18 citations · 39 across the 12 of their papers we have counts for
13 papers
Spatial-IQ: Deconstructing Spatial Intelligence via Hierarchical Capability Tests
Patrick Rim, Tom Long, Ekta Prashnani +6
Multimodal large language models (MLLMs) excel at visual interpretation but fail on spatial reasoning tasks that humans solve reliably. Existing benchmarks evaluate these models as…
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations
Parikshit Solunke, Vitoria Guardieiro, Joao Rulff +5
With the increasing use of black-box Machine Learning (ML) techniques in critical applications, there is a growing demand for methods that can provide transparency and accountabili…
ESPORT: Electronic Sports Professionals Observations and Reflections on Training
Andrzej Białecki, Peter Xenopoulos, Paweł Dobrowolski +2
Esports and high performance human-computer interaction are on the forefront of applying new hardware and software technologies in practice. Despite that, there is a paucity of res…
Market Interventions in a Large-Scale Virtual Economy
Senan Hogan-Hennessy, Peter Xenopoulos, Claudio Silva
Massively multiplayer online role-playing games often contain sophisticated in-game economies. Many important real-world economic phenomena, such as inflation, economic growth, and…
ESTA: An Esports Trajectory and Action Dataset
Peter Xenopoulos, Claudio Silva
Sports, due to their global reach and impact-rich prediction tasks, are an exciting domain to deploy machine learning models. However, data from conventional sports is often unsuit…
Graph Neural Networks to Predict Sports Outcomes
Peter Xenopoulos, Claudio Silva
Predicting outcomes in sports is important for teams, leagues, bettors, media, and fans. Given the growing amount of player tracking data, sports analytics models are increasingly…