3 citations · 6 across the 6 of their papers we have counts for
6 papers
Asymmetric Communication: Large Language Models and Language Games
Enzo Fenoglio
Contemporary AI discourse attributes to language models properties they cannot bear: general intelligence as substrate-independent cognition, hallucination as cognitive failure, ag…
Auditable Session Admission for Cross-Silo Federated Learning
Enzo Fenoglio, Philip Treleaven
Cross-silo federated learning keeps raw data local, but deployments frequently stall on a practical bottleneck when deciding who may invoke which session-scoped operations across o…
Federated Computing as Code (FCaC): Sovereignty-aware Systems by Design
Enzo Fenoglio, Philip Treleaven
Federated computing (FC) enables collaborative computation such as machine learning, analytics, or data processing across distributed organizations keeping raw data local. Built on…
Improving Deep Models of Person Re-identification for Cross-Dataset Usage
Sergey Rodionov, Alexey Potapov, Hugo Latapie +2
Person re-identification (Re-ID) is the task of matching humans across cameras with non-overlapping views that has important applications in visual surveillance. Like other compute…
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning
Alexey Potapov, Sergey Rodionov, Hugo Latapie +1
Cross-dataset transfer learning is an important problem in person re-identification (Re-ID). Unfortunately, not too many deep transfer Re-ID models exist for realistic settings of…
Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures
Alexey Potapov, Innokentii Zhdanov, Oleg Scherbakov +3
Image and video retrieval by their semantic content has been an important and challenging task for years, because it ultimately requires bridging the symbolic/subsymbolic gap. Rece…