EDBT 2026 Demo / reviewers in the wild / expert
Serge G. Vladut
dblp:71/3279
· DBLP profile ↗
11ranked-venue papers
3as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 8 · 2 first-authorSecurity and privacy · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
8 papers |
Coding theory · 99% Information theory · 1% | |
| Network and information security
1 paper |
Cryptographic primitives and cryptanalysis · 100% |
Topics — the 21 heaviest of 22, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes
locally recoverable codes |
0.7 | 2 | 2019 | Codes With Hierarchical Locality From Covering Maps of Curves · IEEE Trans. Inf. Theory 2019 Locally Recoverable Codes on Algebraic Curves · IEEE Trans. Inf. Theory 2017 |
Coding theory › error-correcting codes
algebraic geometry code |
0.4 | 5 | 2019 | Codes With Hierarchical Locality From Covering Maps of Curves · IEEE Trans. Inf. Theory 2019 A Note on Authentication Codes from Algebraic Geometry · IEEE Trans. Inf. Theory 1998 On the decoding of algebraic-geometric codes over Fq for q>=16 · IEEE Trans. Inf. Theory 1990 |
Coding theory › distributed storage › distributed storage codes › locally repairable codes
hierarchical locality |
0.4 | 1 | 2019 | Codes With Hierarchical Locality From Covering Maps of Curves · IEEE Trans. Inf. Theory 2019 |
Coding theory › error-correcting codes › coding bounds
asymptotic bounds |
0.3 | 2 | 2017 | Locally Recoverable Codes on Algebraic Curves · IEEE Trans. Inf. Theory 2017 Modular curves and codes with a polynomial construction · IEEE Trans. Inf. Theory 1984 |
Coding theory
algebraic curves |
0.3 | 1 | 2017 | Locally Recoverable Codes on Algebraic Curves · IEEE Trans. Inf. Theory 2017 |
Coding theory › error-correcting codes › block codes › linear code
automorphism group |
0.3 | 1 | 2017 | Locally Recoverable Codes on Algebraic Curves · IEEE Trans. Inf. Theory 2017 |
Coding theory › distributed storage › distributed storage codes
codes with availability |
0.3 | 1 | 2017 | Locally Recoverable Codes on Algebraic Curves · IEEE Trans. Inf. Theory 2017 |
Coding theory › error-correcting codes
erasure coding |
0.3 | 1 | 2017 | Locally Recoverable Codes on Algebraic Curves · IEEE Trans. Inf. Theory 2017 |
Coding theory › error-correcting codes › coding bounds › minimum distance bounds
gilbert-varshamov bound |
0.3 | 1 | 2017 | Locally Recoverable Codes on Algebraic Curves · IEEE Trans. Inf. Theory 2017 |
Coding theory › error-correcting codes
algebraic coding theory |
0.0 | 2 | 1995 | Geometric approach to higher weights · IEEE Trans. Inf. Theory 1995 The weight hierarchy of higher dimensional Hermitian codes · IEEE Trans. Inf. Theory 1994 |
Cryptographic primitives and cryptanalysis
message authentication codes |
0.0 | 1 | 1998 | A Note on Authentication Codes from Algebraic Geometry · IEEE Trans. Inf. Theory 1998 |
Information theory › information-theoretic security
authentication codes |
0.0 | 1 | 1998 | A Note on Authentication Codes from Algebraic Geometry · IEEE Trans. Inf. Theory 1998 |
Coding theory
code weight |
0.0 | 1 | 1995 | Geometric approach to higher weights · IEEE Trans. Inf. Theory 1995 |
Coding theory › error-correcting codes › decoding
decoding algorithms |
0.0 | 2 | 1990 | On the decoding of algebraic-geometric codes over Fq for q>=16 · IEEE Trans. Inf. Theory 1990 On the decoding of algebraic-geometric codes · IEEE Trans. Inf. Theory 1990 |
Coding theory
generalized hamming weights |
0.0 | 1 | 1994 | The weight hierarchy of higher dimensional Hermitian codes · IEEE Trans. Inf. Theory 1994 |
Coding theory › error-correcting codes › algebraic geometry code
hermitian codes |
0.0 | 1 | 1994 | The weight hierarchy of higher dimensional Hermitian codes · IEEE Trans. Inf. Theory 1994 |
Coding theory › error-correcting codes › block codes › linear code › code parameters
weight hierarchy |
0.0 | 1 | 1994 | The weight hierarchy of higher dimensional Hermitian codes · IEEE Trans. Inf. Theory 1994 |
Coding theory › error-correcting codes › block codes › linear code › code parameters
asymptotically good codes |
0.0 | 1 | 1990 | On the decoding of algebraic-geometric codes · IEEE Trans. Inf. Theory 1990 |
Coding theory
error-correcting codes |
0.0 | 1 | 1990 | On the decoding of algebraic-geometric codes · IEEE Trans. Inf. Theory 1990 |
Coding theory › error-correcting codes › algebraic geometry code
modular curve code |
0.0 | 1 | 1984 | Modular curves and codes with a polynomial construction · IEEE Trans. Inf. Theory 1984 |
Coding theory › error-correcting codes › algebraic geometry code
designed minimum distance |
0.0 | 1 | 1990 | On the decoding of algebraic-geometric codes over Fq for q>=16 · IEEE Trans. Inf. Theory 1990 |
Methods — techniques the papers use, named apart from their topics
fiber products · 0.4covering maps of curves · 0.4automorphism group · 0.3algebraic curve construction · 0.3algebraic geometry codes · 0.0projective systems over finite fields · 0.0polynomial decoding algorithm · 0.0polynomial decoding · 0.0polynomial construction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | On the Lattice Hadwiger Number of Superballs and Some Other Bodies
Serge G. Vladut |
Discret. Comput. Geom. | 1 |
| 2019 | Codes With Hierarchical Locality From Covering Maps of CurvesabstractLocally recoverable (LRC) codes provide ways of recovering erased coordinates of the codeword without having to access each of the remaining coordinates. A subfamily of LRC codes with hierarchical locality (H-LRC codes) provides added flexibility to the construction by introducing several tiers of recoverability for correcting different numbers of erasures. We present a general construction of codes with 2-level hierarchical locality from maps between algebraic curves and specialize it to several code families obtained from quotients of curves by a subgroup of the automorphism group, including rational, elliptic, Kummer, and Artin-Schreier curves. We further address the question of H-LRC codes with availability, and suggest a general construction of such codes from fiber products of curves. Detailed calculations of parameters for H-LRC codes with availability are performed for Reed-Solomon- and Hermitian-like code families. Finally, we construct asymptotically good families of H-LRC codes from curves related to the Garcia-Stichtenoth tower. Sean Ballentine, Alexander Barg, Serge G. Vladut |
IEEE Trans. Inf. Theory | 3 |
| 2017 | Locally Recoverable Codes on Algebraic CurvesabstractA code over a finite alphabet is called locally recoverable (LRC code) if every symbol in the encoding is a function of a small number (at most r) of other symbols of the codeword. In this paper, we introduce a construction of LRC codes on algebraic curves, extending a recent construction of the Reed-Solomon like codes with locality. We treat the following situations: local recovery of a single erasure, local recovery of multiple erasures, and codes with several disjoint recovery sets for every coordinate (the availability problem). For each of these three problems we describe a general construction of codes on curves and construct several families of LRC codes. We also describe a construction of codes with availability that relies on automorphism groups of curves. We also consider the asymptotic problem for the parameters of the LRC codes on curves. We show that the codes obtained from asymptotically maximal curves (for instance, Garcia-Stichtenoth towers) improve upon the asymptotic versions of the Gilbert-Varshamov bound for LRC codes. Alexander Barg, Itzhak Tamo, Serge G. Vladut |
IEEE Trans. Inf. Theory | 3 |
| 2015 | On the Doubly Sparse Compressed Sensing Problem
Gregory A. Kabatiansky, Serge G. Vladut, Cédric Tavernier |
IMACC | 2 |
| 2015 | Locally recoverable codes on algebraic curvesabstractA code over a finite alphabet is called locally recoverable (LRC code) if every symbol in the encoding is a function of a small number (at most r) other symbols. A family of linear LRC codes that generalize the classic construction of Reed-Solomon codes was constructed in a recent paper by I. Tamo and A. Barg (IEEE Trans. Inform. Theory, vol. 60, no. 8, 2014, pp. 4661-4676). In this paper we extend this construction to codes on algebraic curves. We give a general construction of LRC codes on curves and compute some examples, including asymptotically good families of codes derived from the Garcia-Stichtenoth towers. The local recovery procedure is performed by polynomial interpolation over r coordinates of the codevector. We also obtain a family of Hermitian codes with two disjoint recovering sets for every symbol of the codeword. Alexander Barg, Itzhak Tamo, Serge G. Vladut |
ISIT | 3 |
| 1998 | A Note on Authentication Codes from Algebraic GeometryabstractIn this note we show that one can ameliorate existing lower bounds for parameters of authentication codes using algebraic-geometry codes. Serge G. Vladut |
IEEE Trans. Inf. Theory | 1 |
| 1995 | Geometric approach to higher weightsabstractThe notion of higher (or generalized) weights of codes is just as natural as that of the classical Hamming weight. The authors adopt the geometric point of view and always treat the q-ary case. Some results and proofs being new, the main goal is to present a clear picture of what is known on the subject. Michael A. Tsfasman, Serge G. Vladut |
IEEE Trans. Inf. Theory | 2 |
| 1994 | The weight hierarchy of higher dimensional Hermitian codesabstractStudies a class of projective systems and linear codes corresponding to Hermitian varieties over finite fields. The weight hierarchy, also known as the set of generalized Hamming weights, of the code is calculated. The higher weight distribution is also found.> James W. P. Hirschfeld, Michael A. Tsfasman, Serge G. Vladut |
IEEE Trans. Inf. Theory | 3 |
| 1990 | On the decoding of algebraic-geometric codesabstractA decoding algorithm for algebraic-geometric codes arising from arbitrary algebraic curves is presented. This algorithm corrects any number of errors up to ((d-g-1)/2), where d is the designed distance of the code and g is the genus of the curve. The complexity of decoding equals sigma (n/sup 3/) where n is the length of the code. Also presented is a modification of this algorithm, which in the case of elliptic and hyperelliptic curves is able to correct ((d-1)/2) errors. It is shown that for some codes based on plane curves the modified decoding algorithm corrects approximately d/2-g/4 errors. Asymptotically good q-ary codes with a polynomial construction and a polynomial decoding algorithm (for q>or=361 on some segment their parameters are better than the Gilbert-Varshamov bound) are obtained. A family of asymptotically good binary codes with polynomial construction and polynomial decoding is also obtained, whose parameters are better than the Blokh-Zyablov bound on the whole interval 0> Alexei N. Skorobogatov, Serge G. Vladut |
IEEE Trans. Inf. Theory | 2 |
| 1990 | On the decoding of algebraic-geometric codes over Fq for q>=16abstractIt is proved that for algebraic-geometric codes on a curve over F/sub q/ for q>or=37 or on a curve of sufficiently large genus over F/sub q/ for q>or=16 there exists a polynomial decoding algorithm up to (d*-1)/2 errors, d* being the designed minimum distance.> Serge G. Vladut |
IEEE Trans. Inf. Theory | 1 |
| 1984 | Modular curves and codes with a polynomial constructionabstractIn this paper we studyq-ary codes arising from modular curvesX_{0}(11l)over GF(p^{2})and some binary codes attached to them. All these codes have a polynomial construction and have "good" asymptotic parameters: for certain values of the parameters theq-ary codes withq = p^{2} \geq 49are better than the Varshamov-Gilbert bound, and the binary codes are better than the Ziablov bounds. G. L. Katsman, Michael A. Tsfasman, Serge G. Vladut |
IEEE Trans. Inf. Theory | 3 |