Catégorie
Théorie des codes
Publications associées (1 000)
Towards Efficient Correction of Coconut Tree Detection Errors
Devis Tuia, Diego Michael Schibli
Coconut tree plantations are one of the main sources of income in several South Pacific countries. Thus, keeping track of the location of coconut trees is important for monitoring and post-disaster assessment. Although deep learning based object detectors ...
IEEE2022Mismatched Decoding Reliability Function at Zero Rate
We derive an upper bound on the reliability function of mismatched decoding for zero-rate codes. The bound is based on a result by Komlos that shows the existence of a subcode with certain symmetry properties. The bound is shown to coincide with the expurg ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022Healing plasma current ramp-up by nitrogen seeding in the full tungsten environment of WEST
Olivier Sauter, Federico Alberto Alfredo Felici, Simon Van Mulders
Achieving a successful plasma current ramp-up in a full tungsten tokamak can be challenging due to the large core radiation (and resulting low core temperature) that can be faced with this heavy metallic impurity if its relative concentration is too high. ...
IOP Publishing Ltd2022A Revisitation of Low-Rate Bounds on the Reliability Function of Discrete Memoryless Channels for List Decoding
We revise the proof of low-rate upper bounds on the reliability function of discrete memoryless channels for ordinary and list-decoding schemes, in particular Berlekamp and Blinovsky's zero-rate bound, as well as Blahut's bound for low rates. The available ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022A Sequence Repetition Node-Based Successive Cancellation List Decoder for 5G Polar Codes: Algorithm and Implementation
Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Andreas Toftegaard Kristensen, Yifei Shen, Yuqing Ren, Chuan Zhang
Due to the low-latency and high-reliability require-ments of 5G, low-complexity node-based successive cancellation list (SCL) decoding has received considerable attention for use in 5G communications systems. By identifying special constituent codes in the ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022Multi-layer State Evolution Under Random Convolutional Design
Florent Gérard Krzakala, Lenka Zdeborová
Signal recovery under generative neural network priors has emerged as a promising direction in statistical inference and computational imaging. Theoretical analysis of reconstruction algorithms under generative priors is, however, challenging. For generati ...
2022Neural Joint Space Implicit Signed Distance Functions [Data & Code]
These data files containg code sources for dataset creation & model learning (neural-jsdf.zip) and collected synthetic dataset of free & collided postures for robotic arm Franka (sdf_3m_full_mesh.mat). Follow the Readme.MD files to launch the code if neede ...
EPFL Infoscience2022On Verified Scala for STIX File System Embedded Code using Stainless
We present an approach for using formal methods in embedded systems and its evaluation on a case study. In our approach, the developers describe the system in a restricted subset of the high-level programming language Scala. We then use 1) a verification s ...
2022Verifiable Encodings for Secure Homomorphic Analytics
Jean-Pierre Hubaux, Sylvain Chatel, Apostolos Pyrgelis, Christian Louis Knabenhans
Homomorphic encryption, which enables the execution of arithmetic operations directly on ciphertexts, is a promising solution for protecting privacy of cloud-delegated computations on sensitive data. However, the correctness of the computation result is no ...
2022Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge
David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, Flavio Ponzina
The growing popularity of edge computing has fostered the development of diverse solutions to support Artificial Intelligence (AI) in energy-constrained devices. Nonetheless, comparatively few efforts have focused on the resiliency exhibited by AI workload ...
2022