1 citations · 1 across the 4 of their papers we have counts for
4 papers
Predicting Treatment Response in Body Dysmorphic Disorder with Interpretable Machine Learning
Omar Costilla-Reyes, Morgan Talbot
Body Dysmorphic Disorder (BDD) is a highly prevalent and frequently underdiagnosed condition characterized by persistent, intrusive preoccupations with perceived defects in physica…
MathDSL: A Domain-Specific Language for Concise Mathematical Solutions Via Program Synthesis
Sagnik Anupam, Maddy Bowers, Omar Costilla-Reyes +1
We present MathDSL, a Domain-Specific Language (DSL) for mathematical equation solving, which, when deployed in program synthesis models, outperforms state-of-the-art reinforcement…
Comorbid anxiety predicts lower odds of MDD improvement in a trial of smartphone-delivered interventions
Morgan B. Talbot, Jessica M. Lipschitz, Omar Costilla-Reyes
Comorbid anxiety disorders are common among patients with major depressive disorder (MDD), but their impact on outcomes of digital and smartphone-delivered interventions is not wel…
Individual Behavioral Insights in Schizophrenia: A Network Analysis and Mobile Sensing Approach
Andy Davies, Eiko Fried, Hane Aung +1
Digital phenotyping in mental health often consists of collecting behavioral and experience-based information through sensory and self-reported data from devices such as smartphone…