34 citations · 173 across the 146 of their papers we have counts for
7 papers · 2 filters
More than Marketing? On the Information Value of AI Benchmarks for Practitioners
Amelia Hardy, Anka Reuel, Kiana Jafari Meimandi +6
Public AI benchmark results are widely broadcast by model developers as indicators of model quality within a growing and competitive market. However, these advertised scores do not…
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
Anka Reuel, Amelia Hardy, Chandler Smith +3
AI models are increasingly prevalent in high-stakes environments, necessitating thorough assessment of their capabilities and risks. Benchmarks are popular for measuring these attr…
Multi-scale Generative Modeling for Fast Sampling
Xiongye Xiao, Shixuan Li, Luzhe Huang +6
While working within the spatial domain can pose problems associated with ill-conditioned scores caused by power-law decay, recent advances in diffusion-based generative models hav…
Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms
Mahdi Al-Husseini, Kyle H. Wray, Mykel J. Kochenderfer
The transfer of patients between two aircraft using an underway watercraft increases medical evacuation reach and flexibility in maritime environments. The selection of any one of…
ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints
Robert J. Moss, Arec Jamgochian, Johannes Fischer +2
To plan safely in uncertain environments, agents must balance utility with safety constraints. Safe planning problems can be modeled as a chance-constrained partially observable Ma…
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent
Paula Stocco, Suhas Chundi, Arec Jamgochian +1
Lagrangian-guided Monte Carlo tree search with global dual ascent has been applied to solve large constrained partially observable Markov decision processes (CPOMDPs) online. In th…