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20132026
most citedTensor Decomposition for Signal Processing and Machine Learning

1.7k citations · 1.8k across the 76 of their papers we have counts for

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Showing 2025Show all

17 papers · 1 filter

cs.IR2025

A Real-Time System to Populate FRA Form 57 from News

Chansong Lim, Haz Sameen Shahgir, Yue Dong +2

Local railway committees need timely situational awareness after highway-rail grade crossing incidents, yet official Federal Railroad Administration (FRA) investigations can take d…

astro-ph.IM2025

Graph Neural Networks for Interferometer Simulations

Sidharth Kannan, Pooyan Goodarzi, Evangelos E. Papalexakis +1

In recent years, graph neural networks (GNNs) have shown tremendous promise in solving problems in high energy physics, materials science, and fluid dynamics. In this work, we intr…

cs.CV2025

AD-SAM: Adapting the Segment Anything Model for Semantic Segmentation in Autonomous Driving

Mario Camarena, Het Patel, Fatemeh Nazari +3

This paper presents the Autonomous Driving Segment Anything Model (AD-SAM), a foundation-model adaptation framework for semantic segmentation in autonomous driving. AD-SAM combines…

cs.LG2025

Preliminary Use of Vision Language Model Driven Extraction of Mouse Behavior Towards Understanding Fear Expression

Paimon Goulart, Jordan Steinhauser, Kylene Shuler +3

Integration of diverse data will be a pivotal step towards improving scientific explorations in many disciplines. This work establishes a vision-language model (VLM) that encodes v…

cs.CL2025

Do Internal Layers of LLMs Reveal Patterns for Jailbreak Detection?

Sri Durga Sai Sowmya Kadali, Evangelos E. Papalexakis

Jailbreaking large language models (LLMs) has emerged as a pressing concern with the increasing prevalence and accessibility of conversational LLMs. Adversarial users often exploit…

cs.LG2025

Surrogate Modeling for the Design of Optimal Lattice Structures using Tensor Completion

Shaan Pakala, Aldair E. Gongora, Brian Giera +1

When designing new materials, it is often necessary to design a material with specific desired properties. Unfortunately, as new design variables are added, the search space grows…