7 papers
Beyond Sufficiency: Time Series Explanation with Counterfactual Necessity
Hongnan Ma, Yiwei Shi, Mengyue Yang +1
Faithful explanations of time-series classifiers should identify subsequences that are not only sufficient to preserve a black-box model's prediction, but also necessary for mainta…
Distill-Belief: Closed-Loop Inverse Source Localization and Characterization in Physical Fields
Yiwei Shi, Zixing Song, Mengyue Yang +2
{Closed-loop inverse source localization and characterization (ISLC) requires a mobile agent to select measurements that localize sources and infer latent field parameters under st…
Dynamic Correction of Erroneous State Estimates via Diffusion Bayesian Exploration
Yiwei Shi, Hongnan Ma, Mengyue Yang +2
In emergency response and other high-stakes societal applications, early-stage state estimates critically shape downstream outcomes. Yet, these initial state estimates-often based…
TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
Hongnan Ma, Yiwei Shi, Guanxiong Sun +2
In decision-making processes, stakeholders often rely on counterfactual explanations, which provide suggestions about what should be changed in the queried instance to alter the ou…
Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering
Yiwei Shi, Jingyu Hu, Yu Zhang +4
Particle filtering is a Bayesian inference method and a fundamental tool in state estimation for dynamic systems, but its effectiveness is often limited by the constraints of the i…
Belief-Contraction-Driven Active Inverse Source Localization and Characterization
Yiwei Shi, Mengyue Yang, Qi Zhang +3
Active inverse source localization and characterization (ISLC) in dynamic fields requires sequential decision making under partial observability, where a mobile sensor must infer l…