3 citations · 8 across the 6 of their papers we have counts for
8 papers
Explanation through Reward Model Reconciliation using POMDP Tree Search
Benjamin D. Kraske, Anshu Saksena, Anna L. Buczak +1
As artificial intelligence (AI) algorithms are increasingly used in mission-critical applications, promoting user-trust of these systems will be essential to their success. Ensurin…
A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN)
Jennifer Sleeman, David Chung, Anand Gnanadesikan +10
We propose a new Tipping Point Generative Adversarial Network (TIP-GAN) for better characterizing potential climate tipping points in Earth system models. We describe an adversaria…
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points
Jennifer Sleeman, David Chung, Chace Ashcraft +10
We propose a hybrid Artificial Intelligence (AI) climate modeling approach that enables climate modelers in scientific discovery using a climate-targeted simulation methodology bas…
Detecting Anomalous Swarming Agents with Graph Signal Processing
Kevin Schultz, Anshu Saksena, Elizabeth P. Reilly +2
Collective motion among biological organisms such as insects, fish, and birds has motivated considerable interest not only in biology but also in distributed robotic systems. In a…
Towards Indirect Top-Down Road Transport Emissions Estimation
Ryan Mukherjee, Derek Rollend, Gordon Christie +4
Road transportation is one of the largest sectors of greenhouse gas (GHG) emissions affecting climate change. Tackling climate change as a global community will require new capabil…
Analyzing Collective Motion Using Graph Fourier Analysis
Kevin Schultz, Marisel Villafane-Delgado, Elizabeth P. Reilly +2
Collective motion in animal groups, such as swarms of insects, flocks of birds, and schools of fish, are some of the most visually striking examples of emergent behavior. Empirical…
Graph Signal Processing for Infrastructure Resilience: Suitability and Future Directions
Kevin Schultz, Marisel Villafane-Delgado, Elizabeth P. Reilly +2
Graph signal processing (GSP) is an emerging field developed for analyzing signals defined on irregular spatial structures modeled as graphs. Given the considerable literature rega…
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning
Ritchie Lee, Ole J. Mengshoel, Anshu Saksena +5
Finding the most likely path to a set of failure states is important to the analysis of safety-critical systems that operate over a sequence of time steps, such as aircraft collisi…