LatinX in AI (LXAI) Research at ICML 2023

This is an official workshop on July 24th, 2023 of the LatinX in AI (LXAI) organization at ICML, which will be held in Hawaii Convention Center, Honolulu, Hawaii, Jul 23rd - 29th, 2023.

REGISTRATION

PARTICIPATION

The workshop is a one-day event with invited speakers, oral presentations, 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. While all presenters will identify primarily as latinx, all are invited to attend.

If you have any questions feel free to contact the workshop chairs at lxai-icml-chairs-2023@latinxinai.org.

Local Time Event
08:45 - 09:00 Check-in
09:00 - 09:05 Opening Remarks
09:05 - 09:45 Keynote 1 – Saiph Savage
The Future of A.I. for the Future of Work
09:45 - 10:45 Mentorship Panel
10:45 - 10:55 Coffee Break
10:55 - 11:10 David Alvarez Melis: Everything you always wanted to know about applying to ML/AI Ph.D. programs but were afraid to ask
11:10 - 11:40 Oral Presentations 1
  • Fabian Latorre: 1-Path-Norm Regularization of Deep Neural Networks
  • Daniela Cortes: Evaluating the impact of incorporating 'legalese' definitions and abstractive summarization on the categorization of legal cases by their holdings
11:40 - 12:20 Keynote 2 – Ruben Villegas
Visual Storytelling with Generative Models of Video
12:20 - 13:15 Lunch Break
Local Time Event
13:15 - 13:55 Keynote 3 – Monica Ribero
RényiTester, a Variational Approach to Testing Differential Privacy
13:55 - 14:40 Platinum Sponsor Panel
with Ulysses Rocha, Kavya Srinet, Shagun Sodhani and Yao Qin
14:40 - 15:10 Oral Presentations 2
  • Vinicius Luiz Santo Silva: Generative network-based reduced-order model for prediction, data assimilation, and uncertainty quantification
  • Juan Ramirez: Omega: Optimistic EMA Gradients
15:10 - 15:20 Coffee Break
15:20 - 16:00 Keynote 4 – Pablo Samuel Castro
RLing in the Deep
16:00 - 16:15 Ramesh Doddaiah: Patent Process
16:15 - 16:50 Poster Session
16:50 - 17:00 Closing Remarks

Download the full schedule here

Important Dates

  • Call for Keynotes Suggestions - Deadline April 10th

  • Early Call for Papers - April 28th, 2023

  • Call for Papers - May 26th, 2023

  • Expo - Sun Jul 23rd

  • Virtual Pass - Sun Jul 23rd through Sat 29th

  • LXAI Workshop - Mon Jul 24th

  • LXAI Social - Tue Jul 25th

  • Conference Sessions - Tue Jul 25th through Thu 27th

  • Workshops - Fri Jul 28th through Sat Jul 29th

KEYNOTE SPEAKERS

 
 
 
 
 



ACCEPTED PAPERS

 
Title Authors Affiliation Presentation Type
1-Path-Norm Regularization of Deep Neural Networks Fabián Latorre, Antoine Bonnet, Paul Rolland, Nadav Hallak, Volkan Cevher École Polytechnique Fédérale de Lausanne Oral
Evaluating the impact of incorporating 'legalese' definitions and abstractive summarization on the categorization of legal cases by their holdings Daniela Cortes, Shiu Tin Ivan Ko, Henry Han, Huiyun Zhang Baylor University Oral
Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification Vinícius Luiz Santo Silva, Claire Heaney, Christopher Pain Imperial College Oral
Omega: Optimistic EMA Gradients Juan Ramírez, Rohan Sukumaran · Quentin Bertrand, Gauthier Gidel Mila and University of Montréal Oral
Gabor Filters as Initializers for Convolutional Neural Networks: A Study on Inductive Bias and Performance on Image Classification Pablo Rivas, Mehang Rai Baylor University Poster
Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese Fabio Pérez, Maria Penteado AE Studio Poster
Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data Mariela De Lucas Álvarez, Jichen Guo, Raúl Domínguez, Matías Valdenegro Toro Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) Poster
Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection Vitória Barin Pacela, Kartik Ahuja, Simon Lacoste Julien, Pascal Vincent Université de Montréal Poster
Convolutional neural network regression (CNNR) for estimating physical parameters of astrophysical binary black hole (BBH) systems Andrés Benjamín Antelis, Claudia Moreno Tecnológico de Monterrey Poster
An Empirical Analysis Towards Replacing Vocabulary-Rigid Embeddings by a Vocabulary-Free Mechanism Alejandro Rodriguez Perez, Korn Sooksatra, Pablo Rivas, Ernesto Quevedo Caballero, Javier S. Turek, Tomas Cerny, Stacie Petter Baylor University Poster
Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy using Unsupervised Machine Learning Miguel Cozar, Carlos Muñoz Losa Baylor University Poster
Studying Generalization on Memory-Based Methods in Continual Learning Felipe del Río, Julio Hurtado, Cristian Buc Calderón, Álvaro Soto, Vincenzo Lomonaco Università di Pisa Poster
Quadtree features for machine learning on CMDs José Schiappacasse, Sara Lucatello, Mario Pasquato Università degli Studi di Padova Poster
Is ReLU Adversarially Robust? Korn Sooksatra, Pablo Rivas, Greg Hamerly Baylor University Poster
Recognition of grammatical classes of imagined speech words using a convolutional neural network and brain signals Denise Alonso Vázquez, Tonatiuh Hernández Del Toro, Omar Mendoza Montoya, Ricardo Caraza, Héctor R. Martínez, Carlos Alberto Reyes García, Javier M. Antelis Tecnológico de Monterrey Poster
An Agent-Search Strategy for Contrast Enhancement in Medical Images Nayeli Areli Pérez Padilla Universidad de Guadalajara Poster
The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. Abel Reyes-Angulo, Sidike Paheding Michigan Technological University Poster
Machine learning over the free-parameters of the Black-Scholes equation: Stock market and Option market Jorge Arraut, Iván Arraut, Ka I Lei University of Saint Joseph (Macau) Poster

ANNUAL SPONSORS

PLATINUM

 
 
 

BRONZE

 
Apple Logo
 
 
 
Two Sigma logo
 
 
 

WORKSHOP SPONSORS

COBALT

 
 
 

ZINC

 
Microsoft Logo
 

ORGANIZERS

 
 

Workshop Chairs

Operations & Logistics - José Gallego-Posada (PhD student / Visiting Researcher) (Mila/Meta), Miguel Felipe Arévalo-Castiblanco (Researcher) (Rice University)

Presentation - Ramesh Doddaiah (Worcester Polytechnic Institute), David Álvarez-Melis (Senior Researcher / Assistant Professor) (Harvard University)

Mentorship - Vinicius Fernandes Caridá (Head of Digital Platforms, Data and AI) (Itaú), Mateo Espinosa Zarlenga (PhD Candidate) (University of Cambridge)

Program Committee - Pablo Rivas (Assistant Professor of Computer Science, and Director of the Center for Standards and Ethics in AI) (Baylor University), Iván Arraut (Professor) (University of Saint Joseph), Javier E. Santos (Scientist) (Los Alamos National Laboratory)

Social Chair - Mateo Guaman Castro (Graduate Student) (Carnegie Mellon University)

Public Relations & Website - Carlos Miranda (Head of MLOps) (Buawei), Andrés F Márquez (Rivian)

Sponsor & Finance - Ana María Quintero (Data Scientist) (Neural Design), Fabián Ricardo Latorre Gomez (PhD Student) (EPFL)

Volunteer - Jaime David Acevedo-Viloria (Senior Machine Learning Scientist) (Neural Design)

Visa - Julio Hurtado (Research Associate) (University of Pisa)

 
 

Submission Instructions

We strongly encourage students, postdocs, and researchers who primarily identify as LatinX in all areas of Machine Learning to submit extended abstracts describing new or work-in-progress research. We welcome submissions in theory, methodology, and applications. Submissions will be peer-reviewed and abstracts which are selected to present will be invited to submit a camera-ready version of their full paper to be included in the Journal of LatinX in AI Research (JLXAIR). Specifically, we allow two type of submissions:

  • Archival: Must be blind for the double-blind review process. Accepted works on this category will be published in the JLXAIR as proceedings.

  • Non-archival: May be submitted to any venue in the future. Previously published work can also be submitted as non-archival, with the additional requirement to state in the first page the original publication source.

Authors of accepted abstracts will be asked to present their work in a poster session. A few authors will be selected to give oral presentations. Authors accepted to present will be offered presentation coaching. 

While the presenting author need not to be the first author of the work, authors are asked to highlight the contribution of LatinX individuals — particularly the presenting author. This information should be included at the end of the extended abstract (after references) as an unnumbered section. Furthermore, although the event focuses primarily on researchers who identify as LatinX, everyone is invited to attend. Authors are also encouraged to sign up to review for LXAI.

 

Submission Requirements

Submissions will be double-blind peer-reviewed and should be submitted as a PDF file through OpenReview. All submissions must be in English and strictly follow the guidelines provided by the ICML 2023 Paper Writing Best Practices to avoid the risk of being rejected without consideration of their merits. Each extended abstract should have up to four pages (including figures, and tables). 

At the authors' discretion, supplementary material can also be uploaded (as a separate PDF document) to OpenReview. However, the extended abstract must be self-contained, clearly stating the research problem, motivation, and technical contribution, including experimental results when applicable. Please, keep in mind that supplementary materials are not mandatory and may not be considered by reviewers. In other words, simply delegating central elements of the research to the supplementary material will not be tolerated. 

 

Early Submissions (Visa-Friendly)

Submission deadline: April 28th, 2023 (Anywhere on Earth)

Author Notification: May 12th, 2023

Camera Ready: June 12th, 2023

Regular Submissions

Submission deadline: May 26th, 2023 (Anywhere on Earth)

Author Notification: Jun 9th, 2023

Camera Ready: June 26th, 2023

 

Submissions are now closed.

 

Call for Volunteers

LatinX in AI is in need of key support for all the activities that LXAI brings to our community. Volunteers are scheduled as needed for specific roles including registration table, timekeeper, social media liaison, MC, or on-call for 2-4 hour time periods on the day of the workshop. We will require volunteers to help in the organization in the days before the workshop in roles such as advertisement design. We will give priority to registration grants for our volunteers, so we strongly recommend that you apply using the link below.

 

Volunteers applications are now closed.

 

Financial Assistance

LatinX in AI is committed to supporting LatinX & hispanic individuals from all around the world. This year since the workshop and ICML conference will be hybrid (in-person and virtual), we want to ensure that our workshop is accessible to everyone, no matter where they live. As such, we are happy to provide support for registration fees, travel expenses, and internet data grants to help those that have financial needs. If you believe you need financial assistance to cover your internet/data expenses, travel expenses, or to register to ICML, please make sure to fill out these applications as accurately and truthfully as possible.

Financial Assistance applications are now closed.

 

Mentoring Program

LatinX in AI is hosting a mentoring program alongside our official workshops. The LatinX in AI Mentoring Program requires mentors and mentees to meet once a month. On the day of the workshop, some mentees will be asked to share their experiences and the learnings they obtained from the program.

Mentoring Program Notification: April 6th (first call), April 19th (second call)

Mentoring Program End Date: TBA

Following the completion of this program, you'll be asked to complete a quick survey about your experience and opportunities for our improvement. Mentors who complete the program and survey are eligible to receive a $25 voucher as a token of appreciation on behalf of LatinX in AI.

 

Mentoring program applications are now closed.

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