Publications (13)
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…
Bandwidth Allocation Games
Niloofar Bayat, Vishal Misra, Dan Rubenstein
Internet providers often offer data plans that, for each user's monthly billing cycle, guarantee a fixed amount of data at high rates until a byte threshold is reached, at which po…
Conducting Mission-Critical Voice Experiments with Automated Speech Recognition and Crowdsourcing
Jan Janak, Kahlil Dozier, Lauren Berny +4
Mission-critical voice (MCV) communications systems have been a critical tool for the public safety community for over eight decades. Public safety users expect MCV systems to oper…
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
Isla Duporge, Maksim Kholiavchenko, Roi Harel +9
Using drones to track multiple individuals simultaneously in their natural environment is a powerful approach for better understanding group primate behavior. Previous studies have…
Technical Report: Modeling Average False Positive Rates of Recycling Bloom Filters
Kahlil Dozier, Loqman Salamatian, Dan Rubenstein
Bloom Filters are a space-efficient data structure used for the testing of membership in a set that errs only in the False Positive direction. However, the standard analysis that m…
VineLM: Trie-Based Fine-Grained Control for Agentic Workflows
Nikos Pagonas, Matthew Lou, Tianyi Peng +2
Agentic workflows interleave configurable LLM stages with tool stages and often include retries or refinement loops. Existing workflow managers profile full workflow configurations…