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20212026
most citedPredicting the Stereoselectivity of Chemical Transformations by Machine Learning

2 citations · 2 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.DS2026

Online Tokenization with Optimal Delay in Linear Time

Mina Dalirrooyfard, Christopher Ye

Tokenization is an essential preprocessing step in almost all large language models (LLMs). One of the most popular frameworks is BPE tokenization, which consists of special token…

cs.DS2026

Almost Optimal Multiple Source Shortest Paths and Reachability

Barna Saha, Yinzhan Xu, Christopher Ye

Given a graph, computing distances and reachabilities from a small set of vertices to the whole graph is an important primitive both in theory and in practice. In undirected unweig…

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.DS2024

Fine-Grained Optimality of Partially Dynamic Shortest Paths and More

Barna Saha, Virginia Vassilevska Williams, Yinzhan Xu +1

Single Source Shortest Paths () is among the most well-studied problems in computer science. In the incremental (resp. decremental) setting, the goal is to maintain…

cs.DS2023

Faster Approximate All Pairs Shortest Paths

Barna Saha, Christopher Ye

The all pairs shortest path problem (APSP) is one of the foundational problems in computer science. For weighted dense graphs on vertices, no truly sub-cubic algorithms exist t…

cs.DS2023

On the Complexity of Algorithms with Predictions for Dynamic Graph Problems

Monika Henzinger, Barna Saha, Martin P. Seybold +1

{\em Algorithms with predictions} incorporate machine learning predictions into algorithm design. A plethora of recent works incorporated predictions to improve on worst-case optim…