976 citations
- Centre National de la Recherche ScientifiqueFR49 papers
- Technical University of DenmarkDK38 papers
- Aarhus UniversityDK29 papers
- University of CopenhagenDK23 papers
- Tokyo Institute of TechnologyJP19 papers
- University of ManchesterGB18 papers
- École Polytechnique Fédérale de LausanneCH17 papers
- University of OxfordGB16 papers
- Centre de Physique ThéoriqueFR14 papers
- East China Normal UniversityCN14 papers
- IMAR - Institutul de Matematică „Simion Stoilow” al Academiei RomâneRO14 papers
- Imperial College LondonGB14 papers
1,233 papers
Sensing Assisted Satellite Backhaul with FBL UL and Broadcast DL for Massive IoT
Tijana Devaja, Milica Petkovic, Israel Leyva-Mayorga +2
Massive Internet of Things (IoT) networks operate with short packets whose reliability is limited by finite block- length (FBL) effects, while remote deployments increasingly rely…
TERMon: Detecting Persistent Behavioral Threats in Edge AI via Hardware-Native Ternary Runtime Monitor
Arish Sateesan, Edlira Dushku
Edge AI accelerators are increasingly deployed in safety-critical environments, where model outputs may control physical actuators, make access-control decisions, or trigger alarms…
Bounds on the Posterior-to-Prior Ratios for Inclusion Belief under Bounded Differential Privacy
Jan Reiter Sørensen, Heidi Søgaard Christensen, Rasmus Rask Kragh Jørgensen +1
Differential privacy has become the standard for generating privacy-protected data releases. However, differential privacy does not translate intuitively to disclosure risk. In par…
Systematic Bias in Green Patent Classification: Silent Green and False Green
Hamid Bekamiri, Jan Auernhammer, Milad Abbasiharofteh +1
Research, policy, and capital rely on the Cooperative Patent Classification's Y02 tag to locate climate invention, yet whether Y02 measures what it is used to measure has never bee…
Adaptive Probabilistic Shielding by Learning MDPs for Safe Reinforcement Learning
Astrid Horn Brorholt, Maris F. L. Galesloot, Nils Jansen +2
Probabilistic shielding is a technique for safe reinforcement learning (RL). Typically, a static observer -- called the shield -- constrains the learning agent's actions to those f…
Fault detection on manifolds of nonlinear dynamical systems with dual autoencoders
Bulut Kuşkonmaz, Szymon Greś, Rafał Wiśniewski
Autoencoders are commonly used for unsupervised data-driven fault detection in nonlinear dynamical systems. Despite their widespread success and often favorable performance compare…