28 citations · 31 across the 5 of their papers we have counts for
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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.LG2023★ 3 cited
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…