LatinX in AI (LXAI) Research at ICML 2024

This is an official workshop on July 22nd, 2024 of the LatinX in AI (LXAI) organization at ICML, which will be held in Messe Wien Exhibition Congress Center, Vienna, Austria, Jul 21st - 27th, 2024.

 
 

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-2024@latinxinai.org.

Important Dates - 2024

  • Early Call for Papers - April 15th.

  • Call for Keynotes Suggestions - Deadline April 30th.

  • Call for Papers Deadline - May 17th (Extended Deadline).

  • Call for Volunteers - May 17th.

  • Travel Grant Application: June 1st - 2024

  • Call for Papers Acceptance Notification - June 10th.

  • Expo - Sun Jul 21st.

  • Virtual Pass - Mon Jul 22nd through Sat the 27th.

  • Tutorials - Mon Jul 22nd.

  • LXAI Workshop - Mon Jul 22nd.

  • LXAI Social - TBD

  • Conference Sessions - Tue Jul 23rd through Thu the 25th

  • Workshops - Fri Jul 26th through Sat the 27th


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 2024 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. 

 

Regular Submissions

Submission deadline: May 17th, 2024 (Anywhere on Earth)

Author Notification: Jun 10th, 2024

Camera Ready: TBA

 

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.

Applications closed on June 1st.

 

Visa Requirements.

If you require assistance with your visa application for entry into Austria (and the Schengen area), such as a visa letter confirming your participation in the conference and workshop, please reach out to Juan Ramirez for support.

Please be aware that visa applications typically need to be processed approximately one month prior to the trip, so we will accept requests until June 20th.

Kindly note that visa letter support is available exclusively to members of our community who identify as Latin American or Hispanic, or hold citizenship from a Latin American country.

 

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.

Applications closed on June 1st.

 

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.

Apply to become a Mentor - Apply to become a Mentee.

  • Notification of Mentoring Program Acceptance May 10th

  • Mentoring Program Begins May 13th

  • Mentoring Program Completes July 26

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.

 

KEYNOTE SPEAKERS

 

ACCEPTED PAPERS

Accepted Papers ICML 2024
Title Author Affiliation
Quantune: An Automatic Music Generation Using Quantum ComputingMd Shahidur Rahaman, Agm Islam, Javier Orduz TBA
Predicting Bacterial Antibiotic Resistance using MALDI-TOF Mass Spectrometry Databases with ELM ApplicationsXaviera Lopez CortesTBA
Non-Uniform Parameter-Wise Model MergingAlbert Manuel Orozco Camacho, Stefan Horoi, Guy Wolf, Eugene Belilovsky TBA
A Self-Interpretable Obfuscated Malware Detection System based on Memory Analysis and Self-Supervised Tabular LearningJosue Genaro Almaraz-Rivera, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero, Jesus Arturo Perez-Diaz TBA
Transformer-Based Astronomical Time Series Model with Uncertainty Estimation for Detecting Misclassified InstancesMartina Cádiz-Leyton, Guillermo Cabrera-Vives, Cristobal Donoso-Oliva, Daniel Moreno-Cartagena, Pavlos Protopapas TBA
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single FormulationMatias Valdenegro-Toro, Ivo Pascal de Jong, Marco Zullich TBA
A novel NLP task and generative AI application to understand collective leadership from board text dataD Valdes, Robert Procter, Gabriele Pergola TBA
EEG-based discrimination of nociceptive pain generated by laser stimulationRogelio Sotero Reyes-Galaviz, Luis Villaseñor-Pineda TBA
Domain adaptation for contrast-agnostic CT volumetric kidney segmentationRamon L Correa, Sam Fathizadeh, Fatima Al Khafaji, Haidar Abdul-Muhsin, Bhavik N. Patel, Imon Banerjee TBA
When weighted sum perform well on multi-task learningMaría Carmen Aguirre-Delgado, Gibran Fuentes-Pineda, Carlos Ignacio Hernández-Castellanos TBA
Towards Understanding Why Group Robustness Methods WorkAlain Raymond, Nico Alvarado, Julio Hurtado, Alvaro Soto, Vincenzo Lomonaco TBA
SwiftFaceFormer: An Efficient and Lightweight Hybrid Architecture for Accurate Face Recognition ApplicationsLuis S. Luevano, Yoanna Martínez-Díaz, Heydi Mendez-Vazquez, Migue Gonzalez-Mendoza, Davide Frey TBA
Modeling Dynamic Social Vision Highlights Gaps Between Deep Learning and HumansKathy Garcia, Emalie McMahon, Colin Conwell, Michael Bonner, Leyla Isik TBA
Limitations of Joint and Dual Nonlinear Kalman Estimators in Low-Cost Bioprocess MonitoringCristovão Iglesias Jr, Luis Eduardo Macedo Paes Barreto Pessoa, Claudio Miceli de Farias TBA
Towards Learning Activity Cliff-Aware Molecular RepresentationsCésar Miguel Valdez CórdovaTBA
Machine Learning Assisted Hybrid Genetic Algorithm Applied to the Knapsack Problem with ForfeitsGabriel Souto, Luidi Simonetti, Claudio Miceli de Farias, Pedro Henrique Gonzalez TBA
Changepoint Detection in Highly-Atributed Dynamic GraphsEmiliano Penaloza, Nathaniel Stevens TBA
Self-Supervised Learning for Identifying Maintenance Defects in Sewer FootageDaniel Otero Gomez, Rafael Mateus TBA
Fast-forward FARGO : Accelerating Protoplanetary Disk Simulations with Limited DataValentina Tardugno Poleo TBA
On the Unexpected Effectiveness of Reinforcement Learning for Sequential RecommendationAlvaro Labarca, Denis Parra, Rodrigo Toro IcarteTBA
 

ANNUAL SPONSORS

PLATINUM


BRONZE

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WORKSHOP SPONSORS


COBALT


ZINC

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