45 citations · 51 across the 6 of their papers we have counts for
6 papers
Goodness-of-Fit of Attributed Probabilistic Graph Generative Models
Pablo Robles-Granda, Katherine Tsai, Oluwasanmi Koyejo
Probabilistic generative models of graphs are important tools that enable representation and sampling. Many recent works have created probabilistic models of graphs that are capabl…
Advanced Methods for Connectome-Based Predictive Modeling of Human Intelligence: A Novel Approach Based on Individual Differences in Cortical Topography
Evan D. Anderson, Ramsey Wilcox, Anuj Nayak +5
Individual differences in human intelligence can be modeled and predicted from in vivo neurobiological connectivity. Many established modeling frameworks for predicting intelligenc…
Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being
Pablo Robles-Granda, Suwen Lin, Xian Wu +15
Assessment of job performance, personalized health and psychometric measures are domains where data-driven and ubiquitous computing exhibits the potential of a profound impact in t…
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
Xian Wu, Chao Huang, Pablo Roblesgranda +1
The prevalence of wearable sensors (e.g., smart wristband) is creating unprecedented opportunities to not only inform health and wellness states of individuals, but also assess and…
Social Network Structure is Predictive of Health and Wellness
Suwen Lin, Louis Faust, Pablo Robles-Granda +1
Social networks influence health-related behaviors, such as obesity and smoking. While researchers have studied social networks as a driver for diffusion of influences and behavior…
Using Bayesian Network Representations for Effective Sampling from Generative Network Models
Pablo Robles-Granda, Sebastian Moreno, Jennifer Neville
Bayesian networks (BNs) are used for inference and sampling by exploiting conditional independence among random variables. Context specific independence (CSI) is a property of grap…