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
Title | Author | Affiliation |
---|---|---|
Quantune: An Automatic Music Generation Using Quantum Computing | Md Shahidur Rahaman, Agm Islam, Javier Orduz | TBA |
Predicting Bacterial Antibiotic Resistance using MALDI-TOF Mass Spectrometry Databases with ELM Applications | Xaviera Lopez Cortes | TBA |
Non-Uniform Parameter-Wise Model Merging | Albert 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 Learning | Josue 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 Instances | Martina 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 Formulation | Matias Valdenegro-Toro, Ivo Pascal de Jong, Marco Zullich | TBA |
A novel NLP task and generative AI application to understand collective leadership from board text data | D Valdes, Robert Procter, Gabriele Pergola | TBA |
EEG-based discrimination of nociceptive pain generated by laser stimulation | Rogelio Sotero Reyes-Galaviz, Luis Villaseñor-Pineda | TBA |
Domain adaptation for contrast-agnostic CT volumetric kidney segmentation | Ramon L Correa, Sam Fathizadeh, Fatima Al Khafaji, Haidar Abdul-Muhsin, Bhavik N. Patel, Imon Banerjee | TBA |
When weighted sum perform well on multi-task learning | María Carmen Aguirre-Delgado, Gibran Fuentes-Pineda, Carlos Ignacio Hernández-Castellanos | TBA |
Towards Understanding Why Group Robustness Methods Work | Alain Raymond, Nico Alvarado, Julio Hurtado, Alvaro Soto, Vincenzo Lomonaco | TBA |
SwiftFaceFormer: An Efficient and Lightweight Hybrid Architecture for Accurate Face Recognition Applications | Luis S. Luevano, Yoanna Martínez-Díaz, Heydi Mendez-Vazquez, Migue Gonzalez-Mendoza, Davide Frey | TBA |
Modeling Dynamic Social Vision Highlights Gaps Between Deep Learning and Humans | Kathy Garcia, Emalie McMahon, Colin Conwell, Michael Bonner, Leyla Isik | TBA |
Limitations of Joint and Dual Nonlinear Kalman Estimators in Low-Cost Bioprocess Monitoring | Cristovão Iglesias Jr, Luis Eduardo Macedo Paes Barreto Pessoa, Claudio Miceli de Farias | TBA |
Towards Learning Activity Cliff-Aware Molecular Representations | César Miguel Valdez Córdova | TBA |
Machine Learning Assisted Hybrid Genetic Algorithm Applied to the Knapsack Problem with Forfeits | Gabriel Souto, Luidi Simonetti, Claudio Miceli de Farias, Pedro Henrique Gonzalez | TBA |
Changepoint Detection in Highly-Atributed Dynamic Graphs | Emiliano Penaloza, Nathaniel Stevens | TBA |
Self-Supervised Learning for Identifying Maintenance Defects in Sewer Footage | Daniel Otero Gomez, Rafael Mateus | TBA |
Fast-forward FARGO : Accelerating Protoplanetary Disk Simulations with Limited Data | Valentina Tardugno Poleo | TBA |
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation | Alvaro Labarca, Denis Parra, Rodrigo Toro Icarte | TBA |
ANNUAL SPONSORS
PLATINUM
BRONZE
WORKSHOP SPONSORS
COBALT
ZINC
ORGANIZERS
Workshop Chairs
Operations & Logistics - Ana María Quintero & Edwin Puertas.
Presentation - Francisco Lopez-Tiro & Juan Miguel Gutierrez Vidal.
Mentorship - Brayan Ortiz & Mateo Espinosa Zarlenga.
Program Committee - Claudio Miceli de Farias & Jose Antonio Cantoral Ceballos.
Social Chair - Aina Tersol Montserrat & Rogelio Sotero Reyes Galaviz.
Public Relations & Website - Luisa Fernanda Roa Ballen, walter mayor toro, & Yaro Celis.
Sponsor & Finance - Omar Orqueda, Juan Guillermo León Cagüeñas, & Hector Manuel Morales Fajardo.
Volunteer - Daniela Cortes Bermudez.
Visa - Juan Ramirez.