activity
20202026
most citedDeep Learning for Information Systems Research

4 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Predicting the Financial Impact of Supply Chain Risk for Major AI-Related Semiconductor Firms: A Heterogeneous Graph Patch Transformer Approach

Jianna Hur, Sagar Samtani

Modern semiconductor production relies on a globally distributed, multi-tier supply chain in which financial stress at one firm spreads with a delay and eventually affects the reve…

cs.AI2026

Cross-Layer Misalignment Detection in Agent Skills: A Progressive Loading-Aware Contrastive Learning Approach

Chengjun Zhang, Yang Gao, Jianna Hur +2

Large language model (LLM) agents are increasingly extended through Agent Skills, reusable artifacts that package natural-language metadata, procedural instructions, and execution-…

cs.CR2026

Cybersecurity is the True Frontier for Generative AI Success or Failure

Edward Raff, Maor Ashkenazi, Sagar Samtani +2

Cybersecurity is a real-life test-bed for many machine learning problems at once, especially when considering modern strides in using Large Language Models (LLMs) to automate proce…

cs.CR2026

HackerSignal: A Large-Scale Multi-Source Dataset Linking Hacker Community Discourse to the CVE Vulnerability Lifecycle

Benjamin M. Ampel, Sagar Samtani

We introduce HackerSignal, a benchmark for temporal out-of-distribution cyber threat intelligence (CTI) and cross-source CVE linkage. HackerSignal aggregates 7.45 million exact-ded…

cs.LG2024

What Do Machine Learning Researchers Mean by "Reproducible"?

Edward Raff, Michel Benaroch, Sagar Samtani +1

The concern that Artificial Intelligence (AI) and Machine Learning (ML) are entering a "reproducibility crisis" has spurred significant research in the past few years. Yet with eac…

cs.CR2021★ 3 cited

Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework: A Self-Distillation Approach

Benjamin Ampel, Sagar Samtani, Steven Ullman +1

Due to the ever-increasing threat of cyber-attacks to critical cyber infrastructure, organizations are focusing on building their cybersecurity knowledge base. A salient list of cy…

cs.LG2020★ 4 cited

Deep Learning for Information Systems Research

Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan +2

Artificial Intelligence (AI) has rapidly emerged as a key disruptive technology in the 21st century. At the heart of modern AI lies Deep Learning (DL), an emerging class of algorit…