Teacher-Researcher
AAC
Algorithms, Learning and Computation
The main research axes of the department concern computational models and their robustness (from high-performance computing to quantum computing, including neural networks and distributed algorithms), processing architectures (graphs, distributed, synchronous or asynchronous processing), and methods (e.g., continuous, combinatorial, stochastic optimization; statistical learning and information theory). By construction, these research axes are the subject of collaborations with other departments, in particular Data Science and Fluid Mechanics-Energetics. The analysis and design of models and processes rely heavily on mathematical approaches (discrete and continuous, including probability, statistics and combinatorics) and statistical physics (in particular on the phase transition phenomena of complex systems), in conjunction with the LMO and CMAP (Maths and Maths. Appli), IJCLab (Physics), L2S (Signal Processing), as well as the LIX and the future LMF (Formal Methods) teams
Application areas include scientific computing (e.g., linear algebra, tensor calculus, numerical optimization, dynamical systems, simulation of quantum algorithms, computational mathematics and physics, systems of differential equations), distributed computing (e.g., cloud, scheduling, virtual currency, ubiquitous computing, autonomous robots, microbiological circuits), and data analysis.
Coordination
News
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Algorithmes Apprentissage et Calcul, Data Sciences
Prix de la meilleure contribution scientifique en STIC du plateau de Saclay 2022 attribué à Herilalaina Rakotoarison
Latest publications
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Article dans une revue
Amanda Pelegrin Candemil, Hugo Gabrielidis, Filippo Gatti, Benjamin Salmon, Matheus Oliveira, et al.. Diagnostic performance of artefact-reduced cone-beam CT images using a generative adversarial neural network. Expert Systems with Applications, In press, 128907, ⟨10.1016/j.eswa.2025.128907⟩. ⟨hal-05157692⟩
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Thèse
Nicolas Atienza. Towards Reliable ML : Leveraging Multi-Modal Representations, Information Bottleneck and Extreme Value Theory. Machine Learning [stat.ML]. Université Paris-Saclay, 2025. English. ⟨NNT : 2025UPASG025⟩. ⟨tel-05140441⟩
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Communication dans un congrès
Manon Blanc, Olivier Bournez. Quantifiying the robustness of dynamical systems. Relating time and space to length and precision. Computer Science Logic CSL’24, Feb 2024, Naples, Italy. pp.17:1-17:20, ⟨10.4230/lipics.csl.2024.17⟩. ⟨hal-04303119⟩
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Communication dans un congrès
Djamel Eddine Amir, Benjamin Hellouin de Menibus. Minimality and computability of languages of G-shifts. ICALP 2025, Aarhus University, Jul 2025, Aarhus, Denmark. ⟨hal-05117426⟩
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Article dans une revue
Pierre Fraigniaud, AmiArchitectures et modèles pour l'Interaction Paz, Sergio Rajsbaum. A speedup theorem for asynchronous computation with applications to consensus and approximate agreement. Distributed Computing, 2025, ⟨10.1007/s00446-025-00480-0⟩. ⟨hal-05114147⟩
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Pré-publication, Document de travail
Gabrielidis Hugo, Filippo Gatti, Vialle Stephane. Physics-Based Super-Resolved Simulation of 3D Elastic Wave Propagation Adopting Scalable Diffusion Transformer. 2025. ⟨hal-05044913⟩
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Logiciel
Pierre Thomas Froidevaux, Alexandre Blondin-Massé, Chiara Marmo, Jérémy Neveu, Jean Privat, et al.. Travo. 2025, ⟨swh:1:dir:25c53be9cb372dca46dc311c114c9d961127225b;origin=https://gitlab.com/travo-cr/travo;visit=swh:1:snp:5f0faa62d3619f576a8a041c609ac66820f54a80;anchor=swh:1:rev:fd9302aab27cb93dc1ef24b3ab13a3da163564ca⟩. ⟨hal-05030605⟩
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Pré-publication, Document de travail
Felipe V. Furquim, Daniel Cordeiro, Valentin Dardilhac, Johanne Cohen. Characterizing Strategyproofness Through Score Functions in Voting Mechanisms. 2025. ⟨hal-05040764⟩
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Article dans une revue, Article dans une revue
Julien Rauch, Damien Rontani, Stéphane Vialle. Data clustering on hybrid classical-quantum NISQ architecture with generative-based variational and parallel algorithms. Journal of Systems Architecture, In press, Special Issue on Architecture of Computing Systems Conference 2024, 165, pp.103431. ⟨10.1016/j.sysarc.2025.103431⟩. ⟨hal-05040633⟩
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Article dans une revue, Article dans une revue
Guanlin He, Stéphane Vialle, Marc Baboulin. Generating Sparse Matrices for Large-scale Spectral Clustering on a Single GPU. International Journal of Parallel Programming, In press, 53 (4), pp.22. ⟨10.1007/s10766-025-00799-y⟩. ⟨hal-05040711⟩
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Pré-publication, Document de travail
Benjamin Hellouin de Menibus, Ville Salo, Ilkka Törmä. Symbol Frequencies in Surjective Cellular Automata. 2025. ⟨hal-05026614⟩
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Pré-publication, Document de travail
Niccolò Perrone, Fanny Lehmann, Hugo Gabrielidis, Stefania Fresca, Filippo Gatti. Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response. 2025. ⟨hal-05016980⟩
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Thèse
Fabricio Cravo. Design of Distributed Biological Circuits. Bioinformatics [q-bio.QM]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG059⟩. ⟨tel-05007253⟩
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Pré-publication, Document de travail
Marc Baboulin, Oguz Kaya, Theo Mary, Matthieu Robeyns. Numerical stability of tree tensor network operations, and a stable rounding algorithm. 2025. ⟨hal-04996127⟩
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Thèse
Emmanuel Goutierre. Machine learning-based particle accelerator modeling. Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG106⟩. ⟨tel-04995631⟩
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Pré-publication, Document de travail
Christophe Hohlweg, Viviane Pons. A conjecture on descents, inversions and the weak order. 2025. ⟨hal-04966542⟩
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Communication dans un congrès
Benjamin Hellouin de Menibus, Pacôme Perrotin. Subshifts Defined by Nondeterministic and Alternating Plane-walking Automata. 42nd International Symposium on Theoretical Aspects of Computer Science (STACS 2025), Mar 2025, Iena, Germany. pp.56, ⟨10.4230/LIPIcs.STACS.2025.56⟩. ⟨hal-04951292⟩
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Pré-publication, Document de travail
Alex B. Grilo, AmiArchitectures et modèles pour l'Interaction Paz, Mor Perry. Distributed Non-Interactive Zero-Knowledge Proofs. 2025. ⟨hal-04942069⟩
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Communication dans un congrès
Nicolas Atienza, Christophe Labreuche, Johanne Cohen, Michèle Sebag. Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach. ICLR 2025 – The Thirteenth International Conference on Learning Representations, Apr 2025, Singapore (SG), Singapore. ⟨hal-04922382⟩
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Pré-publication, Document de travail
Jean-Philippe Chancelier, Michel de Lara, Antoine Deza, Lionel Pournin. Geometry of Sparsity-Inducing Norms. 2025. ⟨hal-04886852⟩
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Thèse
Matthieu Robeyns. Mixed precision algorithms for low-rank matrix and tensor approximations. Computer Science [cs]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG095⟩. ⟨tel-04885863⟩
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Pré-publication, Document de travail
Johanne Cohen, Laurence Pilard, Jonas Sénizergues. Autostabilizing Minimal Clique Decomposition with Byzantine Faults tolerance. 2025. ⟨hal-04872001⟩
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Article dans une revue
Benjamin Hellouin de Menibus, Mathieu Sablik. Characterisation of sets of limit measures of a cellular automaton iterated on a random configuration. Ergodic Theory and Dynamical Systems, 2016, 38 (2), pp.601-650. ⟨10.1017/etds.2016.46⟩. ⟨hal-01299001⟩
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Communication dans un congrès
Nathalie Aubrun, Julien Esnay, Mathieu Sablik. Domino Problem Under Horizontal Constraints. STACS 2020 37th International Symposium on Theoretical Aspects of Computer Science, 2020, Montpellier, France. ⟨10.4230/LIPIcs.STACS.2020.26⟩. ⟨hal-02380657⟩
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Pré-publication, Document de travail
Stijn Cambie, François Dross, Kolja Knauer, Xuan Hoang La, Petru Valicov. Partitions of planar (oriented) graphs into a connected acyclic and an independent set. 2024. ⟨hal-04840861⟩
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Communication dans un congrès
Brice Chichereau, Stéphane Vialle, Patrick Carribault. Fully integrated quantum method for classical register allocation in LLVM. WIHPQC 2024 – International Workshop on Integrating High-Performance and Quantum Computing and QXE24 – IEEE Quantum Week 2024, Sep 2024, Montréal, Canada. ⟨10.1109/QCE60285.2024.10295⟩. ⟨hal-04839424⟩
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Pré-publication, Document de travail
Jȩdrzej Hodor, Xuan Hoang La, Piotr Micek, Clément Rambaud. Centered colorings in minor-closed graph classes. 2024. ⟨hal-04819300⟩
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Pré-publication, Document de travail
Jędrzej Hodor, Xuan Hoang La, Piotr Micek, Clément Rambaud. Quickly excluding an apex-forest. 2024. ⟨hal-04819247⟩
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Communication dans un congrès, Communication dans un congrès
Jędrzej Hodor, Xuan Hoang La, Piotr Micek, Clément Rambaud. Weak coloring numbers of minor-closed graph classes. ACM-SIAM Symposium on Discrete Algorithms (SODA25), Jan 2025, New Orleans, United States. pp.3325-3334, ⟨10.1137/1.9781611978322.107⟩. ⟨hal-04819269⟩
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Communication dans un congrès
Julien Rauch, Brice Chichereau, Stéphane Vialle, Patrick Carribault, Damien Rontani. Investigating parallel execution of quantum Machine Learning circuits on superconducting hardware. QSET 2024 – 4th International Workshop on Quantum Software Engineering and Technology IEEE Quantum Week 2024 (QCE’24), Sep 2024, Montréal, Canada. ⟨10.1109/QCE60285.2024.10278⟩. ⟨hal-04812905⟩