

math.DG, 2019

Bib HTML

@article{sergio_geodesics,
  title = {The Existence of Infinitely Many Geometrically Distinct Non-Constant Prime Closed Geodesics on Riemannian Manifolds},
  author = {Charles, Sergio},
  journal = {math.DG},
  year = {2019},
  publisher = {Arxiv},
}

2018

On the Time Evolution of Ricci Scalar Curvature in the Late Epoch for a Λ-CDM-Parameterized Universe

Sergio Charles

phys, 2018

Bib HTML

@article{sergio_gr,
  title = {On the Time Evolution of Ricci Scalar Curvature in the Late Epoch for a {$\Lambda$}-CDM-Parameterized Universe},
  author = {Charles, Sergio},
  journal = {phys},
  year = {2018},
}

2017

On the Algebro-Geometric Analysis of Meromorphic (1,0)-forms

Sergio Charles

math.DG, 2017

Bib HTML