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
|
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
|
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
WORKSHOP SPONSORS
COBALT
ZINC
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.