Javier Viaña

22 papers Journal 8Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Machine-Learning Compositional Study of Exoplanetary Material Accreted Onto Five Helium-Atmosphere White Dwarfs with cecilia.
CoRR
Mariona Badenas-Agusti, Siyi Xu, Andrew Vanderburg, Kishalay De, Patrick Dufour, Laura K. Rogers, Susana Hoyos, Simon Blouin, Javier Viaña, Amy Bonsor, Ben Zuckerman
2025 J jnl
LensNet: Enhancing Real-time Microlensing Event Discovery with Recurrent Neural Networks in the Korea Microlensing Telescope Network.
CoRR
Javier Viaña, Kyu-Ha Hwang, Zoë L. de Beurs, Jennifer C. Yee, Andrew Vanderburg, Michael D. Albrow, Sun-Ju Chung, Andrew Gould, Cheongho Han, Youn Kil Jung, Yoon-Hyun Ryu, In-Gu Shin, Yossi Shvartzvald, Hongjing Yang, Weicheng Zang, Sang-Mok Cha, Dong-Jin Kim, Seung-Lee Kim, Chung-Uk Lee, Dong-Joo Lee, Yongseok Lee, Byeong-Gon Park, Richard W. Pogge
2025 J jnl
The Wafold: Curvature-Driven Termination and Dimensional Compression in Black Holes.
Entropy
Javier Viaña
2024 J jnl
Front-propagation Algorithm: Explainable AI Technique for Extracting Linear Function Approximations from Neural Networks.
CoRR
Javier Viaña
2024 J jnl
cecilia: A Machine Learning-Based Pipeline for Measuring Metal Abundances of Helium-rich Polluted White Dwarfs.
CoRR
Mariona Badenas-Agusti, Javier Viaña, Andrew Vanderburg, Simon Blouin, Patrick Dufour, Siyi Xu, Siyi Sha
2023 — ch.
Extension to Multidimensional Problems of a Fuzzy-Based Explainable and Noise-Resilient Algorithm.
Decision Making Under Uncertainty and Constraints
Javier Viaña, Stephan Ralescu, Kelly Cohen, Anca L. Ralescu, Vladik Kreinovich
2023 — conf
Forcing the Network to Use Human Explanations in Its Inference Process.
NAFIPS
Javier Viaña, Andrew Vanderburg
2023 — conf
Review of a Fuzzy Logic Based Airport Passenger Flow Prediction System.
NAFIPS
Javier Viaña, Kelly Cohen, Stephen Saunders, Naashom Marx, Brian Cobb, Hannah Meredith, Madison Bourbon
2023 — conf
Simulation-Based Inference for Exoplanet Atmospheric Retrieval: Insights from Winning the Ariel Data Challenge 2023 Using Normalizing Flows.
PKDD/ECML Workshops (5)
Mayeul Aubin, Carolina Cuesta-Lázaro, Ethan Tregidga, Javier Viaña, Cecilia Garraffo, Iouli E. Gordon, Mercedes López-Morales, Robert J. Hargreaves, Vladimir Yu. Makhnev, Jeremy J. Drake, Douglas P. Finkbeiner, Phillip Cargile
2023 J jnl
Simulation-based Inference for Exoplanet Atmospheric Retrieval: Insights from winning the Ariel Data Challenge 2023 using Normalizing Flows.
CoRR
Mayeul Aubin, Carolina Cuesta-Lázaro, Ethan Tregidga, Javier Viaña, Cecilia Garraffo, Iouli E. Gordon, Mercedes López-Morales, Robert J. Hargreaves, Vladimir Yu. Makhnev, Jeremy J. Drake, Douglas P. Finkbeiner, Phillip Cargile
2022 — conf
Initialization and Plasticity of CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm.
NAFIPS
Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen
2022 — conf
Multiple Hidden Layered CEFYDRA: Cluster-First Explainable Fuzzy-Based Deep Self-reorganizing Algorithm.
NAFIPS
Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen
2022 — conf
Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm.
NAFIPS
Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen
2022 J jnl
Why Cauchy Membership Functions: Reliability.
Adv. Artif. Intell. Mach. Learn.
Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu
2022 — conf
Why Sine Membership Functions.
NAFIPS
Sofia Holguin, Javier Viaña, Kelly Cohen, Anca L. Ralescu, Vladik Kreinovich
2021 — conf
Evaluation Criteria for Noise Resilience in Regression Algorithms.
NAFIPS
Javier Viaña, Kelly Cohen
2021 — conf
Fuzzy-Based, Noise-Resilient, Explainable Algorithm for Regression.
NAFIPS
Javier Viaña, Kelly Cohen
2021 — conf
Predicting Diabetes Diagnosis with Binary-To-Fuzzy Extrapolations and Weights Tuned via Genetic Algorithm.
NAFIPS
Katherine L. O'Grady, Javier Viaña, Kelly Cohen
2021 J jnl
Why Cauchy Membership Functions: Efficiency.
Adv. Artif. Intell. Mach. Learn.
Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu
2020 — conf
ExTree - Explainable Genetic Feature Coupling Tree Using Fuzzy Mapping for Dimensionality Reduction with Application to NACA 0012 Airfoils Self-Noise Data Set.
NAFIPS
Javier Viaña, Kelly Cohen
2020 — conf
Fast Training Algorithm for Genetic Fuzzy Controllers and Application to an Inverted Pendulum with Free Cart.
NAFIPS
Javier Viaña, Kelly Cohen
2019 — conf
Fault Tolerance Tool for Human and Machine Interaction & Application to Civilian Aircraft.
LA-CCI
Javier Viaña, Kelly Cohen