3 papers
cs.LG2025
TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
Jacob Chmura, Shenyang Huang, Tran Gia Bao Ngo +7
Well-designed open-source software drives progress in Machine Learning (ML) research. While static graph ML enjoys mature frameworks like PyTorch Geometric and DGL, ML for temporal…
cs.CL2025
Plausibility Vaccine: Injecting LLM Knowledge for Event Plausibility
Jacob Chmura, Jonah Dauvet, Sebastian Sabry
Despite advances in language modelling, distributional methods that build semantic representations from co-occurrences fail to discriminate between plausible and implausible events…
cs.LG2023
Information Content Exploration
Jacob Chmura, Hasham Burhani, Xiao Qi Shi
Sparse reward environments are known to be challenging for reinforcement learning agents. In such environments, efficient and scalable exploration is crucial. Exploration is a mean…