Search papers, labs, and topics across Lattice.
Department of Statistics and Operations Research, UNC-Chapel Hill
4
0
8
0
Conditional risk calibration reveals a unique perspective on uncertainty quantification that could transform how we approach decision-making in machine learning.
Training-free change detection gets a serious boost: CoRegOVCD leverages posterior calibration and geometric consistency to identify semantic changes in remote sensing imagery with significantly improved accuracy.
HALyPO stabilizes human-robot collaboration by directly certifying the convergence of decentralized policy learning in parameter space, sidestepping the oscillations that plague standard MARL approaches.
By using optimal transport to guide cross-attention, SceneTransporter disentangles image patches and 3D latents, leading to more coherent and geometrically faithful 3D scene generation from single images.
