Publications | Dr. Omar Costilla Reyes

#12026arXiv preprint arXiv:2609.11431

LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinician-Evaluated Case Study

Jorge López-Varela, J. Ignacio Hidalgo, José-Manuel Muñoz, Omar Costilla-Reyes, Esther Maqueda, Jesus Moreno-Fernandez, Tomás González-Vidal, J. Manuel Velasco, Oscar Garnica

Clinician-evaluated use of language models to assess symbolic-regression explanations.

Symbolic Regression Scientific Discovery Healthcare+1 more

#22026Pervasive Computing Technologies for Healthcare (Pervasive Health 2025)

Predicting Schizophrenia States with Behavioral Sensing and Network Analysis

Andy Davies, Hane Aung, Omar Costilla-Reyes

Predicting individual psychological-network measures from continuous behavioral sensing in schizophrenia research.

Mental Health Healthcare Sensors

#32026Journal of Affective Disorders

Comorbid anxiety predicts lower odds of MDD improvement in a trial of smartphone-delivered interventions

Morgan B. Talbot, Jessica M. Lipschitz, Omar Costilla-Reyes

Digital intervention outcomes in major depressive disorder with anxiety comorbidity.

Mental Health Healthcare

#42025International Conference on the Applications of Evolutionary Computation (Part of EvoStar)

Estimation of total body fat using symbolic regression and evolutionary algorithms

José-Manuel Muñoz, Odin Morón-García, Omar Costilla-Reyes, J. Ignacio Hidalgo

Symbolic body-fat estimation with inspectable equations.

Symbolic Regression Scientific Discovery Healthcare+1 more

#52025arXiv preprint arXiv:2503.10741

Predicting treatment response in body dysmorphic disorder with interpretable machine learning

Omar Costilla-Reyes, Morgan Talbot

Treatment-response prediction for body dysmorphic disorder.

Mental Health Healthcare

#62025AAAI 2025

InceptionSR: Recursive Symbolic Regression for Equation Synthesis

Edward Gu, Simon Alford, Omar Costilla-Reyes, Miles Cranmer, Kevin Ellis

Recursive equation synthesis for scientific model discovery.

Symbolic Regression Scientific Discovery Neurosymbolic AI

#72024Advances in Neural Information Processing Systems

Symbolic regression with a learned concept library

Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, Miles Cranmer, Swarat Chaudhuri

Learned concept libraries for reusable symbolic regression.

Neurosymbolic AI Symbolic Regression Scientific Discovery

#82024arXiv preprint arXiv:2409.17490

MathDSL: A Domain-Specific Language for Concise Mathematical Solutions Via Program Synthesis

Sagnik Anupam, Maddy Bowers, Omar Costilla-Reyes, Armando Solar-Lezama

Program synthesis for concise mathematical reasoning.

Program Synthesis Neurosymbolic AI Scientific Discovery

#92024Journal of Affective Disorders

Predicting response to a smartphone-based cognitive-behavioral therapy for body dysmorphic disorder

Jennifer L. Greenberg, Hilary Weingarden, Susanne S. Hoeppner, Rebecca M. Berger-Gutierrez, Dalton Klare, Ivar Snorrason, Omar Costilla-Reyes, Morgan Talbot, Katharine E. Daniel, Rachel C. Vanderkruik, Armando Solar-Lezama, Oliver Harrison, Sabine Wilhelm

Smartphone-delivered CBT response modeling for body dysmorphic disorder.

Mental Health Healthcare

#102024International Conference on Pervasive Computing Technologies for Healthcare

Individual behavioral insights in schizophrenia: A network analysis and mobile sensing approach

Andy Davies, Eiko I. Fried, Omar Costilla-Reyes, Hane Aung

Mobile sensing and network analysis for schizophrenia behavior patterns.

Mental Health Healthcare

#112023arXiv preprint arXiv:2306.03980

Counterfactual explanations and predictive models to enhance clinical decision-making in schizophrenia using digital phenotyping

Juan Sebastián Cañas, Francisco Gómez, Omar Costilla-Reyes

Counterfactual review for schizophrenia digital phenotyping models.

Mental Health Healthcare

#122022arXiv preprint arXiv:2211.08671

Lemma: Bootstrapping high-level mathematical reasoning with learned symbolic abstractions

Zhening Li, Gabriel Poesia, Omar Costilla-Reyes, Noah D. Goodman, Armando Solar-Lezama

Learned symbolic abstractions for mathematical reasoning.

Program Synthesis Neurosymbolic AI Scientific Discovery

#132022arXiv preprint arXiv:2210.05050

Neurosymbolic programming for science

Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, Armando Solar-Lezama, Swarat Chaudhuri, Yisong Yue, Omar Costilla-Reyes

Neurosymbolic programming for data-driven scientific models.

Neurosymbolic AI Scientific Discovery

#142020IEEE Sensors Journal

Age-Related Differences in Healthy Adults Walking Patterns Under a Cognitive Task With Deep Neural Networks

Omar Costilla-Reyes, Patricia Scully, Iracema Leroi, Krikor B. Ozanyan

Healthcare Gait Analysis Deep Learning

#152019Deep Learning: Algorithms and Applications

Deep learning in gait analysis for security and healthcare

Omar Costilla-Reyes, Rubén Vera-Rodríguez, Abdullah S. Alharthi, Syed U. Yunas, Krikor B. Ozanyan

Healthcare Gait Analysis Deep Learning

#1620192019 Conference on Cognitive Computational Neuroscience

Automatic methods for cortex-wide layer identification of electrophysiological signals reveals a cortical motif for the expression of neuronal rhythms

André M. Bastos, Omar Costilla-Reyes, Earl K. Miller

Neuroscience Pattern Recognition

#1720192019 Conference on Cognitive Computational Neuroscience

Pattern recognition of deep and superficial layers of the macaque brain using large-scale local field potentials

Omar Costilla-Reyes, André M. Bastos, Earl K. Miller

Neuroscience Pattern Recognition

#182018IEEE Transactions on Pattern Analysis and Machine Intelligence

Analysis of spatio-temporal representations for robust footstep recognition with deep residual neural networks

Omar Costilla-Reyes, Rubén Vera-Rodríguez, Patricia Scully, Krikor B. Ozanyan

Pattern Recognition Deep Learning Gait Analysis

#1920172017 IEEE Sensors Conference

Age-sensitive differences in single and dual walking tasks from footprint floor sensor data

Omar Costilla-Reyes, Patricia Scully, Krikor B. Ozanyan

Gait Analysis Healthcare Sensors

#202017IEEE Transactions on Industrial Electronics

Deep neural networks for learning spatio-temporal features from tomography sensors

Omar Costilla-Reyes, Patricia Scully, Krikor B. Ozanyan

Deep Learning Gait Analysis Sensors

#2120172017 IEEE Sensors Conference

Unsupervised Learning for Spectral Data Analysis as a Novel Sensor for Identifying Rodent Infestation in Urban Environments

Omar Costilla-Reyes, Zachary Coldrick, Bruce Grieve

Sensors

#22201625th International Conference on Plastic Optical Fibres

POF Sensing Grid: Signal Analysis to extract Human Motion Characteristics

Patricia Scully, Omar Costilla Reyes, Nabeel Ahmed, John Vaughan, Emma Stanmore, Krikor Ozanyan

Sensors Healthcare

#232016Proceedings of IEEE SENSORS 2016

Spatial footstep recognition by convolutional neural networks for biometric applications

Omar Costilla-Reyes, Ruben Vera-Rodriguez, Patricia J. Scully, Krikor B. Ozanyan

Deep Learning Gait Analysis Pattern Recognition

#242016IEEE Sensors Journal

Temporal pattern recognition in gait activities recorded with a footprint imaging sensor system

Omar Costilla-Reyes, Patricia Scully, Krikor B. Ozanyan

Gait Analysis Pattern Recognition Healthcare

#252016ESOF 2016 Proceedings: MCAA Poster Session

What Can Machine Learning Infer about the Way You Walk?

Omar Costilla-Reyes, Patricia Scully, Krikor Ozanyan

Gait Analysis Healthcare

#262015Proceedings of IEEE SENSORS 2015

Temporal pattern recognition for gait analysis applications using an "intelligent carpet" system

Omar Costilla-Reyes, Patricia Scully, Krikor B. Ozanyan

Gait Analysis Pattern Recognition Sensors

#27201524th International Conference on Plastic Optical Fibres

iMagiMat Smart Carpet: POF Layer to Detect Gait and Mobility

Patricia Scully, J. Cantoral-Caballos, J. Vaughan, P. Wright, T. Zebin, Frank Podd, Omar Costilla Reyes, C. Brown Wilson, C. Todd, Emma Stanmore, Krikor Ozanyan

Sensors Gait Analysis Healthcare

#282014MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Annual Conference

Comparison of Machine Learning Algorithms for Identifying Cancer Types

Garima Saxena, Joseph Helsing, Omar Costilla Reyes, Rajeev K. Azad

Computational Biology

#2920142014 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

Dynamic Wi-Fi fingerprinting indoor positioning system

Omar Costilla-Reyes, Kamesh Namuduri

Indoor Positioning

#302013UNT Research Experiences for Teachers in Sensor Networks

Cooperation of Autonomous NXT Robots Using Bluetooth Wireless Technology

Jesse Bell, Elizabeth Freeman, Kamesh Namuduri, Omar Costilla

Robotics

#312013University of North Texas Research Experience for Teachers poster

Robotics: Cooperation of Autonomous Robots Using Bluetooth Communication

Elizabeth Freeman, Jesse Bell

Robotics

Research publications

LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinician-Evaluated Case Study

Predicting Schizophrenia States with Behavioral Sensing and Network Analysis

Comorbid anxiety predicts lower odds of MDD improvement in a trial of smartphone-delivered interventions

Estimation of total body fat using symbolic regression and evolutionary algorithms

Predicting treatment response in body dysmorphic disorder with interpretable machine learning

InceptionSR: Recursive Symbolic Regression for Equation Synthesis

Symbolic regression with a learned concept library

MathDSL: A Domain-Specific Language for Concise Mathematical Solutions Via Program Synthesis

Predicting response to a smartphone-based cognitive-behavioral therapy for body dysmorphic disorder

Individual behavioral insights in schizophrenia: A network analysis and mobile sensing approach

Counterfactual explanations and predictive models to enhance clinical decision-making in schizophrenia using digital phenotyping

Lemma: Bootstrapping high-level mathematical reasoning with learned symbolic abstractions

Neurosymbolic programming for science

Age-Related Differences in Healthy Adults Walking Patterns Under a Cognitive Task With Deep Neural Networks

Deep learning in gait analysis for security and healthcare

Automatic methods for cortex-wide layer identification of electrophysiological signals reveals a cortical motif for the expression of neuronal rhythms

Pattern recognition of deep and superficial layers of the macaque brain using large-scale local field potentials

Analysis of spatio-temporal representations for robust footstep recognition with deep residual neural networks

Age-sensitive differences in single and dual walking tasks from footprint floor sensor data

Deep neural networks for learning spatio-temporal features from tomography sensors

Unsupervised Learning for Spectral Data Analysis as a Novel Sensor for Identifying Rodent Infestation in Urban Environments

POF Sensing Grid: Signal Analysis to extract Human Motion Characteristics

Spatial footstep recognition by convolutional neural networks for biometric applications

Temporal pattern recognition in gait activities recorded with a footprint imaging sensor system

What Can Machine Learning Infer about the Way You Walk?

Temporal pattern recognition for gait analysis applications using an "intelligent carpet" system

iMagiMat Smart Carpet: POF Layer to Detect Gait and Mobility

Comparison of Machine Learning Algorithms for Identifying Cancer Types

Dynamic Wi-Fi fingerprinting indoor positioning system

Cooperation of Autonomous NXT Robots Using Bluetooth Wireless Technology

Robotics: Cooperation of Autonomous Robots Using Bluetooth Communication

Google Scholar citation profile