28 citations · 31 across the 5 of their papers we have counts for
5 papers
Unlocking Temporal Generalization in Hamiltonian Video Dynamics Models
Eli Laird, Corey Clark
World models are typically trained to predict discrete-time physical dynamics with a fixed step size baked into the model weights, preventing prediction at variable temporal resolu…
On Memory: A comparison of memory mechanisms in world models
Eli J. Laird, Corey Clark
World models enable agents to plan within imagined environments by predicting future states conditioned on past observations and actions. However, their ability to plan over long h…
SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition
Kassi Nzalasse, Rishav Raj, Eli Laird +1
As Artificial Intelligence applications expand, the evaluation of models faces heightened scrutiny. Ensuring public readiness requires evaluation datasets, which differ from traini…
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations
Eli Laird, Ayesh Madushanka, Elfi Kraka +1
Progress in graph neural networks has grown rapidly in recent years, with many new developments in drug discovery, medical diagnosis, and recommender systems. While this progress i…
Evaluating Proposed Fairness Models for Face Recognition Algorithms
John J. Howard, Eli J. Laird, Yevgeniy B. Sirotin +3
The development of face recognition algorithms by academic and commercial organizations is growing rapidly due to the onset of deep learning and the widespread availability of trai…