Andriy Enttsel

Orcid: 0000-0003-1010-3858

According to our database1, Andriy Enttsel authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Adaptive Transform Coding for Semantic Compression.
CoRR, April, 2026

On-board Telemetry Monitoring in Autonomous Satellites: Challenges and Opportunities.
CoRR, April, 2026

Model-Aware Rate-Distortion Limits for Task-Oriented Source Coding.
CoRR, February, 2026

2025
On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

RDD: Pareto Analysis of the Rate-Distortion-Distinguishability Trade-off.
CoRR, September, 2025

Anomaly Detection Via Re-Encoding in Autoencoder-Based Compression for Time Series Monitoring Applications.
Proceedings of the 33rd European Signal Processing Conference, 2025

2024
A General Framework for the Assessment of Detectors of Anomalies in Time Series.
IEEE Trans. Ind. Informatics, October, 2024

Anomaly Detection Based on Compressed Data: An Information Theoretic Characterization.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024

Anomaly Detection-Reconstruction Trade-Off in Autoencoder-Based Compression.
Proceedings of the 32nd European Signal Processing Conference, 2024

Enhancing Anomaly Detection with Entropy Regularization in Autoencoder-based Lightweight Compression.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
Autoencoder-Based Features Extraction for the Health Monitoring in the Space domain.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Structured Pruning in Deep Neural Networks with Trainable Probability Masks.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Second-Order Statistic Deviation to Model Anomalies in the Design of Unsupervised Detectors.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

Training Binary Layers by Self-Shrinking of Sigmoid Slope: Application to Fast MRI Acquisition.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022


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