output
19952026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

565 papers

econ.EM2026

Threshold Regression for Fixed-T Panel Data with Interactive Fixed Effects

Jan Ditzen, Yiannis Karavias, Joakim Westerlund

This paper develops a new toolbox for estimation and inference in panel data threshold regression models with interactive fixed effects and a fixed number of time periods, T. The t…

cs.HC2026★ 1 cited

Dramaturgies of Deception: AI Humanizers and the Performance of Legitimacy in Higher Education Assessment

Jasper Roe, Mike Perkins, Peter Bannister +2

Artificial intelligence (AI) has disrupted assessment in higher education and accelerated a cycle of compounding performances. Institutional policies demand the demonstration of in…

physics.bio-ph2026

Seabird trajectories map onto a reduced optimal-control bound for dynamic soaring

Louis González, John P. Y. Arnould, Saad Bhamla

Dynamic soaring allows seabirds to harvest mechanical energy from vertical wind shear, yet there is no common benchmark for comparing flight performance across species based on the…

quant-ph2026

Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks

Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel

We propose a Quantum Federated Autoencoder for Anomaly Detection, a framework that leverages quantum federated learning for efficient, secure, and distributed processing in IoT net…

cs.LG2026

In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis

Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel +2

The rapid expansion of the Internet of Things (IoT) and its integration with backbone networks have heightened the risk of security breaches. Traditional centralized approaches to…

quant-ph2026★ 1 cited

Efficient Time-Aware Partitioning of Quantum Circuits for Distributed Quantum Computing

Raymond P. H. Wu, Chathu Ranaweera, Sutharshan Rajasegarar +3

To overcome the physical limitations of scaling monolithic quantum computers, distributed quantum computing (DQC) interconnects multiple smaller-scale quantum processing units (QPU…