Latest Discoveries

The Futility of Bias-Free Learning and Search

Along with Professor George Montañez, students Jonathan Hayase ’20, Julius Lauw ’20, Dominique Macias ’19, Akshay Trikha ’21 and Julia Vendemiatti ’21 published a paper titled “The Futility of Bias-Free Learning and Search.” Learning algorithms are machines that turn data resources into predictions. Their paper shows that unless algorithms do this conversion in a biased […]

Automatically Solving Deduction Games via Symbolic Execution, Model Counting, and Entropy Maximization

Mara Downing, Chris Thompson and Professor Lucas Bang had their paper titled “Automatically Solving Deduction Games via Symbolic Execution, Model Counting, and Entropy Maximization” accepted at the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Strategy Game Workshop. Mara and Chris designed a DSL for expressing a class of puzzles called “deduction games,” implemented […]

Graphs Are Not Enough: Using Interactive Visual Analytics in Storage Research

Professor Geoff Kuenning (pictured above) co-authored the paper “Graphs Are Not Enough: Using Interactive Visual Analytics in Storage Research,” which appeared in the Usenix HotStorage ’19 Workshop. The paper presents a visualization tool that helps system designers and experimenters explore the vast number of possibilities available (often millions or more) when configuring storage systems. The […]