Research

Publications

E. Guidi, T. Moins & J.-B. Camps. “Using Citations to Estimate the Richness of Lost Literary Heritage: the case of Latin Archaic Poetry.” Anthology of Computers and the Humanities, 2027.
T. Moins, D. Conceicao, M. Garnier, V. Modolo, C. Vermaas & J.-B. Camps. “Robust Rhymes or Stable Stresses? Testing Stability and Discriminativeness of Stylometric Features.” Anthology of Computers and the Humanities, 2027.

T. Moins, B. Hensley, F. Cafiero, J.-B. Camps, L. Conte, E. Guidi, K. Kapitan, C. Macedo, P. Peratello, C. Vermaas, et al. “MEDUSA: A Curriculum-Based Vision-Language Framework for Multilingual Medieval Handwritten Text Recognition.” 8th International Workshop on Historical Document Imaging and Processing (HIP’26), 2026. (PDF)
E. Guidi, T. Moins & J.-B. Camps. “Transmission and Survival of Iberian Patristic Texts (3rd–5th Centuries).” Anthology of Computers and the Humanities, 3:589–607, 2025. (PDF)
T. Moins, J. Arbel, A. Dutfoy & S. Girard. “On the use of a local R-hat to improve MCMC convergence diagnostic” Bayesian Analysis, 20:131–156, 2025. (PDF, Online appendix, Code)
T. Moins, J. Arbel, S. Girard & A. Dutfoy. “Reparameterization of extreme value framework for improved Bayesian workflow” Computational Statistics & Data Analysis, 187:107807, 2023. (PDF, Code)
T. Moins, J. Arbel, A. Dutfoy & S. Girard. Contributed discussion of “Rank-Normalization, Folding, and Localization: An Improved R-hat for Assessing Convergence of MCMC” by Vehtari et al. Bayesian Analysis, 2021. (PDF)
T. Moins, D. Aloise & S. J. Blanchard. “RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues”. Fourteenth ACM Conference on Recommender Systems (RecSys ‘20), 2020. (Link, PDF, HTML)

V. Modolo, T. Moins, M. Bizais-Lillig, C. Vermaas, J.-B. Camps & M. Garnier. “Robust Rhymes or Stable Stresses? Finding the Authorial Features Most Resilient to Variation.” Computational Cultural Science Workshop, 2026. (Booklet)
J.-B. Camps, K. Christensen, U. Godreau & T. Moins. “One tree to Yule them all? Reflexions on intertextuality and text transmission.” Alliance of Digital Humanities Organizations international conference (DH 2025). (PDF)
J.-B. Camps, F. Cafiero, P. Chaumet-Riffaud, D. Conceicao, U. Godreau, É. Guidi, A. Lionnet, T. Moins, P.-A. Nistor & B. Salvati. “Style in Eight Syllables: Metric Annotation and Stylometry of Chrétien de Troyes and Contemporaries.” Digital Humanities Benelux 2025. (PDF)
T. Moins, J. Arbel, A. Dutfoy & S. Girard. “A local version of R-hat for MCMC convergence diagnostic.” 53èmes Journées de Statistique de la SFdS (JDS 2022). (PDF)
T. Moins, J. Arbel, A. Dutfoy & S. Girard. “On reparameterisations of the Poisson process model for extremes in a Bayesian framework.” 52èmes Journées de Statistique de la SFdS (JDS 2021). (PDF)

CHR 2025, Invited Talk: “Transmission and Survival of Iberian Patristic texts (3rd–5th Centuries).” Jointly with E. Guidi. (Link)
CHR 2025, Poster: “Why Do Older Books Survive (Sometimes)? Modelling the Time Distribution of Manuscripts with a Birth-Death Approach.” (Link)
DH 2025, Contributed Talk: “One tree to Yule them all? Reflexions on intertextuality and text transmission.” Jointly with J.-B. Camps, K. Christensen & U. Godreau. (Link)
DH Benelux 2025, Contributed Talk: “Style in Eight Syllables: Metric Annotation and Stylometry of Chrétien de Troyes and Contemporaries.” Jointly with J.-B. Camps and co-authors. (Link)
Invited Seminar: Evolution and Social Cognition Team at Institut Jean-Nicod: “Are fictions more derivative or innovative? An experiment based on European Medieval Literature” Jointly with J.-B. Camps, U. Godreau and K. Christensen.

EVA 2023, Invited Talk: “Reparameterization of extreme value framework for improved Bayesian workflow” (Link)
Journée AppliBUGS, Invited Talk: “Reparameterization of extreme value framework for improved Bayesian workflow” (Link)
Invited Seminar: MAP5 - Mathématiques Appliquées à Paris 5: “Reparameterization of extreme value framework for improved Bayesian workflow” (Link)

CMStats 2022, Invited Talk: “On the use of a local R-hat to improve MCMC convergence diagnostic” (Link)
Invited Seminar: Laboratoire de Mathématiques de Besançon (Université de Franche-Comté): “Reparameterization of extreme value framework for improved Bayesian workflow”
Energy Forecasting Innovation Conference, Invited Talk: “On the use of a local R-hat to improve MCMC convergence diagnostic” (Link)
One World YoungStatS webinar, Invited Talk: “On the use of a local R-hat to improve MCMC convergence diagnostic” (Link, Slides)
JDS 2022, Communication & Contributed Talk: “On the use of a local R-hat to improve MCMC convergence diagnostic” (Link, PDF)
BAYSM 2022, Poster: “On the use of a local R-hat to improve MCMC convergence diagnostic” (Link)
ISBA 2022, Poster: “On the use of a local R-hat to improve MCMC convergence diagnostic” (Link)

CMStats 2021, Invited Talk: “A Bayesian Framework for Poisson Process Characterization of Extremes with Uninformative Prior” (Link)
End-to-end Bayesian learning, Poster: “Improving MCMC convergence diagnostic with a local version of R-hat” (Link, Poster)
BayesComp-ISBA, Poster: “Improving MCMC convergence diagnostic with a local version of R-hat” (Link, Poster, Video)
ISBA 2021, Contributed Talk: “A Bayesian Framework for Poisson Process Characterization of Extremes with Uninformative Prior” (Link, Slides)
JDS 2021, Communication & Contributed Talk: “On reparameterisations of the Poisson process model for extremes in a Bayesian framework” (Link, PDF)

T. Moins. “Bayesian computational methods for estimating extreme quantiles from environmental data”. Thèse de doctorat, Université Grenoble Alpes, 2023 (PDF)
T. Moins. “Modèle hybride combinant réseau de neurones convolutifs et modèle basé sur le choix pour la recommandation de sièges”. Mémoire de maîtrise recherche, Polytechnique Montréal, 2020 (PDF)
T. Moins, F. Forbes, V. Stoppin-Mellet. “Détection de signaux émis par des protéines lors d’une expérience de localisation de particules uniques” Internship, Inria Grenoble, 2018 (PDF)

Brenna Hensley (2026). Master 2 internship, École nationale des chartes, co-advised with Jean-Baptiste Camps. “Document-level embeddings in vision-language models for historical handwritten text recognition”
Khalil Leachouri (2021). Master 1 internship, co-advised with Stéphane Girard and Julyan Arbel. “MCMC convergence diagnostic: experimental results on a local version of R-hat”

Member of the PSL CultureLab research programme
Selection committee for applications to the Master in Digital Humanities, École nationale des chartes (2026)
Organisation of the junior sessions of the ISBA 2021 World Meeting mirror (Luminy)