Learning-Augmented Maximum Flow

26 July 2022

Papers citing "Learning-Augmented Maximum Flow"

7 / 7 papers shown

Title
Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Charupriya Sharma Iñaki Estella Aguerri Daniel Guimarans AI4TS 56 0 0 06 May 2025
Incremental Approximate Single-Source Shortest Paths with Predictions Samuel McCauley Benjamin Moseley Aidin Niaparast Helia Niaparast Shikha Singh CLL 101 1 0 12 Feb 2025
Warm-starting Push-Relabel Sami Davies Sergei Vassilvitskii Yuyan Wang AI4CE 51 2 0 28 May 2024
Algorithms for Caching and MTS with reduced number of predictions Karim Abdel Sadek Marek Elias 79 8 0 09 Apr 2024
Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case Taihei Oki Shinsaku Sakaue 79 3 0 09 Jun 2023
$Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization$ Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$ -/ $\text{L}^\natural$ -Convex Function Minimization Shinsaku Sakaue Taihei Oki 72 2 0 02 Feb 2023
Paging with Succinct Predictions A. Antoniadis J. Boyar Marek Eliáš Lene M. Favrholdt R. Hoeksma Kim S. Larsen Adam Polak Bertrand Simon OOD 64 17 0 06 Oct 2022