Affinity Workshop
LatinX in AI (LXAI) LXAI Research Workshop
Maria Luisa Santiago · Juan Miguel Gutierrez Vidal · Fanny Nina Paravecino · CJ Barberan · Julio Hurtado · Andres Marquez · Jose M. Saavedra · Javier A Orduz · Wayner Barrios · Ramesh Doddaiah
Ballroom 3 & 4
The LatinX in AI research workshop is a one-day event with invited speakers, oral presentations, and research 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.We strongly encourage students, postdocs, and researchers who primarily identify as Latinx in all areas of machine learning to submit an abstract describing new, previously, or concurrently published research. We welcome abstract submissions, in theory, methodology, as well as applications. Abstracts may describe completed research or work-in-progress. While the presenting author need not be the first author of the work, we encourage authors to highlight the contribution of Latinx individuals — particularly the presenting author — in the abstract. The LatinX authors of accepted abstracts will be asked to present their work in a poster session. A few authors will be selected to give 15-minute oral presentations. Authors accepted to present will be offered presentation coaching. Submissions will be peer-reviewed. The authors are encouraged to sign up to review as part of the program committee for LXAI as well.
Schedule
Mon 5:00 a.m. - 5:20 a.m.
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Check-in
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Check-in
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Mon 5:20 a.m. - 5:30 a.m.
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Opening Remarks
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Opening
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SlidesLive Video |
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Mon 5:30 a.m. - 6:00 a.m.
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Neuroscience & AI: Towards Bio-Inspired Artificial Agents
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Keynote
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SlidesLive Video |
Maria-Jose Escobar 🔗 |
Mon 6:00 a.m. - 6:10 a.m.
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Q&A for Maria-Jose Escobar
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Q&A
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Mon 6:10 a.m. - 6:20 a.m.
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An Introduction to Quantum Natural Language Processing and a Study Case
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Talk
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SlidesLive Video |
Shubhangi Rastogi 🔗 |
Mon 6:20 a.m. - 6:30 a.m.
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Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations
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Talk
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SlidesLive Video |
Pablo Rivas 🔗 |
Mon 6:30 a.m. - 6:40 a.m.
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Classifier Guided Diffusion for Image Inpainting: Applications to Fine Art
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Talk
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SlidesLive Video |
Lucia Cipolina Kun 🔗 |
Mon 6:40 a.m. - 6:50 a.m.
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A Model-Based Filter to Improve Local Differential Privacy
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Talk
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SlidesLive Video |
Juan Miguel Gutierrez Vidal 🔗 |
Mon 6:50 a.m. - 6:55 a.m.
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Q&A
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Q&A
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SlidesLive Video |
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Mon 6:55 a.m. - 7:15 a.m.
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Break
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Mon 7:15 a.m. - 7:45 a.m.
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On the Decision Support Systems Based on AI for Highly Complex Applications: Health & Defense
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Keynote
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SlidesLive Video |
O. L. Quintero Montoya 🔗 |
Mon 7:45 a.m. - 7:55 a.m.
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Q&A for Olga Lucia
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Q&A
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Mon 7:55 a.m. - 8:05 a.m.
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A Study on the Predictability of Sample Learning Consistency
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Talk
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SlidesLive Video |
Alain Raymond 🔗 |
Mon 8:05 a.m. - 8:15 a.m.
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Link Prediction from Heterogeneous Opinion Mining Networks with Multi-Domain Applications
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Talk
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SlidesLive Video |
Bernardo Marques Costa · Ricardo Marcondes Marcacini 🔗 |
Mon 8:15 a.m. - 8:25 a.m.
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Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis
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Talk
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SlidesLive Video |
Guilherme Lourenço de Toledo · Ricardo Marcondes Marcacini 🔗 |
Mon 8:25 a.m. - 8:30 a.m.
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Q&A
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Q&A
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SlidesLive Video |
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Mon 8:30 a.m. - 9:30 a.m.
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Sponsor Booth Visit
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Panel
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Mon 9:30 a.m. - 10:30 a.m.
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Lunch
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Lunch
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Mon 10:30 a.m. - 11:00 a.m.
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Speech Recognition & Synthesis for Language in Low Data Regimes: Learning from Few Speakers using Multilingual Models
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Keynote
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SlidesLive Video |
Moacir Ponti 🔗 |
Mon 11:00 a.m. - 11:10 a.m.
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Q&A for Moacir
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Q&A
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Mon 11:10 a.m. - 11:50 a.m.
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Graduate School Fellowship Professional Tips
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Spotlight Talk
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SlidesLive Video |
CJ Barberan 🔗 |
Mon 11:50 a.m. - 11:55 a.m.
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Q&A for CJ
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Q&A
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Mon 11:55 a.m. - 12:15 p.m.
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Afternoon Break
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Mon 12:15 p.m. - 12:45 p.m.
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Three Frontiers of Responsible Machine Learning
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Keynote
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SlidesLive Video |
Maria De-Arteaga 🔗 |
Mon 12:45 p.m. - 12:50 p.m.
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Q&A for Maria
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Q&A
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Mon 12:50 p.m. - 1:25 p.m.
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Patent Process
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Spotlight Talk
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SlidesLive Video |
Ramesh Doddaiah 🔗 |
Mon 1:25 p.m. - 1:30 p.m.
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Q&A for Ramesh
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Q&A
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Mon 1:30 p.m. - 2:00 p.m.
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Poster Session
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Posters
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Mon 2:00 p.m. - 3:00 p.m.
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Mentoring Session
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Session
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SlidesLive Video |
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Mon 3:00 p.m. - 3:30 p.m.
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Closing Remarks
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Closing
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Mon 3:30 p.m. - 5:00 p.m.
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Social Event
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Social
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