10 papers
Two-sided receptivity to conversational AI agents in online dating: Bilingual survey data from Fledge.Love
Daria Leshchikova, Valentina V. Kuskova, Dmitry Zaytsev +1
Autonomous conversational agents and generative-AI features are being added to online dating platforms faster than public evidence about user attitudes can accumulate, and the scar…
Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty
Xulin Chen, Ruipeng Liu, Zhenyu Gan +1
Uncertainties in transition dynamics pose a critical challenge in reinforcement learning (RL), often resulting in performance degradation of trained policies when deployed on hardw…
Learning AI Without a STEM Background: Mixed-Methods Evidence from a Diverse, Mixed-Cohort AIED Program
Valentina Kuskova, Dmitry Zaytsev, Richard Johnson
Despite growing interest in AI education, most AIED initiatives remain narrowly targeted toward STEM-prepared students, limiting participation by non-STEM learners and adults seeki…
When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic
Valentina Kuskova, Dmitry Zaytsev, Michael Coppedge
When a neural time-series model reports that one variable modulates another's effect on a target, is the discovered interaction a property of the data or an artifact of model flexi…
Trajectory-Aware Node Contributions and the Limits of Static Controllability
Valentina Kuskova, Dmitry Zaytsev, Michael Coppedge
A recurring data mining task in complex networks is to determine how individual nodes contribute to system behavior. Existing approaches rely on either static-graph centralities or…
From Causal Discovery to Dynamic Causal Inference in Neural Time Series
Dmitry Zaytsev, Valentina Kuskova, Michael Coppedge
Time-varying causal models provide a powerful framework for studying dynamic scientific systems, yet most existing approaches assume that the underlying causal network is known a p…