Joao Lucas de Sousa Almeida

Publications

• Fine-Tuned MLP-Mixers as data-driven Numerical Surrogates?

  • • Imran Nasim
    • Joao Lucas de Sousa Almeida
  • 2024
  • NeurIPS 2024

• Leveraging hyperspectral remote sensing and foundation models for greenhouse monitoring

  • • Alberto Costa Nogueira Junior
    • Devyani Lambhate
    • et al.
  • 2024
  • KDD 2024

• Towards Foundation Models for the Industrial Forecasting of Chemical Kinetics

  • • Imran Nasim
    • Joao Lucas de Sousa Almeida
  • 2024
  • CAI 2024

• Using Neural Implicit Flow to represent latent dynamics of canonical systems

  • • Imran Nasim
    • Joao Lucas de Sousa Almeida
  • 2024
  • SCML 2024

• High-Resolution WRF Wind Field Dataset for GHG Applications: Navigating Computational Challenges in Energy Research

  • • Karthik Mukkavilli
    • W. Trojak
    • et al.
  • 2023
  • AGU Fall 2023

• Towards operational methane emission detection from oil and gas facilities through multi-modal sensing and advanced dispersion and atmospheric modeling

  • • Arash Fathi
    • Joao Lucas de Sousa Almeida
    • et al.
  • 2023
  • AGU Fall 2023

• A coupled Variational Encoder-Decoder - DeepONet surrogate model for the Rayleigh-Bénard convection problem

  • • Joao Lucas de Sousa Almeida
    • Pedro Rocha
    • et al.
  • 2023
  • AAAI 2023

• Data-Driven Reduced-Order Model for Atmospheric CO2 Dispersion

  • • Pedro Rocha
    • Marcos Sebastião De Paula Gomes
    • et al.
  • 2022
  • AAAI-FS 2022

• Non-intrusive operator inference for chaotic systems

  • • Joao Lucas de Sousa Almeida
    • Arthur Cancelieri Pires
    • et al.
  • 2022
  • IEEE Transactions on Artificial Intelligence

• Reservoir computing in reduced order modeling for chaotic dynamical systems

  • • Alberto Costa Nogueira Junior
    • Felipe De Castro Teixeira Carvalho
    • et al.
  • 2021
  • ISC 2021