OUTCOMES

Outcomes created during the M4DI project

26 documents

Journal articles


Conference papers

  • Silvia Grosso, Samuele Fonio, Mirko Polato, Roberto Esposito, Sara Bouchenak. When Curvature Counts: Hyperbolic Geometry in Prototype-Based Image Classification. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2026, Bruges, Belgium. pp.511-516, ⟨10.14428/esann/2026.ES2026-214⟩. ⟨hal-05538796⟩
  • Hugo Barbot, David Causeur, Yuna Blum, Magali Richard. Inferring cellular heterogeneity with mixture models for DNA methylation rates (SMPGD 2026). SMPGD 2026, Jan 2026, Grenoble, France. ⟨hal-05489490⟩
  • Joanna Pautonnier, David Causeur, Pascal Roy. Améliorer la sélection et la précision des modèles de survie : une approche bayésienne spike and slab.. Journée AppliBUGS, Dec 2025, Lyon, France. ⟨hal-05568489⟩
  • Samuele Fonio, Silvia Grosso, Sara Bouchenak. Non-Euclidean Geometries for Prototype-Based Image Classification: a Reality Check. Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), Sep 2025, Torino, Italy. ⟨hal-05557672⟩
  • Margot Derouin, Amazigh Mokhtari, El Chérif Ibrahim, Pierre-Eric Lutz, Raoul Belzeaux, et al.. Leveraging multi-omics integration to uncover childhood traumarelated mechanisms in bipolar disorder. JOBIM 2025, Jul 2025, Bordeaux, France. pp.228-229. ⟨hal-05344676⟩
  • H Barbot, D Causeur, Y Blum, M Richard. Inferring cellular heterogeneity with mixture models for DNA methylation rates. Journées de Statistique, Jun 2025, Marseille, France. ⟨hal-05489385⟩
  • Hugo Barbot, David Causeur, Yuna Blum, Magali Richard. Inferring cellular heterogeneity with mixture models for DNA methylation rates. JdS, Jun 2025, Marseille, France. ⟨hal-05065027⟩
  • Hugo Barbot, David Causeur, Yuna Blum, Magali Richard. Multi-omic statistical inference of cellular heterogeneity – JOBIM 2024. JOBIM 2024, Jun 2024, Toulouse, France. ⟨hal-04664788⟩
  • Hugo Barbot, David Causeur, Yuna Blum, Magali Richard. Multi-omic statistical inference of cellular heterogeneity – JdS 2024. JdS 2024, May 2024, Bordeaux, France. ⟨hal-04664748⟩

Poster communications

  • Océane Carpentier, Yann Le Cunff, Emmanuelle Becker, Nicolas Jay, Aurélie Bannay. Definition of an ontology consistent Adjusted Rand Index (ARIoc). MosAIK PhD Day, Dec 2025, Nancy, France. 2025. ⟨hal-05569869⟩
  • Elouan Deffains, Hugo Barbot, David Causeur, Yuna Blum, Magali Richard. Evaluation of linear modeling assumptions in a simulation context for deconvolution of multi-omic data. Journée de Biologie In Silico de Rennes, Nov 2025, Rennes, France. . ⟨hal-05489405⟩
  • Florence Ghestem, Gaëlle Marenne, Emmanuelle Genin, Anne-Sophie Jannot, Anaïs Baudot, et al.. Knowledge graph to dissect genotype phenotype associations. IGES 2025 – Annual Meeting on International Genetic Epidemiology Society, Aug 2025, Cologne, Germany. 2025. ⟨hal-05333821⟩
  • Christophe Vroland, Rodrigo Pracana, Alice Lambolez, Pelin Sahlén, Masaki Kato, et al.. DNA replication timing and Copy Number Variations are confounders of ATAC-Seq and RNA-DNA interaction data. ISBM/ECCB 2025 – 33rd Conference on Intelligent Systems for Molecular Biology and 24th European Conference on Computational Biology, Jul 2025, Liverpool, United Kingdom. . ⟨hal-05162278v3⟩
  • Hugo Barbot, David Causeur, Yuna Blum, Magali Richard. Simulation of data-driven multi-omic benchmark data for cellular deconvolution methods evaluation. IGDR PhD symposium, Nov 2024, Rennes (Campus de Beaulieu), France. 2024. ⟨hal-04790951⟩
  • Hugo Barbot, David Causeur, Yuna Blum, Magali Richard. Multi-omic statistical inference of cellular heterogeneity – COBICA 2024. cobica2024 : Computational Biology of Cancer 2024, Mar 2024, Grenoble, France. ⟨hal-04664694⟩

Preprints, Working Papers

  • Nicolas Homberg, Lucie Lamothe, Elise Amblard, Hugo Barbot, Morgane Térézol, et al.. How to organise a scientific competition to benchmark methods and algorithms in computational biology?. 2026. ⟨hal-05445539v2⟩
  • Rahaf Ahmad, Michał Denkiewicz, Rishika Gupta, Sachin Gadakh, Jędrzej Kubica, et al.. AI for Computational Biology: Highlights from the first BioAI Hackathon at University of Warsaw. 2025. ⟨hal-05274112⟩
  • Siddharth Sabata, Jędrzej Kubica, Rishika Gupta, Lars Warren Ericson, Halimat Chisom Atanda, et al.. Addressing Background Genomic and Environmental Effects on Health through Accelerated Computing and Machine Learning: Results from the 2025 Hackathon at Carnegie Mellon University. 2025. ⟨hal-05274100⟩
  • Silvia Grosso, Nawel Benarba, Sara Bouchenak, Roberto Esposito, Mirko Polato. A Survey on Multimodal Federated Learning. 2025. ⟨hal-05366356v2⟩
  • Océane Cassan, Julien Raynal, Christophe Vroland, Kayoko Yasuzawa, Tsukasa Kouno, et al.. A genome-wide, machine learning-guided exploration of the cis-regulatory code involved in neuronal differentiation. 2025. ⟨hal-05069585⟩
  • Mathys Grapotte, Christophe Vroland, Diego Garrido-Martín, Alessio Vignoli, Lisa Calero, et al.. Evidence of distal regulations orchestrated by RNAs initiating at short tandem repeats. 2025. ⟨hal-05030164⟩

Lectures

  • Hugo Barbot. Reminder on hypothesis testing. Master. Rennes, France. 2025. ⟨hal-05065036⟩

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