Paul-Henry Cournède

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 30

Top Topics

Temporal Analysis

Bayesian Estimation

Multiple Instance Learning

Top Venues

Comput. Stat. Data Anal.

PLoS Comput. Biol.

Publications

Paul Dubois, Paul-Henry Cournède, Nikos Paragios, Pascal Fenoglietto
Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning. AIME (1) (2024)
Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
Causal Contrastive Learning for Counterfactual Regression Over Time. CoRR (2024)
Lily Monnier, Paul-Henry Cournède
A novel batch-effect correction method for scRNA-seq data based on Adversarial Information Factorization. PLoS Comput. Biol. 20 (2) (2024)
Paolo Ballarini, Mahmoud Bentriou, Paul-Henry Cournède
A Formal Approach for Tuning Stochastic Oscillators. CoRR (2024)
Leo Fillioux, Emilie Gontran, Jérôme Cartry, Jacques RR Mathieu, Sabrina Bedja, Alice Boilève, Paul-Henry Cournède, Fanny Jaulin, Stergios Christodoulidis, Maria Vakalopoulou
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. CoRR (2023)
Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data. CoRR (2023)
Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis
Structured State Space Models for Multiple Instance Learning in Digital Pathology. CoRR (2023)
Leo Fillioux, Emilie Gontran, Jérôme Cartry, Jacques RR Mathieu, Sabrina Bedja, Alice Boilève, Paul-Henry Cournède, Fanny Jaulin, Stergios Christodoulidis, Maria Vakalopoulou
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. ICCV (Workshops) (2023)
Hakim Benkirane, Yoann Pradat, Stefan Michiels, Paul-Henry Cournède
CustOmics: A versatile deep-learning based strategy for multi-omics integration. PLoS Comput. Biol. 19 (3) (2023)
Quentin Blampey, Nadège Bercovici, Charles-Antoine Dutertre, Isabelle Pic, Joana Mourato Ribeiro, Fabrice André, Paul-Henry Cournède
A biology-driven deep generative model for cell-type annotation in cytometry. Briefings Bioinform. 24 (5) (2023)
Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis
Structured State Space Models for Multiple Instance Learning in Digital Pathology. MICCAI (1) (2023)
Paolo Ballarini, Mahmoud Bentriou, Paul-Henry Cournède
A Formal Approach for Tuning Stochastic Oscillators. CMSB (2023)
Gautier Viaud, Prasanna Mayilvahanan, Paul-Henry Cournède
Representation Learning for the Clustering of Multi-Omics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Hakim Benkirane, Yoann Pradat, Stefan Michiels, Paul-Henry Cournède
CustOmics: A versatile deep-learning based strategy for multi-omics integration. CoRR (2022)
Quentin Blampey, Nadège Bercovici, Charles-Antoine Dutertre, Isabelle Pic, Fabrice André, Joana Mourato Ribeiro, Paul-Henry Cournède
Interpretable cytometry cell-type annotation with flow-based deep generative models. CoRR (2022)
Hakim Benkirane, Maria Vakalopoulou, Stergios Christodoulidis, Ingrid-Judith Garberis, Stefan Michiels, Paul-Henry Cournède
Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis. ML4H@NeurIPS (2022)
Martin Charachon, Paul-Henry Cournède, Céline Hudelot, Roberto Ardon
Leveraging conditional generative models in a general explanation framework of classifier decisions. Future Gener. Comput. Syst. 132 (2022)
Martin Charachon, Paul-Henry Cournède, Céline Hudelot, Roberto Ardon
Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions. iMIMIC/TDA4MedicalData@MICCAI (2021)
Mahmoud Bentriou, Paolo Ballarini, Paul-Henry Cournède
Automaton-ABC: A statistical method to estimate the probability of spatio-temporal properties for parametric Markov population models. Theor. Comput. Sci. 893 (2021)
Martin Charachon, Paul-Henry Cournède, Céline Hudelot, Roberto Ardon
Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions. CoRR (2021)
Mathilde Sautreuil, Sarah Lemler, Paul-Henry Cournède
Neural Networks to Predict Survival from RNA-seq Data in Oncology. CMSB (2021)
Martin Charachon, Céline Hudelot, Paul-Henry Cournède, Camille Ruppli, Roberto Ardon
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. CoRR (2020)
Martin Charachon, Céline Hudelot, Paul-Henry Cournède, Camille Ruppli, Roberto Ardon
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. ICPR (2020)
Elvire Roblin, Paul-Henry Cournède, Stefan Michiels
On the Use of Neural Networks with Censored Time-to-Event Data. ISMCO (2020)
Chloé Adam, Antoine Aliotti, Fragkiskos D. Malliaros, Paul-Henry Cournède
Dynamic monitoring of software use with recurrent neural networks. Data Knowl. Eng. 125 (2020)
Charlotte Baey, Paul-Henry Cournède, Estelle Kuhn
Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models. Comput. Stat. Data Anal. 135 (2019)
Mahmoud Bentriou, Paolo Ballarini, Paul-Henry Cournède
Reachability Design Through Approximate Bayesian Computation. CMSB (2019)
Robert Beyer, Dominik Bayer, Hans Pretzsch, Paul-Henry Cournède
Reconstructing minimal length tree branch systems from leaf positions. Ecol. Informatics 42 (2017)
Konstantinos Koutroumpas, Paolo Ballarini, Irene Votsi, Paul-Henry Cournède
Bayesian parameter estimation for the Wnt pathway: an infinite mixture models approach. Bioinform. 32 (17) (2016)
Chloé Adam, Antoine Aliotti, Paul-Henry Cournède
Learning from User Workflows for the Characterization and Prediction of Software Crashes. ICDM Workshops (2016)
Benoit Bayol, Yuting Chen, Charlotte Baey, Gautier Viaud, Paul-Henry Cournède
WIP - Promoting good modeling practice with a domain-specific language and statistical algorithms designed for parallel computing. SpringSim (TMS-DEVS) (2015)
Gautier Viaud, Yuting Chen, Benoit Bayol, Paul-Henry Cournède
A comparison of a generic MCMC-based algorithm for Bayesian estimation in C++, R and Julia: application to plant growth modeling. SpringSim (ANSS) (2015)
Cedric Loi, Paul-Henry Cournède, Jean Françon
A Symbolic Method to Analyse Patterns in Plant Structure. Comb. Probab. Comput. 23 (5) (2014)
Corina Iovan, Paul-Henry Cournède, Thomas Guyard, Benoit Bayol, Didier Boldo, Matthieu Cord
Model-Based Analysis-Synthesis for Realistic Tree Reconstruction and Growth Simulation. IEEE Trans. Geosci. Remote. Sens. 52 (2) (2014)
Samis Trevezas, Sonia Malefaki, Paul-Henry Cournède
Parameter estimation via stochastic variants of the ECM algorithm with applications to plant growth modeling. Comput. Stat. Data Anal. 78 (2014)
Yuting Chen, Samis Trevezas, Paul-Henry Cournède
Iterative convolution particle filtering for nonlinear parameter estimation and data assimilation with application to crop yield prediction. SIAM Conf. on Control and its Applications (2013)
Katarína Smolenová, Winfried Kurth, Paul-Henry Cournède
Parallel Graph Grammars with Instantiation Rules Allow Efficient Structural Factorization of Virtual Vegetation. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 61 (2013)
Jacques Ramanathan, Yuting Chen, Paul-Henry Cournède
Optimal Control of Crop Irrigation based on the Hamilton-Jacobi-Bellman Equation. SIAM Conf. on Control and its Applications (2013)
Benoit Bayol, Yuting Chen, Paul-Henry Cournède
Towards an EDSL to Enhance Good Modelling Practice for Non-linear Stochastic Discrete Dynamical Models - Application to Plant Growth Models. SIMULTECH (2013)
Lin Wu, François-Xavier Le Dimet, Philippe de Reffye, Bao-Gang Hu, Paul-Henry Cournède, Meng-Zhen Kang
An optimal control methodology for plant growth - Case study of a water supply problem of sunflower. Math. Comput. Simul. 82 (5) (2012)
Qiongli Wu, Paul-Henry Cournède, Amélie Mathieu
An efficient computational method for global sensitivity analysis and its application to tree growth modelling. Reliab. Eng. Syst. Saf. 107 (2012)
Meng-Zhen Kang, Paul-Henry Cournède, Philippe de Reffye, D. Auclair, Bao-Gang Hu
Analytical study of a stochastic plant growth model: Application to the GreenLab model. Math. Comput. Simul. 78 (1) (2008)
Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Cournède
Structural identifiability of generalized constraint neural network models for nonlinear regression. Neurocomputing 72 (1-3) (2008)
Vincent Le Chevalier, Marc Jaeger, Xing Mei, Paul-Henry Cournède
Simulation and Visualisation of Functional Landscapes: Effects of the Water Resource Competition Between Plants. J. Comput. Sci. Technol. 22 (6) (2007)
Paul-Henry Cournède, Meng-Zhen Kang, Amélie Mathieu, Jean François Barczi, Hong-Pin Yan, Bao-Gang Hu, Philippe de Reffye
Structural Factorization of Plants to Compute Their Functional and Architectural Growth. Simul. 82 (7) (2006)
Amélie Rostand-Mathieu, Paul-Henry Cournède, Philippe de Reffye
A dynamical model of plant growth with full retroaction between organogenesis and photosynthesis. ARIMA J. 4 (2006)
Lin Wu, Philippe de Reffye, Bao-Gang Hu, François-Xavier Le Dimet, Paul-Henry Cournède
Un problème d'optimisation des apports en eau pour la croissance des plantes dans le modèle GreenLab. ARIMA J. 3 (2005)