Co-occurring keywords · papers mentioning both
Papers
Exact Combinatorial Multi-Class Graph Cuts for Semi-Supervised Learning
AAAI 2026
Globally Optimal Multi-Object Tracking with Splitting and Merging
UAI 2026
Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation
AAAI 2025
A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem
AAAI 2024
Hodge-Compositional Edge Gaussian Processes
AISTATS 2024
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
NeurIPS 2024
Warm-starting Push-Relabel
NeurIPS 2024
Prediction Equilibrium for Dynamic Network Flows
JMLR 2023
Learning of Global Objective for Network Flow in Multi-Object Tracking
CVPR 2022
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
AAAI 2022
On Improving Resource Allocations by Sharing
AAAI 2022
Physics-Informed Implicit Representations of Equilibrium Network Flows
NeurIPS 2022
Combining Physics and Machine Learning for Network Flow Estimation
ICLR 2021
Learning a Neural Solver for Multiple Object Tracking
CVPR 2020
p-Norm Flow Diffusion for Local Graph Clustering
ICML 2020
Analysis of Network Lasso for Semi-Supervised Regression
AISTATS 2019
Deep Network Flow for Multi-Object Tracking
CVPR 2017
Graphical Time Warping for Joint Alignment of Multiple Curves
NeurIPS 2016
Large-Scale Price Optimization via Network Flow
NeurIPS 2016
Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms
RSS 2016
On Pairwise Costs for Network Flow Multi-Object Tracking
CVPR 2015
Target Identity-Aware Network Flow for Online Multiple Target Tracking
CVPR 2015
Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking
CVPR 2013
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows
JMLR 2013
Convex and Network Flow Optimization for Structured Sparsity
JMLR 2011