collaborators

6 papers

astro-ph.GA2026

Old Disks Die Hard: How Does AGN Feedback Suppress Disk Formation in Milky Way Mass Galaxies?

Patricia Fofie, James S. Bullock, Sarah Wellons +3

The connection between a galaxy's visual shape and its star formation rate is one of the oldest established trends in galaxy evolution, yet the origin of this trend remains unsettl…

cs.AI2026

Scenario Generation for Testing of Autonomous Driving Systems Using Real-World Failure Records

Anjali Parashar, Chuchu Fan

To ensure safe on-road behavior, pre-deployment testing and failure discovery of Autonomous Driving Systems (ADS) is crucial. Present day simulation based testing methods focus lar…

cs.LG2026

Pragmatic Curiosity: A Unified Framework for Hybrid Learning and Optimization via Active Inference

Yingke Li, Anjali Parashar, Enlu Zhou +1

Many engineering and scientific workflows rely on expensive black-box evaluations, requiring sequential decisions that must both improve task performance and reduce uncertainty. Ba…

cs.AI2026

SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing

Anjali Parashar, Yingke Li, Eric Yang Yu +4

As autonomous systems such as drones, become increasingly deployed in high-stakes, human-centric domains, it is critical to evaluate the ethical alignment since failure to do so im…

cs.LG2026

Curiosity is Knowledge: Self-Consistent Learning and No-Regret Optimization with Active Inference

Yingke Li, Anjali Parashar, Enlu Zhou +1

Active inference (AIF) unifies exploration and exploitation by minimizing the Expected Free Energy (EFE), balancing epistemic value (information gain) and pragmatic value (task per…

cs.RO2024

Failure Prediction from Limited Hardware Demonstrations

Anjali Parashar, Kunal Garg, Joseph Zhang +1

Prediction of failures in real-world robotic systems either requires accurate model information or extensive testing. Partial knowledge of the system model makes simulation-based f…