Extended Abstracts

Oral Presentations

ID

Paper Title

Author Names

PDF

Poster

Citation

1 1-Path-Norm Regularization of Deep Neural Networks
Deep Learning Optimization Oral
Fabian Latorre, Antoine Bonnet, Paul Rolland, Nadav Hallak, Volkan Cevher

Latorre, F. et al., (2023). 1-Path-Norm Regularization of Deep Neural Networks [Oral Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Fabian_Latorre.pdf
2 Evaluating the impact of incorporating 'legalese' definitions and abstractive summarization on the categorization of legal cases by their holdings
Deep Learning Applications Oral
Shiu Tin Ivan Ko, Daniela Virginia Cortes Bermudez, Henry Han, Huiyun Zhang

Cortes Bermudez, D. V. et al., (2023). Evaluating the impact of incorporating 'legalese' definitions and abstractive summarization on the categorization of legal cases by their holdings [Oral Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307238
3 Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification
Deep Learning Generative Models Oral
Vinicius Luiz Santos Silva, Claire E Heaney, Christopher Charles Pain

Santos Silva, V. L. et al., (2023). Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification [Oral Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Vinicius_Santos.pdf
5 Omega: Optimistic EMA Gradients
Optimization Learning Theory Oral
Juan Ramirez, Rohan Sukumaran, Quentin Bertrand, Gauthier Gidel

Ramirez, J. et al., (2023). Omega: Optimistic EMA Gradients [Oral Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Juan_Ramirez.pdf

Poster Presentations

ID

Paper Title

Author Names

PDF

Poster

Citation

4 Gabor Filters as Initializers for Convolutional Neural Networks: A Study on Inductive Bias and Performance on Image Classification
General Machine Learning Deep Learning Poster
Pablo Rivas, Mehang Rai

Rivas, P. et al., (2023). Gabor Filters as Initializers for Convolutional Neural Networks: A Study on Inductive Bias and Performance on Image Classification [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Pablo_Rivas.pdf
7 Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data
Trustworthy Machine Learning Applications Poster
Mariela De Lucas Alvarez, Jichen Guo, Raul Dominguez, Matias Valdenegro-Toro

Alvarez, M. et al., (2023). Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Mariela_Alvarez.pdf
9 Convolutional neural network regression for estimating physical parameters of astrophysical binary black hole systems
Applications Deep Learning Poster
Andres Benjamin Antelis Moreno, Claudia Moreno

Antelis Moreno, A. B. et al., (2023). Convolutional neural network regression for estimating physical parameters of astrophysical binary black hole systems [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307236
10 An Empirical Analysis Towards Replacing Vocabulary-Rigid Embeddings by a Vocabulary-Free Mechanism
General Machine Learning Deep Learning Poster
Alejandro Rodriguez Perez, Korn Sooksatra, Pablo Rivas, Ernesto Quevedo Caballero, Javier S. Turek, Gisela Bichler, Tomas Cerny, Laurie Giddens, Stacie Petter

Rodriguez Perez, A. et al., (2023). An Empirical Analysis Towards Replacing Vocabulary-Rigid Embeddings by a Vocabulary-Free Mechanism [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307237
11 Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy using Unsupervised Machine Learning
Applications General Machine Learning Poster
Miguel Cozar, Carlos Munoz Losa, Kai Shu

Cozar, M. et al., (2023). Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy using Unsupervised Machine Learning [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307231
12 Studying Generalization on Memory-Based Methods in Continual Learning
Learning Theory General Machine Learning Poster
Felipe del Rio, Julio Hurtado, Cristian Buc Calderon, Alvaro Soto, Vincenzo Lomonaco

Hurtado, J. et al., (2023). Studying Generalization on Memory-Based Methods in Continual Learning [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Julio_Hurtado.pdf
13 Quadtree features for machine learning on CMDs
Applications General Machine Learning Poster
Jose Schiappacasse, Sara Lucatello, Mario Pasquato

Schiappacasse, J. et al., (2023). Quadtree features for machine learning on CMDs [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Jose_Schiappacasse.pdf
14 Is ReLU Adversarially Robust?
Deep Learning Trustworthy Machine Learning Poster
Korn Sooksatra, Greg Hamerly, Pablo Rivas

Sooksatra, K. et al., (2023). Is ReLU Adversarially Robust? [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307232
15 Recognition of grammatical classes of imagined speech words using a convolutional neural network and brain signals
Applications Deep Learning Poster
Denise Alonso-Vázquez, Tonatiuh Hernández-Del-Toro, Omar Mendoza-Montoya, Ricardo Caraza, Hector R Martinez, Carlos Alberto Reyes-Garcia, Javier M. Antelis

Alonso-Vázquez, D. et al., (2023). Recognition of grammatical classes of imagined speech words using a convolutional neural network and brain signals [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307233
16 An Agent-Search Strategy for Contrast Enhancement in Medical Images
Applications Trustworthy Machine Learning Poster
Nayeli Areli Perez Padilla

Perez Padilla, N. A. et al., (2023). An Agent-Search Strategy for Contrast Enhancement in Medical Images [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Nayeli_Perez.pdf
17 Machine learning over the free-parameters of the Black-Scholes equation: Stock market and Option market
General Machine Learning Trustworthy Machine Learning Poster
Jorge Mario Arraut, Ivan Arraut, Ka I Lei

Arraut, J. M. et al., (2023). Machine learning over the free-parameters of the Black-Scholes equation: Stock market and Option market [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307234
18 Expanded Convolutional Network for Tabular Data
General Machine Learning Deep Learning Poster
Edson Francisco Luque

Luque, E. F., (2023). Expanded Convolutional Network for Tabular Data [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Edson_Luque.pdf
19 The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study.
Deep Learning Applications Poster
Abel Reyes-Angulo, Paheding Sidike

Reyes-Angulo, A. et al., (2023). The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://doi.org/10.52591/lxai202307235
6 Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese
Applications Trustworthy Machine Learning Poster
Maria Carolina Penteado, Fábio Perez

Penteado, M. C. et al., (2023). Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Maria_Penteado.pdf
8 Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection
General Machine Learning Learning Theory Poster
Vitória Barin-Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent

Barin-Pacela, V., (2023). Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection [Poster Presentation]. Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop 2023, Honolulu, Hawaii. https://research.latinxinai.org/papers/icml/2023/pdf/Vitoria_Barin-Pacela.pdf

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