activity
20242026
collaborators

7 papers

cs.DS2026

Tree Edit Distance: Near-Linear-Time Approximate, Sublinear, and Dynamic

Bingbing Hu, Tomasz Kociumaka, Jakob Nogler +1

Tree edit distance (TED), the analog of string edit distance (ED) for hierarchical data, is the minimum number of node insertions, deletions, and substitutions transforming one lab…

cs.DS2026

Asteroidal Triples and Friends in (Likely Necessary) Matrix Multiplication Time

Jakob Nogler, Agnès Totschnig, Virginia Vassilevska Williams

In a seminal paper, Kratsch and Spinrad [SODA 2003 and SIAM Journal on Computing 2006] studied several important problems in structural graph theory that anticipated two trends in…

cs.DS2026

The Cost of Changing Edges for Diameter Computation and More

Sam Hiken, Yael Kirkpatrick, Jakob Nogler +1

The sensitivity setting is a restricted setting for dynamic algorithms, particularly practical for scenarios where extensive preprocessing is feasible but responses to real-time mo…

cs.DS2026

The Communication Complexity of Pattern Matching with Edits Revisited

Tomasz Kociumaka, Jakob Nogler, Philip Wellnitz

In the decades-old Pattern Matching with Edits problem, given a length- string (the text), a length- string (the pattern), and a positive integer (the threshold),…

cs.DS2025

Hardness of Dynamic Tree Edit Distance and Friends

Bingbing Hu, Jakob Nogler, Barna Saha

String Edit Distance is a more-than-classical problem whose behavior in the dynamic setting, where the strings are updated over time, is well studied. A single-character substituti…

cs.DS2024

Faster Weighted and Unweighted Tree Edit Distance and APSP Equivalence

Jakob Nogler, Adam Polak, Barna Saha +3

The tree edit distance (TED) between two rooted ordered trees with nodes labeled from an alphabet is the minimum cost of transforming one tree into the other by a sequence…

cs.MA2024

The Geometry of Cyclical Social Trends

Bernard Chazelle, Kritkorn Karntikoon, Jakob Nogler

We investigate the emergence of periodic behavior in opinion dynamics and its underlying geometry. For this, we use a bounded-confidence model with contrarian agents in a convoluti…