Omar Costilla-Reyes

17 papers A* 1C 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Estimation of Total Body Fat Using Symbolic Regression and Evolutionary Algorithms. EvoApplications (2) José Manuel Muñoz, Odin Morón-García, Omar Costilla-Reyes, José Ignacio Hidalgo
2025	J	`jnl`	Estimation of total body fat using symbolic regression and evolutionary algorithms. CoRR José Manuel Muñoz, Odin Morón-García, José Ignacio Hidalgo, Omar Costilla-Reyes
2025	J	`jnl`	Predicting Treatment Response in Body Dysmorphic Disorder with Interpretable Machine Learning. CoRR Omar Costilla-Reyes, Morgan Talbot
2024	J	`jnl`	MathDSL: A Domain-Specific Language for Concise Mathematical Solutions Via Program Synthesis. CoRR Sagnik Anupam, Maddy Bowers, Omar Costilla-Reyes, Armando Solar-Lezama
2024	A*	`conf`	Symbolic Regression with a Learned Concept Library. NeurIPS Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, Miles D. Cranmer, Swarat Chaudhuri
2024	J	`jnl`	Symbolic Regression with a Learned Concept Library. CoRR Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, Miles D. Cranmer, Swarat Chaudhuri
2023	J	`jnl`	Counterfactual Explanations and Predictive Models to Enhance Clinical Decision-Making in Schizophrenia using Digital Phenotyping. CoRR Juan Sebastián Cañas, Francisco Gomez, Omar Costilla-Reyes
2023	—	`conf`	Individual Behavioral Insights in Schizophrenia: A Network Analysis and Mobile Sensing Approach. PervasiveHealth Andy Davies, Eiko Fried, Omar Costilla-Reyes, Hane Aung
2023	J	`jnl`	Individual Behavioral Insights in Schizophrenia: A Network Analysis and Mobile Sensing Approach. CoRR Andy Davies, Eiko Fried, Hane Aung, Omar Costilla-Reyes
2022	J	`jnl`	LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions. CoRR Zhening Li, Gabriel Poesia, Omar Costilla-Reyes, Noah D. Goodman, Armando Solar-Lezama
2022	J	`jnl`	Neurosymbolic Programming for Science. CoRR Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, Armando Solar-Lezama, Swarat Chaudhuri, Yisong Yue, Omar Costilla-Reyes
2019	J	`jnl`	Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Omar Costilla-Reyes, Rubén Vera-Rodríguez, Patricia Scully, Krikor B. Ozanyan
2018	J	`jnl`	Deep Neural Networks for Learning Spatio-Temporal Features From Tomography Sensors. IEEE Trans. Ind. Electron. Omar Costilla-Reyes, Patricia Scully, Krikor B. Ozanyan
2017	—	`conf`	Age-sensitive differences in single and dual walking tasks from footprint floor sensor data. IEEE SENSORS Omar Costilla-Reyes, Patricia Scully, Krikor B. Ozanyan
2017	—	`conf`	Unsupervised learning for spectral data analysis as a novel sensor for identifying rodent infestation in urban environments. IEEE SENSORS Omar Costilla-Reyes, Zachary Coldrick, Bruce Grieve
2016	—	`conf`	Spatial footstep recognition by convolutional neural networks for biometrie applications. IEEE SENSORS Omar Costilla-Reyes, Rubén Vera-Rodríguez, Patricia Scully, Krikor B. Ozanyan
2014	C	`conf`	Dynamic Wi-Fi fingerprinting indoor positioning system. IPIN Omar Costilla-Reyes, Kamesh Namuduri