1 citations · 5 across the 12 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.AI2026
Learning to Hand Off: Provably Convergent Workflow Learning under Interface Constraints
Jiayu Li, Enpei Zhang, Dawei Zhou +2
We study workflow learning in a setting where specialized agents hand off control through a shared artifact, each agent observes only a local function of that artifact and its own…
stat.ML2026
Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection
Elynn Chen, Jiayu Li, Zheshi Zheng +1
Tensor-valued data arise naturally in neuroimaging, genomics, climate science, and spatiotemporal networks, where multilinear dependencies across modes carry information that is de…
stat.ML2026
Quantifying Epistemic Uncertainty in Diffusion Models
Aditi Gupta, Raphael A. Meyer, Yotam Yaniv +2
To ensure high quality outputs, it is important to quantify the epistemic uncertainty of diffusion models. Existing methods are often unreliable because they mix epistemic and alea…