1 citations · 1 across the 8 of their papers we have counts for
10 papers
Opportunistic Conditional Entropy Coding with Frozen Analysis and Synthesis Transforms
Vincent Corlay, Maxime Rousselot, Andriy Enttsel
In many delivery settings, a receiver may already hold a lower-quality or lower-resolution representation of an image, obtained through an independent transmission. Conventional co…
How Many Posterior Samples? Calibrated Stopping for Adaptive Sensing
Vincent Corlay, Andriy Enttsel
In classification-oriented adaptive sensing, posterior samples characterize uncertainty at the current measurement state and can serve two roles: they may guide the next sensing di…
Classification-oriented adaptive sensing via posterior sampling
Andriy Enttsel, Maxime Rousselot, Vincent Corlay
Recent advances in diffusion models have enabled high-performance, instance-adaptive compressed sensing through posterior sampling, without task-specific policy training. Existing…
SVD-Based Typicality Maps for Out-of-Distribution Detection in Vision Transformers
Aldo Sean Sartor, Leandro de Souza Rosa, Andriy Enttsel +2
We present a method for analyzing the internal representations of Vision Transformers (ViTs) exploiting the geometry of their learned parameters. Each affine layer's weight matrix…
Adaptive Transform Coding for Semantic Compression
Andriy Enttsel, Vincent Corlay
Visual data compression is shifting from human-centered reconstruction to machine-oriented representation coding. In this setting, an image is often mapped to a compact semantic em…
On-board Telemetry Monitoring in Autonomous Satellites: Challenges and Opportunities
Lorenzo Capelli, Leandro de Souza Rosa, Maurizio De Tommasi +8
The increasing autonomy of spacecraft demands fault-detection systems that are both reliable and explainable. This work addresses eXplainable Artificial Intelligence for onboard Fa…
Model-Aware Rate-Distortion Limits for Task-Oriented Source Coding
Andriy Enttsel, Vincent Corlay
Task-Oriented Source Coding (TOSC) has emerged as a paradigm for efficient visual data communication in machine-centric inference systems, where bitrate, latency, and task performa…
RDD: Pareto Analysis of the Rate-Distortion-Distinguishability Trade-off
Andriy Enttsel, Alex Marchioni, Andrea Zanellini +3
Extensive monitoring systems generate data that is usually compressed for network transmission. This compressed data might then be processed in the cloud for tasks such as anomaly…
Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off
Andriy Enttsel, Weichen Wang, Mauro Mangia +2
Joint source-channel coding is a compelling paradigm when low-latency and low-complexity communication is required. This work proposes a theoretical framework that integrates class…
Anomaly Detection based on Compressed Data: an Information Theoretic Characterization
Alex Marchioni, Andriy Enttsel, Mauro Mangia +2
We analyze the effect of lossy compression in the processing of sensor signals that must be used to detect anomalous events in the system under observation. The intuitive relations…