Paul-Henry Cournède

58 papers A* 1B 1C 1Journal 39Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are foundation models for computer vision good conformal predictors? Trans. Mach. Learn. Res. Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2026	J	`jnl`	Information Maximization for Long-Tailed Semi-Supervised Domain Generalization. CoRR Leo Fillioux, Omprakash Chakraborty, Quentin Gopée, Pierre Marza, Paul-Henry Cournède, Stergios Christodoulidis, Maria Vakalopoulou, Ismail Ben Ayed, Jose Dolz
2026	J	`jnl`	SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning. CoRR Leo Fillioux, Omprakash Chakraborty, Ismail Ben Ayed, Paul-Henry Cournède, Stergios Christodoulidis, Maria Vakalopoulou, Jose Dolz
2025	J	`jnl`	Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data. Trans. Mach. Learn. Res. Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
2025	—	`conf`	Full Conformal Adaptation of Medical Vision-Language Models. IPMI (2) Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Full Conformal Adaptation of Medical Vision-Language Models. CoRR Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology. PLoS Comput. Biol. Hakim Benkirane, Maria Vakalopoulou, David Planchard, Julien Adam, Ken Olaussen, Stefan Michiels, Paul-Henry Cournède
2025	J	`jnl`	PVeRA: Probabilistic Vector-Based Random Matrix Adaptation. CoRR Leo Fillioux, Enzo Ferrante, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis
2024	J	`jnl`	A Formal Approach for Tuning Stochastic Oscillators. CoRR Paolo Ballarini, Mahmoud Bentriou, Paul-Henry Cournède
2024	J	`jnl`	A novel batch-effect correction method for scRNA-seq data based on Adversarial Information Factorization. PLoS Comput. Biol. Lily Monnier, Paul-Henry Cournède
2024	J	`jnl`	Are foundation models for computer vision good conformal predictors? CoRR Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2024	—	`conf`	BulkRNABert: Cancer prognosis from bulk RNA-seq based language models. ML4H@NeurIPS Maxence Gélard, Guillaume Richard, Thomas Pierrot, Paul-Henry Cournède
2024	A*	`conf`	Causal Contrastive Learning for Counterfactual Regression Over Time. NeurIPS Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
2024	J	`jnl`	Causal Contrastive Learning for Counterfactual Regression Over Time. CoRR Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
2024	—	`conf`	Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning. AIME (1) Paul Dubois, Paul-Henry Cournède, Nikos Paragios, Pascal Fenoglietto
2023	—	`conf`	A Formal Approach for Tuning Stochastic Oscillators. CMSB Paolo Ballarini, Mahmoud Bentriou, Paul-Henry Cournède
2023	J	`jnl`	A biology-driven deep generative model for cell-type annotation in cytometry. Briefings Bioinform. Quentin Blampey, Nadège Bercovici, Charles-Antoine Dutertre, Isabelle Pic, Joana Mourato Ribeiro, Fabrice André, Paul-Henry Cournède
2023	J	`jnl`	Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data. CoRR Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
2023	J	`jnl`	CustOmics: A versatile deep-learning based strategy for multi-omics integration. PLoS Comput. Biol. Hakim Benkirane, Yoann Pradat, Stefan Michiels, Paul-Henry Cournède
2023	—	`conf`	Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. ICCV (Workshops) Leo Fillioux, Emilie Gontran, Jérôme Cartry, Jacques RR Mathieu, Sabrina Bedja, Alice Boilève, Paul-Henry Cournède, Fanny Jaulin, Stergios Christodoulidis, Maria Vakalopoulou
2023	J	`jnl`	Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. CoRR Leo Fillioux, Emilie Gontran, Jérôme Cartry, Jacques RR Mathieu, Sabrina Bedja, Alice Boilève, Paul-Henry Cournède, Fanny Jaulin, Stergios Christodoulidis, Maria Vakalopoulou
2023	—	`conf`	Structured State Space Models for Multiple Instance Learning in Digital Pathology. MICCAI (1) Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis
2023	J	`jnl`	Structured State Space Models for Multiple Instance Learning in Digital Pathology. CoRR Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis
2022	J	`jnl`	CustOmics: A versatile deep-learning based strategy for multi-omics integration. CoRR Hakim Benkirane, Yoann Pradat, Stefan Michiels, Paul-Henry Cournède
2022	—	`conf`	Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis. ML4H@NeurIPS Hakim Benkirane, Maria Vakalopoulou, Stergios Christodoulidis, Ingrid-Judith Garberis, Stefan Michiels, Paul-Henry Cournède
2022	J	`jnl`	Interpretable cytometry cell-type annotation with flow-based deep generative models. CoRR Quentin Blampey, Nadège Bercovici, Charles-Antoine Dutertre, Isabelle Pic, Fabrice André, Joana Mourato Ribeiro, Paul-Henry Cournède
2022	J	`jnl`	Leveraging conditional generative models in a general explanation framework of classifier decisions. Future Gener. Comput. Syst. Martin Charachon, Paul-Henry Cournède, Céline Hudelot, Roberto Ardon
2022	J	`jnl`	Representation Learning for the Clustering of Multi-Omics Data. IEEE ACM Trans. Comput. Biol. Bioinform. Gautier Viaud, Prasanna Mayilvahanan, Paul-Henry Cournède
2021	J	`jnl`	Automaton-ABC: A statistical method to estimate the probability of spatio-temporal properties for parametric Markov population models. Theor. Comput. Sci. Mahmoud Bentriou, Paolo Ballarini, Paul-Henry Cournède
2021	J	`jnl`	Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions. CoRR Martin Charachon, Paul-Henry Cournède, Céline Hudelot, Roberto Ardon
2021	—	`conf`	Neural Networks to Predict Survival from RNA-seq Data in Oncology. CMSB Mathilde Sautreuil, Sarah Lemler, Paul-Henry Cournède
2021	—	`conf`	Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions. iMIMIC/TDA4MedicalData@MICCAI Martin Charachon, Paul-Henry Cournède, Céline Hudelot, Roberto Ardon
2020	B	`conf`	Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. ICPR Martin Charachon, Céline Hudelot, Paul-Henry Cournède, Camille Ruppli, Roberto Ardon
2020	J	`jnl`	Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. CoRR Martin Charachon, Céline Hudelot, Paul-Henry Cournède, Camille Ruppli, Roberto Ardon
2020	J	`jnl`	Dynamic monitoring of software use with recurrent neural networks. Data Knowl. Eng. Chloé Adam, Antoine Aliotti, Fragkiskos D. Malliaros, Paul-Henry Cournède
2020	—	`conf`	On the Use of Neural Networks with Censored Time-to-Event Data. ISMCO Elvire Roblin, Paul-Henry Cournède, Stefan Michiels
2019	J	`jnl`	Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models. Comput. Stat. Data Anal. Charlotte Baey, Paul-Henry Cournède, Estelle Kuhn
2019	—	`conf`	Reachability Design Through Approximate Bayesian Computation. CMSB Mahmoud Bentriou, Paolo Ballarini, Paul-Henry Cournède
2017	J	`jnl`	Reconstructing minimal length tree branch systems from leaf positions. Ecol. Informatics Robert Beyer, Dominik Bayer, Hans Pretzsch, Paul-Henry Cournède
2016	J	`jnl`	Bayesian parameter estimation for the Wnt pathway: an infinite mixture models approach. Bioinform. Konstantinos Koutroumpas, Paolo Ballarini, Irene Votsi, Paul-Henry Cournède
2016	—	`conf`	Learning from User Workflows for the Characterization and Prediction of Software Crashes. ICDM Workshops Chloé Adam, Antoine Aliotti, Paul-Henry Cournède
2015	—	`conf`	A comparison of a generic MCMC-based algorithm for Bayesian estimation in C++, R and Julia: application to plant growth modeling. SpringSim (ANSS) Gautier Viaud, Yuting Chen, Benoit Bayol, Paul-Henry Cournède
2015	—	`conf`	WIP - Promoting good modeling practice with a domain-specific language and statistical algorithms designed for parallel computing. SpringSim (TMS-DEVS) Benoit Bayol, Yuting Chen, Charlotte Baey, Gautier Viaud, Paul-Henry Cournède
2014	J	`jnl`	A Symbolic Method to Analyse Patterns in Plant Structure. Comb. Probab. Comput. Cedric Loi, Paul-Henry Cournède, Jean Françon
2014	J	`jnl`	Model-Based Analysis-Synthesis for Realistic Tree Reconstruction and Growth Simulation. IEEE Trans. Geosci. Remote. Sens. Corina Iovan, Paul-Henry Cournède, Thomas Guyard, Benoit Bayol, Didier Boldo, Matthieu Cord
2014	J	`jnl`	Parameter estimation via stochastic variants of the ECM algorithm with applications to plant growth modeling. Comput. Stat. Data Anal. Samis Trevezas, Sonia Malefaki, Paul-Henry Cournède
2013	—	`conf`	Iterative convolution particle filtering for nonlinear parameter estimation and data assimilation with application to crop yield prediction. SIAM Conf. on Control and its Applications Yuting Chen, Samis Trevezas, Paul-Henry Cournède
2013	—	`conf`	Optimal Control of Crop Irrigation based on the Hamilton-Jacobi-Bellman Equation. SIAM Conf. on Control and its Applications Jacques Ramanathan, Yuting Chen, Paul-Henry Cournède
2013	J	`jnl`	Parallel Graph Grammars with Instantiation Rules Allow Efficient Structural Factorization of Virtual Vegetation. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. Katarína Smolenová, Winfried Kurth, Paul-Henry Cournède
2013	C	`conf`	Towards an EDSL to Enhance Good Modelling Practice for Non-linear Stochastic Discrete Dynamical Models - Application to Plant Growth Models. SIMULTECH Benoit Bayol, Yuting Chen, Paul-Henry Cournède
2012	J	`jnl`	An efficient computational method for global sensitivity analysis and its application to tree growth modelling. Reliab. Eng. Syst. Saf. Qiongli Wu, Paul-Henry Cournède, Amélie Mathieu
2012	J	`jnl`	An optimal control methodology for plant growth - Case study of a water supply problem of sunflower. Math. Comput. Simul. Lin Wu, François-Xavier Le Dimet, Philippe de Reffye, Bao-Gang Hu, Paul-Henry Cournède, Meng-Zhen Kang
2008	J	`jnl`	Analytical study of a stochastic plant growth model: Application to the GreenLab model. Math. Comput. Simul. Meng-Zhen Kang, Paul-Henry Cournède, Philippe de Reffye, D. Auclair, Bao-Gang Hu
2008	J	`jnl`	Structural identifiability of generalized constraint neural network models for nonlinear regression. Neurocomputing Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Cournède
2007	J	`jnl`	Simulation and Visualisation of Functional Landscapes: Effects of the Water Resource Competition Between Plants. J. Comput. Sci. Technol. Vincent Le Chevalier, Marc Jaeger, Xing Mei, Paul-Henry Cournède
2006	J	`jnl`	A dynamical model of plant growth with full retroaction between organogenesis and photosynthesis. ARIMA J. Amélie Rostand-Mathieu, Paul-Henry Cournède, Philippe de Reffye
2006	J	`jnl`	Structural Factorization of Plants to Compute Their Functional and Architectural Growth. Simul. Paul-Henry Cournède, Meng-Zhen Kang, Amélie Mathieu, Jean François Barczi, Hong-Pin Yan, Bao-Gang Hu, Philippe de Reffye
2005	J	`jnl`	Un problème d'optimisation des apports en eau pour la croissance des plantes dans le modèle GreenLab. ARIMA J. Lin Wu, Philippe de Reffye, Bao-Gang Hu, François-Xavier Le Dimet, Paul-Henry Cournède