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| Thursday, June 11, 2026 | |
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08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
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8:30 - 9:30 (1h)
Plenary talk (Auditorium Chateaubriand)
Auditorium Chateaubriand
9:30 - 10:00 (30min)
Coffee break
Rotonde Jacques Cartier
›10:00 (2h30)
› Auditorium Chateaubriand
10:00 - 12:30 (2h30)
MS: Mathematical aspects of deep learning
Auditorium Chateaubriand
Chair: Rémi Gribonval
› Algebraic Neural Networks: Identifiability, Singularities, Critical Points
- Kathlén Kohn
10:00-10:25 (25min)
› Geometry-induced Regularization in Deep ReLU Neural Networks
- Francois Malgouyres
10:25-10:50 (25min)
› Hardware-Aware Structured Attention with Monarch Matrices
- Laura Balzano
10:50-11:15 (25min)
› Incremental Learning in two-layer ReLU networks
- Etienne Boursier
11:15-11:40 (25min)
› Softmax vs. Linear Attention in the Large-Prompt Regime
- Claire Boyer
11:40-12:05 (25min)
› The implicit bias phenomenon in deep learning
- Holger Rauhut
12:05-12:30 (25min)
10:00 - 12:30 (2h30)
CS: Mesh generation, finite elements and splines
Grand Large Est
› A knot insertion-based proof of the Marsden identity for maximally smooth splines on arbitrary triangulations
- Salah Eddargani
10:00-10:25 (25min)
› An adaptive moving mesh method using blending type spline constructions
- Tatiana Kravetc
10:25-10:50 (25min)
› An Isogeometric Tearing and Interconnecting (IETI) method for the polyharmonic equation of order m over planar multi-patch geometries
- Mario Kapl
10:50-11:15 (25min)
› B-spline-like bases for generalized C^2 Clough-Tocher spline spaces over a triangulation
- Matija Šteblaj
11:15-11:40 (25min)
› Matching triangular and quadrilateral $C^1$ macro-elements
- Jan Grošelj
11:40-12:05 (25min)
10:00 - 12:30 (2h30)
CS: Shape analysis
Grand Large Ouest
› Asymmetric Geodesic Curves on Latent Manifolds via Randers-Finsler Metric Learning
- Théau Blanchard
10:00-10:25 (25min)
› Bayesian calibration of computer models with diffeomorphic registration distances
- Paul Lartaud
10:25-10:50 (25min)
› Decorrelation of vector fields with first variation of varifolds
- Rayane Mouhli
10:50-11:15 (25min)
› Extended LDDMM and applications to shape analysis
- Thomas Pierron
11:15-11:40 (25min)
› Implicit Minimal Surfaces for Bijective Correspondences
- Robin Magnet
11:40-12:05 (25min)
› Limited-View Elastic 3D--2D Registration with Differentiable Rendering for CT Metrology
- François Guibault
12:05-12:30 (25min)
10:00 - 12:30 (2h30)
CS: Sparse and high-dimensional approximation 2
Bouvet
› A Sparse Approximation Perspective on Operator Learning for Differential Equations
- Fabian Taubert
10:00-10:25 (25min)
› Efficient solvers for coupled Brown-Neel Fokker-Planck equations
- Manfred Faldum
10:25-10:50 (25min)
› High-dimensional, non-linear feedback control with neural networks
- Hoeveler Bernhard
10:50-11:15 (25min)
› Multiscale-Spectral GFEM with Grassmannian Interpolation for Parametric Elliptic PDEs
- Huqing Yang
11:15-11:40 (25min)
› Space-time adaptivity and preconditioning for porous media flow models
- Simon Boisserée
11:40-12:05 (25min)
› Sparse optimization on length measures towards PDE constrained problems
- Giacomo Cristinelli
12:05-12:30 (25min)
14:00 - 15:00 (1h)
Plenary talk (Auditorium Chateaubriand)
Auditorium Chateaubriand
› Explicit Dynamics in Isogeometric Analysis on Complex Geometries: Mass Lumping and Outlier-Removal
- Espen Sande, Simula Research Laboratory [OSLO]
14:00-15:00 (1h)
15:00 - 16:30 (1h30)
Poster Session 2 + Coffee
Rotonde Jacques Cartier
› Normalizing Diffusion Kernels with Optimal Transport
- Nathan Kessler
15:00-16:30 (1h30)
› Testing triangular B\'{e}zier surfaces for coincidence
- Krassimira Vlachkova
15:00-16:30 (1h30)
› Sinkhorn based Associative Memory retrieval using Spherical Hellinger Kantorovich dynamics
- Aratrika Mustafi
15:00-16:30 (1h30)
› Area Preserving Visualization Mapping on Deformable Surfaces
- Antoine Borget
15:00-16:30 (1h30)
› Tensor Train Methods for High Dimensional Function Approximation
- Matias Andia
15:00-16:30 (1h30)
› Variance reduction for stochastic proximal point algorithm
- Cheik Traoré
15:00-16:30 (1h30)
› Riemannian Optimization on Tree Tensor Networks with Application in Machine Learning
- Marius Willner
15:00-16:30 (1h30)
› Model order reduction with randomized methods for parametrized evolution problems
- Ulysse Desgroppes
15:00-16:30 (1h30)
› Relative Layer-Wise Relevance Propagation for Pixel Contribution on Image Classification
- Olivier Gibaru
15:00-16:30 (1h30)
› SingLoRA: Low-Rank Adaptation with a Single Matrix
- David Bensaid
15:00-16:30 (1h30)
› Riemannian gradient descent along geodesic paths for shape optimization using isogeometric analysis
- Rozan Rosandi
15:00-16:30 (1h30)
› Uniform Kernel Prober
- Soumya Mukherjee
15:00-16:30 (1h30)
› Reconstructing Biomolecular Heterogeneity from Cryo-EM Data
- Marc Aurèle Gilles
15:00-16:30 (1h30)
› Improving Low-Level Ozone Forecasts with Functional Models and Spatial Data Integration
- Bree Ettinger
15:00-16:30 (1h30)
› Solving Euclidean Problems by Isotropic Initialization
- Khusrav Yorov
15:00-16:30 (1h30)
› Rational Gauss-Legendre polynomial curves
- Soo Hyun Kim
15:00-16:30 (1h30)
› Learning Morphological Representations
- Mihaela Dimitrova
15:00-16:30 (1h30)
› An Invariant Framework for Cell Shape Analysis
- Giorgio Longari
15:00-16:30 (1h30)
› Planar bi-offset curves and trajectories
- Domenico Fazzino
15:00-16:30 (1h30)
› Boundary layer meshing for hypersonic flows simulation
- Anaïs Albarran
15:00-16:30 (1h30)
› Wind field reconstruction based on LiDAR measurements
- Theau Cousin
15:00-16:30 (1h30)
› Time-delay-induced instabilities and Hopf bifurcation analysis in 2-neuron network model with reaction–diffusion term
- Swati Tyagi
15:00-16:30 (1h30)
› Refinement and Projectors for Freeform Splines
- Linus Mussmaecher
15:00-16:30 (1h30)
› Surface Reconstruction and Algorithmic Design in BIM-Based Workflows.
- Mariusz Cesarz
15:00-16:30 (1h30)
› Taxonomy of reduction matrices for Graph Coarsening
- Antonin Joly
15:00-16:30 (1h30)
› Structure-Preserving Discretization of the Observational Light Cone and Its Geometry
- Alejandro Estrada-Llesta
15:00-16:30 (1h30)
›16:30 (2h30)
› Auditorium Chateaubriand
16:30 - 19:00 (2h30)
MS: Computer aided design and isogeometric methods
Auditorium Chateaubriand
Chair: Carlotta Giannelli
› Efficient matrix computation for isogeometric discretizations with truncated hierarchical B-splines
- Bert Juettler
16:30-16:55 (25min)
› On the use of nested Monge-Ampère mappings in isogeometric r-refinement
- Angelos Mantzaflaris
16:55-17:20 (25min)
› Patching with non-uniform extraordinary points and applications
- Xin Li
17:20-17:45 (25min)
› Quadrature Schemes for Trimmed Geometries: Benchmarks and Comparisons
- Benjamin Marussig
17:45-18:10 (25min)
› Structure-preserving isogeometric analysis with hierarchical B-splines
- Deepesh Toshniwal
18:10-18:35 (25min)
› Structure-preserving isogeometric discretizations with Tchebycheffian B-splines
- Carla Manni
18:35-19:00 (25min)
›16:30 (2h30)
› Grand Large Est
16:30 - 19:00 (2h30)
MS: Geometric measure theory and shape representation
Grand Large Est
Chair: Blanche Buet
› Inferring single-cell trajectories from RNA velocity fields with varifold distances
- Elodie Maignant
16:30-16:55 (25min)
› Learning on mm spaces based on Gromov's reconstruction theorem
- Claire Brécheteau
16:55-17:20 (25min)
› Optimal regularity for quasiminimal sets of codimension one
- Camille Labourie
17:20-17:45 (25min)
› Variational reconstruction of piecewise constant images
- Romain Petit
17:45-18:10 (25min)
› Open problems on Steiner trees and maximal distance minimizers
- Yana Teplitskaya
18:10-18:35 (25min)
› Approximating the area of a set: when geometric measure theory meets persistent homology.
- Antoine Commaret
18:35-19:00 (25min)
16:30 - 19:00 (2h30)
CS: Approximation theory 2
Grand Large Ouest
› High-dimensional sparse recovery from function samples - instance optimality guarantees
- Tizian Sommerfeld
16:30-16:55 (25min)
› New families of nonconforming histopolation methods for function reconstruction on polygonal meshes
- Federico Nudo
16:55-17:20 (25min)
› On the optimal shape parameter for kernel methods: Sharp direct and inverse statements
- Tizian Wenzel
17:20-17:45 (25min)
› Recovery from Approximation Error
- Ayush Bhandari
17:45-18:10 (25min)
› Sample-based almost-sure quasi-optimal approximation in reproducing kernel Hilbert spaces
- Philipp Trunschke
18:10-18:35 (25min)
› Statistical Consistency of Discrete-to-Continuous Limits of Determinantal Point Processes
- Hugo Jaquard
18:35-19:00 (25min)
16:30 - 19:00 (2h30)
CS: Machine learning, Generative models, Transformers
Bouvet
› Anisotropic interaction in self-attention dynamics on the sphere
- Samira Kabri
16:30-16:55 (25min)
› Approximating the score function using Optimal Transport
- Quentin Giton
16:55-17:20 (25min)
› Gaussian Match-and-Copy: A Minimalist Benchmark for Studying Transformer Induction
- Antoine Gonon
17:20-17:45 (25min)
› Optimization-Free Diffusion Model - A Perturbation Theory Approach
- Mathias Oster
17:45-18:10 (25min)
› The generalization of flow matching and its temporal phases: why and when does it work?
- Mathurin Massias
18:10-18:35 (25min)
› From Score Matching to Diffusion: a fined-grained error analysis
- Samuel Hurault
18:35-19:00 (25min)
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| Session | Speech/Intervention | Logistics | Break | Tour |
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