Speakers

Keynote - Dealing with Bias in Machine Learning Algorithms

Omar U. Florez

Senior Research Manager, Capital One

Generating videos by traversing image manifolds learned by GANs

Isabela Albuquerque

PhD Student at Université du Québec

Singing Voice Detection using VGGish Embeddings

Shayenne da Luz Moura

MSc, University of São Paulo

Non Synergistic VAE

Gonzalo Barrientos

MSc. Student, UCL

Towards AutoML in the presence of Drift

Jorge Gustavo Madrid Perez

MSc Student, INAOE

Real Non-Volume Preserving Voice Conversion

Santiago Pascual

Ph.D. Candidate, TALP-UPC

Adversarial Attacks on Variational Autoencoders

Pedro Tabacof

Ph.D. Student, University of Campinas

Topological Data Analysis to identify subgroups of type-2 Diabetes Mellitus

Juan Ramon Vallarta Robledo

Health Data Scientist, ITESO

TAct - Optimal search through activation function space

Mario Banuelos

Assistant Professor, California State University, Fresno

Dopamine - A framework for flexible Reinforcement Learning research

Pablo Samuel Castro

Senior Research Engineer, Google Brain

Model Cards for Reporting Model Performance

Andrew Zaldivar, Ph.D.

Developer Advocate, Google AI

Conditionally Interpretable Super Learner

Yannet Interian, PhD

Associate Professor, USF

Posters

  • Hugo Jair Escalante Balderas, Associate professor, INAOE
  • Fernando Alonso Delgado, PhD Student, Cornell University
  • Alejandra Márquez Herrera, MSc Student, San Pablo University(Arequipa-Perú)
  • Leonardo Cayo Leon Vera, Student, Universidad Nacional de Ingenieria
  • Paula Kintschev Santana de Moraes, MSc, University of São Paulo
  • Leissi Margarita Castaneda Leon, PhD student, University of Sao Paulo
  • Albert Manuel Orozco Camacho, BSc Student, UNAM
  • Diana Mabel Diaz Herrera, PhD Candidate, Wayne State University
  • Jorge Ortiz, Ph.D., Assistant Professor, Rutgers University
  • Pablo Fonseca, Visiting Researcher, MILA
  • Francisco Cruz, Universidad Central de Chile
  • Nils Murrugarra-Llerena, PhD Student, University of Pittsburgh
  • Mariano Phielipp. PhD., Senior Deep Learning Data Scientist at Intel AI Labs
  • Javier Andrés Orduz Ducuara, Professor at UNAM
  • Wilbert Santos Pumacay Huallpa, Msc. Student
  • Diana Silvia Patiño Polar, Student, Universidad Católica San Pablo – Arequipa
  • Ximena Gutierrez-Vasques, PhD, UNAM
  • Andres Campero, PhD Student, MIT
  • Karol Baca-Lopez, PhD Student at Autonomous University of the State of Mexico
  • Marcell Llerena Paricahua, Student, Universidad Católica San Pablo – Arequipa
  • Dehua Chen, Msc, Federal University of Minas Gerais
  • José Luis Olivares Castillo, Student, UNAM
  • Rel Guzman Apaza, Research Assistant, Universidad Nacional de San Agustin
  • Romer Rosales, Director of Artificial Intelligence, LinkedIn
  • David Camilo Alvarez Charris, MSc, University of Edinburgh
  • Lisette Elizabeth Espín Noboa, PhD. Student at GESIS and University of Koblenz-Landau
  • Pablo Francisco Hernandez Leal, Researcher, Borealis AI
  • Verónica Vilaplana, Associate Professor, Technical University of Catalonia
  • Héctor Ricardo Murrieta Bello, Computational Engineering, Universidad Nacional Autónoma de México
  • Alfredo Alejandro De la Fuente Briceño, MSc, Skolkovo Institute of Science and Technology
  • Kevin Christian Rodríguez-Siu, Research and Teaching Assistant at Universidad Católica San Pablo in Arequipa-Perú
  • Sergio Martin del Campo Barraza, Ph.D., Post-doc, Luleå University of Technology, Sweden
  • Francisco Xavier Sumba Toral, Student, Concordia University
  • Luis A. Lastras, Principal Research Staff Member, IBM TJ Watson Research

The LXAI Workshop at NIPS is only one of the many research and engineering programs our organization is hosting. Please visit our main page to learn more about Latinx in AI initiatives around the world.