Sergio Charles

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I am a recent graduate of Stanford University, where I studied mathematics and computer science, with a concentration in artificial intelligence and machine learning. I will be returning to complete my Masters in statistics. I have also done research in pure mathematics, reinforcement learning and natural language processing.

I am excited about the opportunity to leverage machine learning approaches to solve dynamic, real-world problems in technology. In my opinion, the most compelling realization of artificial intelligence is with everyday digiital assistants. My goal is to create end-to-end digital agents that can few-shot learn and rapidly generalize to a distribution of unseen tasks.

latest posts

selected publications

2021

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    Loss Agnostic and Model Agnostic Meta Neural Architecture Search for Few-Shot Learning
    Gil Kornberg Sergio Charles
    CS229, 2021
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    Variable Quantization Noise for Neural Network Compression
    Lyron Co Ting Keh Sergio Charles
    CS224N, 2021

2019

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    The Existence of Infinitely Many Geometrically Distinct Non-Constant Prime Closed Geodesics on Riemannian Manifolds
    Sergio Charles
    math.DG, 2019

2018

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    On the Time Evolution of Ricci Scalar Curvature in the Late Epoch for a Λ-CDM-Parameterized Universe
    Sergio Charles
    phys, 2018

2017

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    On the Algebro-Geometric Analysis of Meromorphic (1,0)-forms
    Sergio Charles
    math.DG, 2017