3 papers
cs.LG2026
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…
cs.AI2025
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…
cs.CV2024
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…