Search papers, labs, and topics across Lattice.
2
0
3
This work proposes RDDMPI, a conditional residual diffusion framework that operates directly in residual space, and reformulates probabilistic imputation as a baseline-residual decomposition, where a pretrained model captures the dominant signal and a diffusion process models the residual uncertainty.
Finally, a dynamic EVRPTW benchmark generator that guarantees feasibility, letting researchers focus on algorithmic innovation instead of debugging unsolvable instances.
