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20132026
most citedWhat's Wrong with Deep Learning in Tree Search for Combinatorial Optimization

10 citations · 15 across the 17 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.DS2024

Efficient Fault-Tolerant Search by Fast Indexing of Subnetworks

Davide Bilò, Keerti Choudhary, Sarel Cohen +2

We design sensitivity oracles for error-prone networks. For a network problem , the data structure preprocesses a network and sensitivity parameter such that, for…

cs.GT2024

Temporal Network Creation Games: The Impact of Non-Locality and Terminals

Davide Bilò, Sarel Cohen, Tobias Friedrich +4

We live in a world full of networks where our economy, our communication, and even our social life crucially depends on them. These networks typically emerge from the interaction o…

cs.DS2024

Improved Distance (Sensitivity) Oracles with Subquadratic Space

Davide Bilò, Shiri Chechik, Keerti Choudhary +3

A distance oracle (DO) with stretch for a graph is a data structure that, when queried with vertices and , returns a value such that $d(s,t)…

cs.DS2024

A New Approach for Approximating Directed Rooted Networks

Sarel Cohen, Lior Kamma, Aikaterini Niklanovits

We consider the k-outconnected directed Steiner tree problem (k-DST). Given a directed edge-weighted graph , where , and an integer , the goal i…

cs.SI2024

Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation

Thomas Bläsius, Sarel Cohen, Philipp Fischbeck +2

Random graph models are widely used to understand network properties and graph algorithms. Key to such analyses are the different parameters of each model, which affect various net…