Recent Publications
Topological reconstruction of compact supports of dependent stationary random variables
Advances in Applied Probability, In press, 56 (4)
Article dans une revue
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2024, Seattle, United States
Communication dans un congrès
Robust output convergence of heterogeneous networks via nonsmooth hard-threshold couplings
Nonlinear Analysis: Hybrid Systems, 2024, 52, pp.101459. ⟨10.1016/j.nahs.2023.101459⟩
Article dans une revue
Diffusion posterior sampling for simulation-based inference in tall data settings
Julia Linhart,
Gabriel Victorino Cardoso,
Alexandre Gramfort,
Sylvain Le Corff,
Pedro Luiz Coelho Rodrigues
2024
Pré-publication, Document de travail
Sticky-threshold diffusions, local time approximation and parameter estimation
2024
Pré-publication, Document de travail
Unbalanced L1 optimal transport for vector valued measures and application to Full Waveform Inversion
2024
Pré-publication, Document de travail
Identification of the environmental hotspots of a recycling process - Case study of a Pt PEMFC catalyst closed-loop recycling system evaluated via life cycle assessment methodology
International Journal of Hydrogen Energy, 2024, 63, pp.396-410. ⟨10.1016/j.ijhydene.2024.03.023⟩
Article dans une revue
Optimal Riemannian metric for Poincaré inequalities and how to ideally precondition Langevin dymanics
2024
Pré-publication, Document de travail
Parallel performance of shared memory parallel spectral deferred corrections
2024
Pré-publication, Document de travail
Invariant kernels on the space of complex covariance matrices
2024
Pré-publication, Document de travail
Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models
2024
Pré-publication, Document de travail
Finite-time convergent discrete-time algorithms: from explicit to backward schemes
2024
Pré-publication, Document de travail
A Variational Approach to the Design of Discrete-time Super-twisting-like Algorithms
2024
Pré-publication, Document de travail
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
2024
Pré-publication, Document de travail
Correspondence-free online human motion retargeting
International Conference on 3D Vision (3DV), Mar 2024, DAVOS, Switzerland. pp.1-10
Communication dans un congrès
The negative investor attention impact on bitcoin
38ème Colloque International de l’Association Française de Finance, May 2022, Saint Malo (FR), France
Communication dans un congrès
Gridless 2D Recovery of Lines using the Sliding Frank-Wolfe Algorithm
2024
Pré-publication, Document de travail
Optimal sub-Gaussian variance proxy for truncated Gaussian and exponential random variables
2024
Pré-publication, Document de travail
A review of socio-metabolic research on circularity in agri-food systems and pathways to action
Nutrient Cycling in Agroecosystems, 2024, ⟨10.1007/s10705-024-10344-x⟩
Article dans une revue
Clustering-Based Inter-Regional Correlation Estimation
Computational Statistics and Data Analysis, 2024, 191, pp.107876:1-32. ⟨10.1016/j.csda.2023.107876⟩
Article dans une revue
Young children’s transfer of learning on a touchscreen tablet is determined by similarities between tasks and between digital contexts
Computers in Human Behavior Reports, 2024, 13, pp.100359. ⟨10.1016/j.chbr.2023.100359⟩
Article dans une revue
Ensure Software Quality
Mario David,
Miguel Colom,
Daniel Garijo,
Leyla Jael Castro,
Violaine Louvet,
Elisabetta Ronchieri,
Massimo Torquati,
Laura del Caño,
Siew Hoon Leong,
Maxime van den Bossche,
Isabel Campos,
Roberto Di Cosmo
European Comission. 2024, https://zenodo.org/records/10723608
Rapport
On the numerical approximation of Blaschke-Santalo diagrams using Centroidal Voronoi Tessellations
ESAIM: Mathematical Modelling and Numerical Analysis, 2024, 58 (1), pp.393-420. ⟨10.1051/m2an/2023092⟩
Article dans une revue
On the error estimates for the divergence-free wavelet-based projection method
2024
Pré-publication, Document de travail
Universal Generalization Guarantees for Wasserstein Distributionally Robust Models
2024
Pré-publication, Document de travail