124 citations · 147 across the 12 of their papers we have counts for
3 papers · 1 filter
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver F. Lange +5
Inverse reinforcement learning (IRL) offers a powerful and general framework for learning humans' latent preferences in route recommendation, yet no approach has successfully addre…
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling
Tyler Will, Runyu Zhang, Eli Sadovnik +5
We introduce a new method based on nonnegative matrix factorization, Neural NMF, for detecting latent hierarchical structure in data. Datasets with hierarchical structure arise in…
Structural Equivalence in Subgraph Matching
Dominic Yang, Yurun Ge, Thien Nguyen +3
Symmetry plays a major role in subgraph matching both in the description of the graphs in question and in how it confounds the search process. This work addresses how to quantify t…