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20242026
most citedLearning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data

6 citations · 8 across the 7 of their papers we have counts for

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cs.LG2026

Causal Discovery Should Embrace the Wisdom of the Crowd

Ryan Feng Lin, Yuantao Wei, Huiling Liao +2

This paper argues for recognizing an emerging paradigm of causal learning by wisdom of the crowd. Recent developments in government, industry, and research point to the rise of dec…

cs.LG2026

Evaluating GFlowNet from partial episodes for stable and flexible policy-based training

Puhua Niu, Shili Wu, Xiaoning Qian

Generative Flow Networks (GFlowNets) were developed to learn policies for efficiently sampling combinatorial candidates by interpreting their generative processes as trajectories i…