Publications
Journal Papers (Peer-Reviewed)
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Factoring sparse polynomials fast. Journal of Complexity 88 (2025) 101934. preprint
Alexander Demin and Joris van der Hoeven (alphabetical order). -
Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming. Reviews in Physics 13 (2025) 100120. preprint
Max Aehle, Lorenzo Arsini, and 28 others, including Alexander Demin. -
Exact hierarchical reductions of dynamical models via linear transformations. Communications in Nonlinear Science and Numerical Simulation 131 (2024) 107816. preprint
Alexander Demin, Elizaveta Demitraki, and Gleb Pogudin (alphabetical order).
Conference Papers (Peer-Reviewed)
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Groebner.jl: Fast Gröbner Tracing in Julia. Proceedings of the International Congress on Mathematical Software, 2026.
Alexander Demin. -
Fast Rational Univariate Representation via Gaussian Elimination. Proceedings of the International Congress on Mathematical Software, 2026.
Alexander Demin and Fabrice Rouillier. -
Some Computational Tools for Solving a Selection of Problems in Control Theory. IFAC Symposium on System Structure and Control, IFAC-PapersOnLine 59(12), pp. 73-78, 2025. preprint
Alexander Demin, Christina Katsamaki, and Fabrice Rouillier. -
F5: A REDUCE Package for Signature-based Groebner Basis Computation. Computer Algebra in Scientific Computing 2022. preprint
Alexander Demin, Hamid Rahkooy, and Thomas Sturm.
Other Publications (Peer-Reviewed)
- LikelihoodProfiler.jl: Unified profile-likelihood workflows for identifiability and confidence intervals. Journal of Open Source Software 11(117) (2026) 9501.
Ivan Borisov, Alexander Demin, and Evgeny Metelkin.
Preprints and Research Reports
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Simple generators of rational function fields. preprint, 2026.
Alexander Demin and Gleb Pogudin. -
Reading Rational Univariate Representations on lexicographic Groebner bases. preprint, 2024.
Alexander Demin, Fabrice Rouillier, and Joao Ruiz (alphabetical order). -
Groebner.jl: A package for Groebner bases computations in Julia. preprint, 2024.
Alexander Demin and Shashi Gowda. -
A Semi-supervised Learning Method for the Search of Rare Processes in LHC Data. Report 2.1 of INSIGHTS ITN to European Commission, 2022.
Hevjin Yarar, Alexander Demin, Tommaso Dorigo, Luca Quagliarella, and Andrey Ustyuzhanin.