89 citations
- Florida State UniversityUS7 papers
- University of Tennessee at KnoxvilleUS5 papers
- Florida Institute for Human and Machine CognitionUS4 papers
- Auburn UniversityUS3 papers
- Florida International UniversityUS3 papers
- KTH Royal Institute of TechnologySE3 papers
- University of Massachusetts AmherstUS3 papers
- University of SouthamptonGB3 papers
- Carnegie Mellon UniversityUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Duke UniversityUS2 papers
33 papers
From Exact Diagonalization to DMRG: A Complete Numerical Study of the Transverse-Field Ising Model
Chandra Sekhar Prayaga
We present a self-contained numerical study of the one-dimensional transverse-field Ising model (TFIM), tracing its ground-state entanglement structure from exact diagonalization a…
The Personalization Paradox: Semantic Loss vs. Reasoning Gains in Agentic AI Q&A
Satyajit Movidi, Stephen Russell
AIVisor, an agentic retrieval-augmented LLM for student advising, was used to examine how personalization affects system performance across multiple evaluation dimensions. Using tw…
Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense
Kyle Stein, Andrew A. Mahyari, Guillermo Francia +1
Deep neural networks (DNNs) and generative AI (GenAI) are increasingly vulnerable to backdoor attacks, where adversaries embed triggers into inputs to cause models to misclassify o…
MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks
Raffaele Galliera, Alessandro Morelli, Roberto Fronteddu +1
Fast and efficient transport protocols are the foundation of an increasingly distributed world. The burden of continuously delivering improved communication performance to support…
SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection
Yanhui Zhu, Fang Hu, Lei Hsin Kuo +1
The research on complex networks has achieved significant progress in revealing the mesoscopic features of networks. Community detection is an important aspect of understanding rea…
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations
Arie Glazier, Andrea Loreggia, Nicholas Mattei +3
Many real-life scenarios require humans to make difficult trade-offs: do we always follow all the traffic rules or do we violate the speed limit in an emergency? These scenarios fo…