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Affinity Workshop

LatinX in AI (LXAI) Workshop

Laura Montoya · Jose Gallego-Posada · Pablo Rivas · Vinicius Carida · Mateo Espinosa Zarlenga · Carlos Miranda · Andres Marquez · Ramesh Doddaiah · David Alvarez-Melis · Ivan Dario Arraut Guerrero · Mateo Guaman Castro · Ana Maria Quintero-Ossa · Fabian Latorre · Julio Hurtado · Jaime David Acevedo-Viloria · Miguel Felipe Arevalo-Castiblanco

2023 Affinity Workshop

Project Page

Abstract

The LatinX in AI research workshop is a one-day event with invited speakers, oralpresentations, and posters. The event brings together faculty, graduate students, research scientists, and engineers for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in artificial intelligence and machine learning, highlighting the unique challenges of LatinX identifying researchers. The workshop aims to create a platform for the work of Latinx researchers and we invite everyone to attend.

Video

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Schedule

Timezone: America/Los_Angeles

11:45 AM

Check-in

Video

12:00 PM

Opening Remarks Opening Remarks

12:05 PM

The Future of A.I. for the Future of Work Keynote by Saiph Savage

12:45 PM

Mentorship Hour Panel

Video

1:45 PM

Coffee and Networking

1:55 PM

Everything you always wanted to know about applying to ML/AI Ph.D. programs but were afraid to ask Tutorial by David Alvarez Melis

2:10 PM

1-Path-Norm Regularization of Deep Neural Networks Oral

Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher

2:25 PM

Evaluating the impact of incorporating ’legalese’ definitions and abstractive summarization on the categorization of legal cases by their holdings Oral

Shiu Tin Ivan Ko · Daniela Cortes Bermudez · Henry Han · Huiyun Zhang

Video

2:40 PM

Visual Storytelling with Generative Models of Video Keynote by Ruben Villegas

Video

3:20 PM

Lunch and Networking

Video

4:15 PM

RényiTester, a Variational Approach to Testing Differential Privacy Keynote by Monica Ribero

Video

4:55 PM

Platinum Sponsors Panel with Ulysses Rocha, Kavya Srinet, Shagun Sodhani, and Yao Qin

Video

5:40 PM

Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification Oral

Vinicius L S Silva · Claire Heaney · Christopher Pain

5:55 PM

Omega: Optimistic EMA Gradients Oral

Juan Ramirez · Rohan Sukumaran · Quentin Bertrand · Gauthier Gidel

6:10 PM

Coffee and Networking

Video

6:20 PM

RLing in the Deep Keynote by Pablo Samuel Castro

7:00 PM

Patent Process Tutorial by Ramesh Doddaiah

Video

7:15 PM

Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy using Unsupervised Machine Learning Poster

Miguel Cozar · Carlos Muñoz Losa · Kai Shu

7:15 PM

Expanded Convolutional Network for Tabular Data Poster

edson luque

7:15 PM

Machine learning over the free-parameters of the Black-Scholes equation: Stock market and Option market Poster

JORGE ARRAUT · Ivan Arraut · Ka I Lei

7:15 PM

Gabor Filters as Initializers for Convolutional Neural Networks: A Study on Inductive Bias and Performance on Image Classification Poster

Pablo Rivas · Mehang Rai

Video

7:15 PM

Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese Poster

Maria Penteado · Fabio Perez

7:15 PM

The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. Poster

Abel Reyes-Angulo · Sidike Paheding

Video

7:15 PM

Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection Poster

Vitória Barin-Pacela · Kartik Ahuja · Simon Lacoste-Julien · Pascal Vincent

7:15 PM

An Agent-Search Strategy for Contrast Enhancement in Medical Images Poster

Nayeli Areli Perez Padilla

Video

7:15 PM

Convolutional neural network regression to estimate the mass parameter of astrophysical binary black hole systems Poster

Andres Antelis · Claudia Moreno

Video

7:15 PM

Quadtree features for machine learning on CMDs Poster

Jose Schiappacasse · Sara Lucatello · Mario Pasquato

7:15 PM

Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification Poster

Vinicius L S Silva · Claire Heaney · Christopher Pain

7:15 PM

1-Path-Norm Regularization of Deep Neural Networks Poster

Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher

7:15 PM

Evaluating the impact of incorporating ’legalese’ definitions and abstractive summarization on the categorization of legal cases by their holdings Poster

Shiu Tin Ivan Ko · Daniela Cortes Bermudez · Henry Han · Huiyun Zhang

7:15 PM

An Empirical Analysis Towards Replacing Vocabulary-Rigid Embeddings by a Vocabulary-Free Mechanism Poster

Alejandro Rodriguez Perez · Korn Sooksatra · Pablo Rivas · Ernesto Quevedo Caballero · Javier Turek · Gisela Bichler · Tomas Cerny · Laurie Giddens · Stacie Petter

7:15 PM

Studying Generalization on Memory-Based Methods in Continual Learning Poster

Felipe del Rio · Julio Hurtado · Cristian Calderon · Alvaro Soto · Vincenzo Lomonaco

Video

7:15 PM

Recognition of grammatical classes of imagined speech words using a convolutional neural network and brain signals Poster

Denise Magdalena Alonso Vazquez · Tonatiuh Hernández-Del-Toro · Omar Mendoza-Montoya · Ricardo Caraza · Hector Martinez · Carlos Reyes-Garcia · Javier M. Antelis

7:15 PM

Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data Poster

Mariela De Lucas Alvarez · Jichen Guo · Raul Dominguez · Matias Valdenegro-Toro

Video

7:15 PM

Is ReLU Adversarially Robust? Poster

Korn Sooksatra · Greg Hamerly · Pablo Rivas

7:15 PM

Omega: Optimistic EMA Gradients Poster

Juan Ramirez · Rohan Sukumaran · Quentin Bertrand · Gauthier Gidel

7:50 PM

Closing Remarks Closing Remarks