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Hi there 👋 I'm Eduardo Montesuma

About Me 🤔

I am currently a PhD student @ Université Paris-Saclay/CEA-List. The subject of my thesis is on the contributions of Optimal Transport Theory for Transfer Learning, and to Machine Learning in general. My research interests are related to applied mathematics, statistics and machine learning. In the past years, I focused on Transfer Learning, Control Theory, Image Processing, Optimal Transport and Statistical Learning Theory.

How to find me

Eduardo Fernandes Montesuma's Projects

awesome-mlr icon awesome-mlr

Awesome list of papers and hot topics in Machine Learning Research

crossdomainfaultdiagnosis icon crossdomainfaultdiagnosis

Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Transport

datavis-course icon datavis-course

repo for the data visualization course taken at Universidade Federal do Ceará.

demo-dadil icon demo-dadil

Demo code for the paper "Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space", accepted as a conference paper at the 26th European Conference on Artificial Intelligence

gmm_msda icon gmm_msda

Code for the paper Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models for optimal Transport

manimstudies icon manimstudies

I am going to feed this repo with my personal scripts for studying mathematical visualization in Manim

pot icon pot

POT : Python Optimal Transport

tex2abnt icon tex2abnt

Script for converting figures and tables to UFC_ABNT format

twitter-polarization icon twitter-polarization

Source code for the final project for the CK0266 - VISUALIZAÇÃO DE DADOS course. It contains an analysis of political polarization on brazilian elections and twitter posts by political authorities.

wbtransport icon wbtransport

This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic Adaptation" at ICASSP21 and "Wasserstein Barycenter for Multi-Source Domain Adaptation" in CVPR21

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