activity
20232026
collaborators

14 papers

math.FA2026

LLCT: Learnable Linear Canonical Transform Family with Stability for Visual Feature Processing

Zunwei Fu, Zhen Wang, Dachun Yang +1

Visual structures are often characterized by directional geometry, local oscillation, and spatial--frequency coupling. To overcome the limitations of conventional spatial convoluti…

cs.DS2026

Faster Deterministic Approximation for Counting Knapsack

Ce Jin, Jaewoo Park, Barna Saha

Given nonnegative integer weights and an integer knapsack capacity , the Knapsack problem asks to count the number of subsets $I \subseteq \{1, 2, \do…

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.CG2026

Furthest Pair Requires Quadratic Time in Superconstant Dimension under SETH

Barna Saha, Yinzhan Xu, Christopher Ye

Several fundamental problems in computational geometry admit algorithms with running time for points in dimensions, making them among the most pro…

cs.DS2026

Deterministic Monotone Min-Plus Product and Convolution

Ce Jin, Jaewoo Park, Barna Saha +1

The Monotone Min-Plus Product problem is a useful primitive that has seen many algorithmic applications over the past decade. In this problem, we are given two integer…

cs.CC2026

On the Computational Hardness of Transformers

Barna Saha, Yinzhan Xu, Christopher Ye +1

The transformer has revolutionized modern AI across language, vision, and beyond. It consists of layers, each running attention heads in parallel and feeding the combined o…

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.DS2025

Optimal Graph Reconstruction by Counting Connected Components in Induced Subgraphs

Hadley Black, Arya Mazumdar, Barna Saha +1

The graph reconstruction problem has been extensively studied under various query models. In this paper, we propose a new query model regarding the number of connected components,…

cs.LG2025

Subquadratic Algorithms and Hardness for Attention with Any Temperature

Shreya Gupta, Boyang Huang, Barna Saha +2

Despite the popularity of the Transformer architecture, the standard algorithm for computing Attention suffers from quadratic time complexity in context length . Alman and Song…

cs.CC2025

Average-Case Hardness of Parity Problems: Orthogonal Vectors, k-SUM and More

Mina Dalirrooyfard, Andrea Lincoln, Barna Saha +1

This work establishes conditional lower bounds for average-case {\em parity}-counting versions of the problems -XOR, -SUM, and -OV. The main contribution is a set of self-…

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.LG2024

The I/O Complexity of Attention, or How Optimal is Flash Attention?

Barna Saha, Christopher Ye

Self-attention is at the heart of the popular Transformer architecture, yet suffers from quadratic time and memory complexity. The breakthrough FlashAttention algorithm revealed I/…

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…