Affinity Workshop
LatinX in AI
Abraham Ramos · Laura Montoya · Ana Maria Quintero-Ossa
West Meeting Room 118-120
The LatinX in AI (LXAI) Workshop will be co-located with ICML 2024, bringing together Latinx researchers, practitioners, and enthusiasts in machine learning to foster collaboration, mentorship, and knowledge exchange.
The LXAI Workshop will feature invited speakers, contributed talks, and poster presentations, highlighting cutting-edge research conducted by Latinx individuals in academia and industry. Additionally, a mentorship session will provide participants with valuable insights into career development, research trends, and pathways for increased Latinx representation in AI.
This event aims to create a welcoming and inclusive environment where Latinx researchers at all career stages can connect, share ideas, and inspire future generations. We strongly encourage participation from underrepresented minorities and allies who support diversity in machine learning and AI.
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Schedule
Mon 9:30 a.m. - 10:00 a.m.
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Opening Remarks
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Opening remarks
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Mon 10:00 a.m. - 10:45 a.m.
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Oral presentation: Block 1
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Oral presenters
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Mon 10:45 a.m. - 11:30 a.m.
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Felipe Leno da Silva: Deep Symbolic Optimization - Reinforcement Learning-based discrete optimization for scientific discovery, Antibody Optimization, and beyond.
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Keynote 1
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Leno da Silva 🔗 |
Mon 11:30 a.m. - 12:30 p.m.
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Google Platinum Presentations
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Panel
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Mon 12:30 p.m. - 1:30 p.m.
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Lunch break
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Lunch break
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Mon 1:30 p.m. - 2:15 p.m.
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Oral presentation: Block 2
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Oral presenters
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Mon 2:15 p.m. - 3:00 p.m.
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Microsoft AI for Good Lab: AI for Biodiversity Monitoring and Conservation
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Keynote 2
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Daniela Ruiz · Andres Hernandez · Isai Daniel Chacón 🔗 |
Mon 3:00 p.m. - 3:45 p.m.
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Mentoring Hour
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Mentoring panel
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Mon 4:00 p.m. - 4:30 p.m.
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Coffee break
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Mon 4:30 p.m. - 5:15 p.m.
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Amaya Gallagher-Syed: From Buenos Aires to London: how broad scientific foundations shaped my AI research in an age of increasing specialisation
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Keynote 3
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Amaya Gallagher-Syed 🔗 |
Mon 5:15 p.m. - 5:30 p.m.
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Closing remarks
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Closing remarks
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Automatic Recognition and Counting of Fire Blight Bacterial Disease in Apple Orchards using YOLO11 ( Poster ) > link | Victor Noel Madrid Castillo · Fernando Matute Soto · Jesús Cabello · Alfonso Gomez-Espinosa · Jose Antonio Cantoral-Ceballos 🔗 |
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Validating Deep Models for Alzheimer’s 18F-FDG PET Diagnosis Across Populations: A Study with Latin American Data ( Poster ) > link | Hugo Massaroli · Mauricio Farez · Hernan Chaves · Emmanuel Iarussi · Viviana Siless 🔗 |
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Bridging the Gap in Clinical AI: Zero-Shot Multimodal ECG Analysis with Textual Explanations ( Poster ) > link | Luiz Facury de Souza · Jose Fernandes · Pedro Dutenhefner · Turi Rezende · Gisele Pappa · Gabriela Paixão · Antonio Ribeiro · Wagner Jr. 🔗 |
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The impact of on-policy parallelized data collection on network plasticity in deep reinforcement learning ( Poster ) > link | Walter Mayor · Johan Obando-Ceron · Aaron Courville · Pablo Samuel Castro 🔗 |
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Advancing Equitable AI: Evaluating Cultural Expressiveness in LLMs for Latin American Contexts ( Poster ) > link | Brigitte Mora Reyes · Jennifer Drewyor 🔗 |
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Breaking Barriers in Hard Samples: Guiding the Generation of Synthetic Data for Medical Tasks with Data-centric Approach ( Poster ) > link | Maynara de Souza · Cleber Zanchettin 🔗 |
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Offline Language-Based Support System for Tactical Decision-Making in Air Combat Operations ( Poster ) > link | Joao Dantas 🔗 |
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Integrating ViT-Derived Visual Semantics into Credit Scoring Models for Informal Businesses in Latin America ( Poster ) > link | Alejandro Mildiner · Michael Moreno · Viviana Siless 🔗 |
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A novel autoencoder-based two-stage framework for single-channel fetal ECG extraction ( Poster ) > link | Joaquín H. Monti · Gastón Schlotthauer · Marcelo Colominas 🔗 |
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A Transparent Fairness Evaluation Protocol for Open-Source Language Model Benchmarking on the Blockchain ( Poster ) > link | Hugo Massaroli · Leonardo Iara · Emmanuel Iarussi · Viviana Siless 🔗 |
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Dynamic Adapter Routing in Continual Learning of Language Models ( Poster ) > link | Vladimir Araujo · Marie-Francine Moens · Tinne Tuytelaars 🔗 |
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Automatic Anxiety Screening in Pregnant Women from Naturalistic Conversational Speech ( Poster ) > link | Paula Leandra Loeblein Pinto · Gustavo Silva · Rafael Sousa 🔗 |
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Towards Multi-modal Linear Embeddings based on Attention for Video Analysis ( Poster ) > link | Itzel Tlelo-Coyotecatl · Hugo Jair Escalante 🔗 |
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Evaluation of Machine Learning regression techniques for analyzing Contaminated Soils ( Poster ) > link | Rosa Encinas · Felipe Almeida 🔗 |
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SlumMapVisionBR: A Dataset for Mapping Slums with Medium-Resolution Satellite Imagery ( Poster ) > link | Agatha Mattos · Gavin McArdle · Michela Bertolotto 🔗 |
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Multimodal Deep Learning for Disaster Classification from Social Media Data in Brazil and Peru ( Poster ) > link | Mariana Risco Cosavalente · Claudio Jung · Sharon C Quispe 🔗 |
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Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts ( Poster ) > link | Mateo Espinosa Zarlenga · Gabriele Dominici · Pietro Barbiero · Zohreh Shams · Mateja Jamnik 🔗 |
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MassFlow: R3D Flow-Guided Mass Estimation Model ( Poster ) > link | Angie Sanchez Marquina · Fidel Omar Tito Cruz · Juan Ochoa 🔗 |