• 
  Santiago Velasco-Forero. Can Generalised Divergences Help for Invariant Neural Networks?. Geometric Science of Information, 14071, Springer Nature Switzerland, pp.82-90, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-38271-0_9⟩. ⟨hal-04303522⟩
• 
  Benjamin Maurel, Samy Blusseau, Santiago Velasco-Forero, Teodora Petrisor. Roto-translation Equivariant YOLO for Aerial Images. NeurIPS workshop on Symmetry and Geometry in Neural Representations, Dec 2023, New-Orleans, Louisiana, United States. ⟨hal-04300007⟩
• 
  Michel Bornert, Jean-Marc Chaix, Pascal Doumalin, Jean-Christophe Dupré, Thierry Fournel, et al.. Mesure tridimensionnelle de champs cinématiques par imagerie volumique pour l'analyse des matériaux et des structures. Instrumentation, Mesure, Métrologie, 2004, 3-4, pp.43-88. ⟨hal-00106284⟩
• 
  Mehran Mohammadi, Santiago Velasco-Forero, François Willot, Mateus Sangalli, Thomas Walter, et al.. Choquet Capacity networks for random point process classification. 2023. ⟨hal-04250560⟩
• 
  Tarek Zenati. Caractérisation des propriétés physico-chimiques de surfaces d'acier par imagerie hyperspectrale. Matériaux. Université Paris sciences et lettres, 2023. Français. ⟨NNT : 2023UPSLM007⟩. ⟨tel-04249456⟩
• 
  Romain Vo, Julie Escoda, Caroline Vienne, Adrien Stolidi, Etienne Decencière. Neural fields for sparse-view 3D X-ray imaging: preliminary work. ORASIS 2023 - journées francophones des jeunes chercheurs en vision par ordinateur, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France. ⟨hal-04219565⟩
• 
  Roblex Nana, Claude Tadonki, Petr Dokládal, Youssef Mesri. Energy Concerns with HPC Systems and Applications. 2023. ⟨hal-04213338⟩
• 
  Giulia Ferri, Severine Humbert, Mathieu Digne, Maxime Moreaud, Jean-Marc Schweitzer. Boehmite agglomeration through experimental and model approaches: From colloidal system to porous solid. Chemical Engineering Journal Advances, 2023, 14, pp.100497. ⟨10.1016/j.ceja.2023.100497⟩. ⟨hal-04186758⟩
• 
  Samy Blusseau, Élodie Puybareau. Morphologie Mathématique et traitement d'images. Laurent Fuchs (éd.). Informatique Mathématique Une photographie en 2023, CNRS, Chapitre 3, pp. 87 --131, 2023, CNRS Alpha. ⟨hal-04148876⟩
• 
  Roblex Nana Tchakoute, Claude Tadonki, Petr Dokládal, Youssef Mesri. CARBONE-AWARE HIGH-PERFORMANCE ARTIFICIAL INTELLIGENCE. The Transition Institute 1.5 : : Les enjeux sécuritaires des changements climatiques-, Mar 2023, Paris, France. ⟨hal-04143279⟩
• 
  R. Benton Metcalf, M. Meneghetti, Camille Avestruz, Fabio Bellagamba, Clécio R. Bom, et al.. The Strong Gravitational Lens Finding Challenge. Astron.Astrophys., 2019, 625, pp.A119. ⟨10.1051/0004-6361/201832797⟩. ⟨hal-01737876⟩
• 
  Zeliang Su, Etienne Decencière, Tuan-Tu Nguyen, Kaoutar El-Amiry, Vincent de Andrade, et al.. Artificial neural network approach for multiphase segmentation of battery electrode nano-CT images. npj Computational Materials, 2022, 8 (1), pp.30. ⟨10.1038/s41524-022-00709-7⟩. ⟨hal-03595111⟩
• 
  Valentin Penaud--Polge, Santiago Velasco-Forero, Jesus Angulo. GenHarris-ResNet: A Rotation Invariant Neural Network Based on Elementary Symmetric Polynomials. Scale Space and Variational Methods in Computer Vision, May 2023, Santa Margherita di Pula, Italy. pp.149-161, ⟨10.1007/978-3-031-31975-4_12⟩. ⟨hal-04117649⟩
• 
  Martin Bauw. One-class classification for low resolution targets discrimination with limited supervision in pulse Doppler radars. Artificial Intelligence [cs.AI]. Université Paris sciences et lettres, 2023. English. ⟨NNT : 2023UPSLM005⟩. ⟨tel-04106703⟩
• 
  Ana-Maria Pena, Etienne Decencière, Sébastien Brizion, Peggy Sextius, Serge Koudoro, et al.. In vivo melanin 3D quantification and z-epidermal distribution by multiphoton FLIM, phasor and Pseudo-FLIM analyses. Scientific Reports, 2022, 12 (1), pp.1642. ⟨10.1038/s41598-021-03114-0⟩. ⟨hal-04075282⟩
• 
  Mateus Sangalli. Equivariant Deep Learning Based on Scale-Spaces and Moving Frames. Artificial Intelligence [cs.AI]. Université Paris sciences et lettres, 2022. English. ⟨NNT : 2022UPSLM073⟩. ⟨tel-04087166⟩
• 
  Rodrigo Rill-García, Eva Dokladalova, Petr Dokládal, Jean-François Caron, Romain Mesnil, et al.. Inline monitoring of 3D concrete printing using computer vision. Additive Manufacturing, 2022, 60, pp.103175. ⟨10.1016/j.addma.2022.103175⟩. ⟨hal-04078406⟩
• 
  Mateus Sangalli. Equivariant Deep Learning Based on Scale-Spaces and Moving Frames. Artificial Intelligence [cs.AI]. Université Paris sciences et lettres, 2022. English. ⟨NNT : 2022UPSLM073⟩. ⟨tel-04069360⟩
• 
  Guillaume Noyel, Jesus Angulo, Dominique Jeulin. Segmentations d'Images Hyperspectrales Par Morphologie Mathématique. Ecole d'Hiver d'imagerie Numérique Couleur, Jan 2007, Poitiers, France. ⟨hal-04062907⟩
• 
  Tristan Lazard, Marvin Lerousseau, Etienne Decencière, Thomas Walter. Giga-SSL: Self-Supervised Learning for Gigapixel Images. 2023. ⟨hal-04030020⟩

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