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Detailed program
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Mon. 08 | Tue. 09 | Wed. 10 | Thu. 11 | Fri. 12 |
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07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
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7:30 - 8:45 (1h15)
Welcome of participants
Registration
8:45 - 9:00 (15min)
Welcoming remarks
 Auditorium Chateaubriand
9:00 - 10:00 (1h)
Plenary talk (Auditorium Chateaubriand)
Auditorium Chateaubriand
10:00 - 10:30 (30min)
Coffee break
Rotonde Jacques Cartier
10:30 - 12:35 (2h05)
MS: Polynomial optimisation
Auditorium Chateaubriand
Chair: Didier Henrion
› Efficient Convex Polynomial Programming
- Lucas Slot
10:30-10:55 (25min)
› Sums-of-squares Polyconvexity
- Ajay Murali
10:55-11:20 (25min)
› Quadratically regularized Wasserstein barycenters for Lipschitz-resilient aggregation of measures
- Matteo Tacchi-Bénard
11:20-11:45 (25min)
› Asymmetric conformal prediction with penalized kernelsum-of-squares
- Louis Allain
11:45-12:10 (25min)
› Taming the Curse of Dimensionality in Polynomial Optimization with Tensor Structure
- Didier Henrion
12:10-12:35 (25min)
10:30 - 12:35 (2h05)
MS: Computational Design and Fabrication of Curves and Surfaces
Grand Large Est
Chair: Mélina Skouras
› Yes–No Questions in Elastic Curve Design
- Christian Hafner
10:30-10:55 (25min)
› Fabrication-aware Design and Optimization of Cone-Nets
- Mark Pauly
10:55-11:20 (25min)
› Geometric constraints for uniformly deployable hinged kirigami structures
- Jing Ren
11:20-11:45 (25min)
› Folding, Bending, Stretching in Architecture
- Florian Rist
11:45-12:10 (25min)
› New geometrical properties to make gridshells more affordable and versatile
- Xavier Tellier
12:10-12:35 (25min)
10:30 - 12:35 (2h05)
CS: Approximation theory 1
Grand Large Ouest
› Analysing the Manifold Moving Least Squares under Stochastic Sampling Model
- Shir Moshe (Tapiro)
10:30-10:55 (25min)
› Approximation by sampling operators and special measures of smoothness in Banach lattices
- Yurii Kolomoitsev
10:55-11:20 (25min)
› Bounds on the determinant of an exponential matrix
- Michael Floater
11:20-11:45 (25min)
› Projections onto the lines in $L^p$ and simultaneous minimal extensions
- Michael Prophet
11:45-12:10 (25min)
› Structural limitations of M-term approximation
- Dennis Elbrächter
12:10-12:35 (25min)
10:30 - 12:35 (2h05)
CS: Inverse problems
Bouvet
› Data assimilation in the space of curves: application to wildfire monitoring
- Gaël Le Ruz
10:30-10:55 (25min)
› Dynamic inverse problems with temporal discontinuities in the Wasserstein-1 space
- Julius Lohmann
10:55-11:20 (25min)
› Jackpot: Approximating Uncertainty Domains with Adversarial Manifolds
- Nathanaël Munier
11:20-11:45 (25min)
› Stochastic Orthogonal Regularization
- Ali Joundi
11:45-12:10 (25min)
› The CLASSO (Curve-LASSO) functional for curve reconstruction in inverse problems
- Anéva Doliciane Tsafack
12:10-12:35 (25min)
12:35 - 14:30 (1h55)
Lunch
14:30 - 15:30 (1h)
Plenary talk (Auditorium Chateaubriand)
Auditorium Chateaubriand
› Machine learning and symmetries
- Soledad Villar, Johns Hopkins University
14:30-15:30 (1h)
15:30 - 16:00 (30min)
Coffee break
Rotonde Jacques Cartier
16:00 - 18:30 (2h30)
MS: Optimal transport and geometry
Auditorium Chateaubriand
Chair: Quentin Mérigot
› On the Wasserstein Geodesic Principal Component Analysis of probability measures
- Alice Le Brigant
16:00-16:25 (25min)
› Manifold Learning in Wasserstein Space
- Bernhard Schmitzer
16:25-16:50 (25min)
› Discrete Geometrical Tools in Shape Optimization
- Édouard Oudet
16:50-17:15 (25min)
› Optimal Transport-based Conformal Prediction
- Kimia Nadjahi
17:15-17:40 (25min)
› Semi-discrete convex order: From convex geometry to the steel industry and back again
- David Bourne
17:40-18:05 (25min)
› Learning Monge maps by lifting and constraining Wasserstein gradient flows
- Théo Dumont
18:05-18:30 (25min)
16:00 - 18:30 (2h30)
MS: Generalized Barycentric Coordinates
Grand Large Est
Chair: Kai Hormann
› Applications of Generalized Barycentric Coordinates in Computer Graphics
- Jean-Marc Thiery
16:00-16:25 (25min)
› Efficient and Scalable Spatial Regularization of Optimal Transport
- Mathieu Desbrun
16:25-16:50 (25min)
› Generalized barycentric coordinates in computational mechanics: From VEM to PINNs
- Natarajan Sukumar
16:50-17:15 (25min)
› Robust Planar Shape Deformation: A Complex Analysis Approach to Injective Harmonic Maps
- Ofir Weber
17:15-17:40 (25min)
› Variational Barycentric Coordinates
- Ana Dodik
17:40-18:05 (25min)
› Barycentric coordinates: from simplices to polyhedra
- Chongyang Deng
18:05-18:30 (25min)
16:00 - 18:30 (2h30)
CS: High dimensional approximation and statistics
Grand Large Ouest
› NuclearForest: A Robust Hybrid Method for Data Imputation
- Jinwei Li
16:00-16:25 (25min)
› On Sobolev tests on high-dimensional spheres
- Thomas Verdebout
16:25-16:50 (25min)
› On the randomized SVD in infinite dimensions
- André Uschmajew
16:50-17:15 (25min)
› PCA of Probability Measures: Sparse and Dense Sampling Regimes
- Erell Gachon
17:15-17:40 (25min)
› Surrogate to Poincaré inequalities on manifolds for collective dimension reduction in nonlinear feature spaces
- Alexandre Pasco
17:40-18:05 (25min)
16:00 - 18:30 (2h30)
CS: Geometry processing
Bouvet
› Feature curve preservation and resampling in 3D point clouds
- Chiara Romanengo
16:00-16:25 (25min)
› Local and Global Neural Approaches for Learning Laplacians on Point Clouds
- Roy Velich
16:25-16:50 (25min)
› Mathematics of surface stackability
- Ander Chocarro Salaberria
16:50-17:15 (25min)
› Optimisation of Gradient Meshes
- Jiri Kosinka
17:15-17:40 (25min)
› Solving euclidean problems by isotropic initialization
- Khusrav Yorov
17:40-18:05 (25min)
› Spline Interpolation on Compact Riemannian Manifolds
- Charlie Sire
18:05-18:30 (25min)
18:30 - 20:00 (1h30)
Cocktail
Rotonde Jacques Cartier
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8:30 - 9:30 (1h)
Plenary talk (Auditorium Chateaubriand)
Auditorium Chateaubriand
› Pythagorean–Hodograph Splines: From Structural Constraints to Constructive Approaches
- Lucia Romani, Universitá di Bologna
08:30-09:30 (1h)
9:30 - 10:00 (30min)
Coffee break
Rotonde Jacques Cartier
10:00 - 12:30 (2h30)
MS: Optimisation and Machine Learning
Auditorium Chateaubriand
Chair: Edouard Pauwels
› A gradient flow for every c(x,y) cost: EVI-inspired convexity
- Pierre-Cyril Aubin-Frankowski
10:00-10:25 (25min)
› Bias-optimal bounds for SGD with computer-aided proofs
- Guillaume Garrigos
10:25-10:50 (25min)
› Correctness guarantees for the Burer-Monteiro factorization
- Irène Waldspurger
10:50-11:15 (25min)
› Implicit Bias in Gradient Flow Learning: Results, Open Questions, and link with Mirror-Flow Dynamics
- Loucas Pillaud-Vivien
11:15-11:40 (25min)
› Mean-field Learning for the management of consumption flexibilities in power systems
- Nadia Oudjane
11:40-12:05 (25min)
› The AdEMAMix Optimizer: Better, Faster, Older
- Pierre Ablin
12:05-12:30 (25min)
10:00 - 12:30 (2h30)
MS: Advances in splines: theory, methods, and applications
Grand Large Est
Chair: Tatyana Sorokina
› A Construction of $C^r$ Conforming Finite Elements on the Alfeld Split in Any Dimension
- Qingyu Wu
10:00-10:25 (25min)
› Overlap spline methods for elliptic boundary value problems
- Oleg Davydov
10:25-10:50 (25min)
› Quadrature rules for smooth splines on uniformly refined triangles
- Hendrik Speleers
10:50-11:15 (25min)
› Why spline products are hard, and how to fix them
- Francesco Patrizi
11:15-11:40 (25min)
› A sheaf theory framework for supersplines and finite elements
- Beihui Yuan
11:40-12:05 (25min)
› Geometric modeling at MTU Aero Engines: state of the art and research perspectives
- Dominik Mokriš
12:05-12:30 (25min)
10:00 - 12:30 (2h30)
CS: Sparse and high-dimensional approximation 1
Grand Large Ouest
› Approximation and learning with compositional tensor trains
- Charles Miranda
10:00-10:25 (25min)
› Iterative low-rank time integration of time-dependent Schrödinger equations
- Polina Sachsenmaier
10:25-10:50 (25min)
› Low-Rank Approximation by Randomly Pivoted LU
- Marc Aurèle Gilles
10:50-11:15 (25min)
› M-Tensor Formalism: A High Dimensional Approximation Framework for Scarce Data Contexts
- Rémi Cloarec
11:15-11:40 (25min)
› Preconditioning and Numerical Stability in Neural Network Training for Parametric PDEs
- Chenguang Duan
11:40-12:05 (25min)
› Reduced Order Models for Multiscale Problems –- Mitigating Kolmogorov barrier in RTE
- Tianyu Jin
12:05-12:30 (25min)
10:00 - 12:30 (2h30)
CS: Computer-aided geometric design 1
Bouvet
› Accurate shape preserving alternatives to Bernstein polynomials
- Eduardo Royo-Amondarain
10:00-10:25 (25min)
› Efficient evaluation of Gauss-Legendre curves
- Filip Chudy
10:25-10:50 (25min)
› Interpolation by double Pythagorean-hodograph curves of degree seven
- Selena Praprotnik
10:50-11:15 (25min)
› Numerically stable evaluation method for Gauss--Legendre basis
- Hwan Pyo Moon
11:15-11:40 (25min)
› On the topological types of pointwise products of general circles in the unit quaternions
- Niels Lubbes
11:40-12:05 (25min)
› Total positivity of Bernstein-type polynomial bases
- Hector Orera
12:05-12:30 (25min)
12:30 - 14:00 (1h30)
Lunch
14:00 - 15:00 (1h)
Plenary talk (Auditorium Chateaubriand)
Auditorium Chateaubriand
15:00 - 16:30 (1h30)
Poster Session 1 + Coffee
Rotonde Jacques Cartier
› Geometric Representation and BIM–BEM Interoperability in Building Energy Simulations: Tools Overview and Sources of Uncertainty
- Mariusz Cesarz
15:00-16:30 (1h30)
› Optimized multidimensional threshold-based classification in space weather applications
- Francesco Marchetti
15:00-16:30 (1h30)
› Partition of a Digital Surface into Pieces of Digital Planes
- Aude Marêché
15:00-16:30 (1h30)
› Minimax Optimal Kernel Two-Sample Tests with Random Features
- Soumya Mukherjee
15:00-16:30 (1h30)
› Variational Inference for Gaussian Mixtures via Spherical Hellinger-Kantorovich Gradient Flow
- Aratrika Mustafi
15:00-16:30 (1h30)
› A New Method to Accelerate SVM Resolution via Support Vector Identification
- Gabriel Viellefon
15:00-16:30 (1h30)
› Modelling with 3D Elastica
- Marc Isern Hacker
15:00-16:30 (1h30)
› Alignment and Automated Measurement of Smartphone-Reconstructed 3D Human Body Parts
- Hadrien Bigo--Balland
15:00-16:30 (1h30)
› Expressivity of congruence-based architectures for DNNs on positive-definite matrices
- Antonin Oswald
15:00-16:30 (1h30)
› Asymptotically optimal t-design curves on SO(3) and Gr2,4
- Clemens Karner
15:00-16:30 (1h30)
› G2 Pythagorean Hodograph Curves
- Mann Stephen
15:00-16:30 (1h30)
› Data-driven primal-dual methods for compressed hyperspectral single pixel imaging
- Séréna Hariga
15:00-16:30 (1h30)
› Integrating Gk-continuous surface schemes in G+Smo
- Dimitrios Tolis
15:00-16:30 (1h30)
› A Nonlinear Tensor Network Architecture for Compressed End-to-End Learning
- Jana Jovcheva
15:00-16:30 (1h30)
› Fast rigid alignment of discretized 3D objects in sliced Wasserstein distance
- Eric Verbeke
15:00-16:30 (1h30)
› High-dimensional classification problems with Barron regular boundaries under margin conditions
- Jonathan Garcia Rebellon
15:00-16:30 (1h30)
› Lofting Using Blending Techniques
- Tanja Henriksen
15:00-16:30 (1h30)
› Designing vertical transition curves with nonparametric Bézier and B-spline curves
- Javier Sánchez-Reyes
15:00-16:30 (1h30)
› Geometric phases of modulated multivariate time series
- Grégoire Doat
15:00-16:30 (1h30)
› Approximating Environmental Impact Surfaces through Behavioral Shift Simulations: An LCA-based Scenario Analysis in the 15-Minute City Framework
- Dorota Burchart
15:00-16:30 (1h30)
› Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence
- Valérie Castin
15:00-16:30 (1h30)
› Variational Reconstruction of wind velocity fields from LiDAR Measurements
- Theau Cousin
15:00-16:30 (1h30)
› Complex rational plane curves
- Leonardo Fernandez-Jambrina
15:00-16:30 (1h30)
› A Finite Volume Scheme for Diffusion Equations on Curved Polygonal Meshes
- Hang Xudeng
15:00-16:30 (1h30)
› Isogeometric Analysis for Stress-Constrained Topology Optimization
- Guilherme Henrique Teixeira
15:00-16:30 (1h30)
› Geometric Representation and Accessibility-Aware Approximation of Mountain Trails for Assistive Off-Road Mobility: the “Mountains Without Barriers” Integrated Platform
- Marcin Staniek
15:00-16:30 (1h30)
› Multi-modal Routing Algorithms as a Tool for Spatial Optimization of 15-Minute City Zones: A Case Study of the SUMODO International Project
- Grzegorz Sierpinski
15:00-16:30 (1h30)
› Progressive Iterative Approximation for Gauss–Legendre Curves
- Jingxuan Li
15:00-16:30 (1h30)
› A higher order hybrid approximation method using splines to singularly perturbed parabolic convection-diffusion problem using adaptive mesh.
- Asish Saini
15:00-16:30 (1h30)
› Adaptive mesh generation and a higher order hybrid method using splines to singularly perturbed parabolic reaction-diffusion equations.
- Mamta Godara
15:00-16:30 (1h30)
16:30 - 19:00 (2h30)
MS: Kernel-based Methods in Approximation and Learning Theory
Auditorium Chateaubriand
Chair: Holger Wendland
› Fourier-free convergence results for kernel methods
- Armin Iske
16:30-16:55 (25min)
› General superconvergence for kernel-based approximation
- Gabriele Santin
16:55-17:20 (25min)
› Kernel-based Operator Reconstruction with Applications to Physics Informed Learning
- Rüdiger Kempf
17:20-17:45 (25min)
› Multiscale Approximation as Bias Reduction for Manifold-Valued Regression
- Nir Sharon
17:45-18:10 (25min)
› Scattered data approximation in samplet coordinates
- Multerer Michael
18:10-18:35 (25min)
› Semi-Lagrange schemes on manifolds
- Christian Rieger
18:35-19:00 (25min)
16:30 - 19:00 (2h30)
MS: Geometry Processing
Grand Large Est
Chair: Julie Digne
› Geometric Hints for Learning with Shapes
- Mirela Ben Chen
16:30-16:55 (25min)
› Analysis of 3D Plants
- Stefanie Wuhrer
16:55-17:20 (25min)
› Computational Homogenization for Inverse Design of Surface-based Inflatables
- Yingying Ren
17:20-17:45 (25min)
› Conformal Deformations Through the Lens of Curvature
- Etienne Corman
17:45-18:10 (25min)
› Towards Neural Geometry Processing
- Niloy Mitra
18:10-18:35 (25min)
› Neural implicit shape interpolation
- Camille Buonomo
18:35-19:00 (25min)
16:30 - 19:00 (2h30)
CS: Optimal transport
Grand Large Ouest
› Gromov-Wasserstein at Scale, Beyond Squared Norms
- Guillaume Houry
16:30-16:55 (25min)
› Multiscaling in Wasserstein Spaces
- Wael Mattar
16:55-17:20 (25min)
› Quantum optimal transport and interpolations in quantum chemistry
- Etienne Obermeyer
17:20-17:45 (25min)
› Statistical Estimaton of Monge Transport Maps via Brenier Potentials
- Léo Portales
17:45-18:10 (25min)
› Variational Analysis in the Wasserstein Hierarchy
- Christophe Vauthier
18:10-18:35 (25min)
› Linearized Optimal Transport for Geophysical Flow Forecasting
- Mia Busuladzic-Begic
18:35-19:00 (25min)
16:30 - 19:00 (2h30)
CS: Image and signal processing
Bouvet
› Completion of multivariate filterbanks by neural networks
- Tomas Sauer
16:30-16:55 (25min)
› ConveyorAD: A Benchmark Dataset and Minimally Supervised Pipeline for Real-Time Industrial Anomaly Detection
- Alexandre Leclerc
16:55-17:20 (25min)
› Dual Gradient Flow and Dual Power Method for the Computation of Nonlinear Eigenfunctions
- Jonathan Laubmann
17:20-17:45 (25min)
› Min-max Error Bounds for Multivariate Super-Resolution
- Nuha Diab
17:45-18:10 (25min)
› Multi-band Angular Template Matching Algorithm
- Fabian Kruse
18:10-18:35 (25min)
› Spherical Framelets from Spherical Designs
- Xiaosheng Zhuang
18:35-19:00 (25min)
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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 - 12:30 (2h30)
MS: Topological Data Analysis and applications
Auditorium Chateaubriand
Chair: Théo Lacombe
› Cech persistence diagrams for (random) subsets of (generic) submanifolds
- Vincent Divol
10:00-10:25 (25min)
› Merge Tree Interleavings for River Network Analysis
- Thijs Beurskens
10:25-10:50 (25min)
› Multi-Parameter Topological Data Analysis with MMA
- Mathieu Carrière
10:50-11:15 (25min)
› Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction
- Julien Tierny
11:15-11:40 (25min)
› Shapes, Spaces, Simplices, and Structure: Geometry, Topology, and Deep Learning
- Bastian Grossenbacher-Rieck
11:40-12:05 (25min)
› Universal Limits for Scale-Invariant Functionals in Geometric and Topological Data Analysis
- Omer Bobrowski
12:05-12:30 (25min)
10:00 - 12:30 (2h30)
MS: High-dimensional approximation
Grand Large Est
Chair: Olga Mula
› A function approximation algorithm using multilevel active subspaces
- Fabio Nobile
10:00-10:25 (25min)
› Optimal constructive sampling for L2-approximation in Hilbert spaces
- Mario Ullrich
10:25-10:50 (25min)
› Optimal sampling and natural gradient for fast online learning in non-linear reduced order models
- Agustin Somacal
10:50-11:15 (25min)
› Stochastic convergence of a class of greedy-type algorithms
- Evie Nielen
11:15-11:40 (25min)
› Structure-preserving model reduction on manifolds for port-Hamiltonian systems
- Silke Glas
11:40-12:05 (25min)
› High-Dimensional Data Approximation on Simplicial Partitions
- Peter Binev
12:05-12:30 (25min)
10:00 - 12:30 (2h30)
CS: Computer-aided geometric design 2
Grand Large Ouest
› Approximation in the Space of Lines with Applications in Robotics and Manufacturing
- Bahram Ravani
10:00-10:25 (25min)
› C1 Simplex splines on the Clough-Tocher split in numerical simulation
- Pelosi Francesca
10:25-10:50 (25min)
› C^1-smooth isogeometric spline functions of general degree over mixed triangular and quadrilateral surface meshes
- Marjeta Knez
10:50-11:15 (25min)
› G^2 interpolation by Minkowski Pythagorean-hodograph spline curves
- Maria Lucia Sampoli
11:15-11:40 (25min)
› Interactive Control of Curvature Extrema and Inflections on B-Spline Curves
- Eric Demers
11:40-12:05 (25min)
› Rational C1 cubic Powell–Sabin splines and applications
- Ada Šadl Praprotnik
12:05-12:30 (25min)
10:00 - 12:30 (2h30)
CS: Machine learning, Optimization
› Atomic Gradient Flows
- Christian Amend
10:00-10:25 (25min)
› Chaoticity of Particle Systems under Empirical Moment Constraints
- François Escolan
10:25-10:50 (25min)
› Convergence of empirical subgradients in optimal transport-based learning
- Tam Le
10:50-11:15 (25min)
› Insights on Muon from Simple Quadratics
- Antoine Gonon
11:15-11:40 (25min)
› Mirror consensus-based optimization and applications to adversarial attacks
- Tim Roith, Technical University of Munich
11:40-12:05 (25min)
› Riemannian Natural Gradient for Learning Low-Rank Functional Tensor Networks
- Nikolas Klug
12:05-12:30 (25min)
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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 - 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 - 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 - 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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8:30 - 11:00 (2h30)
MS: Geometric shape analysis: old and new
Auditorium Chateaubriand
Chair: Luis F. Pereira
› SVarM: regression and classification in the space of varifold representations of geometric data
- Emmanuel Hartman
08:30-08:55 (25min)
› Shape spaces of nonlinear flags
- Ioana Ciuclea
08:55-09:20 (25min)
› Sliced ReLU kernel, fast computations and two applications.
- François-Xavier Vialard
09:20-09:45 (25min)
› Functional Maps: from a shape matching solution to a prior for Geometric Deep Learning
- Simone Melzi
09:45-10:10 (25min)
› Bi-invariant Geodesic Regression
- Martin Hanik
10:10-10:35 (25min)
› Sobolev Distributions as Curves and Surfaces
- James Benn
10:35-11:00 (25min)
8:30 - 11:00 (2h30)
MS: Graph Neural Networks
Grand Large Est
Chair: Nicolas Keriven
› Graph Semi-Supervised Learning for Point Classification on Data Manifolds
- Luana Ruiz
08:30-08:55 (25min)
› Szemerédi Regularity Lemma in Graph Machine Learning
- Ron Levie
08:55-09:20 (25min)
› How Powerful Do Graph Neural Networks Need to Be?
- Rebekka Burkholz
09:20-09:45 (25min)
› Rewiring Strategies for GNNs: Geometry, Features, and Beyond
- Fragkiskos Malliaros
09:45-10:10 (25min)
› Sparsification and Connectivity in Graph Neural Networks
- Claude Petit
10:10-10:35 (25min)
› Memorization in Graph Neural Networks
- Adarsh Jamadandi
10:35-11:00 (25min)
8:30 - 11:00 (2h30)
CS: Approximation theory 3
Charcot
› Approximation theory of polar splines
- Philipp Zilk
08:30-08:55 (25min)
› New identities for exponential-reproducing subdivision schemes and special polynomials
- Alberto Viscardi
08:55-09:20 (25min)
› Optimal Parametric Polynomial Interpolants of Elliptic Arcs
- Emil Žagar
09:20-09:45 (25min)
› Polynomial G1 spline approximations of a sphere based on Archimedean and Catalan solids
- Ema Češek
09:45-10:10 (25min)
› Robust approximation error estimates for analysis-suitable G1 isogeometric multi-patch discretizations
- Fatima Hasanova
10:10-10:35 (25min)
› Regularization models for planar offset curves and trajectory recognition
- Rosanna Campagna
10:35-11:00 (25min)
8:30 - 11:00 (2h30)
CS: Computer-aided geometric design 3
Bouvet
› Approximation of Dupin cyclide patches by ringed surfaces and its application towards curvature adapted 5-axis CNC machining
- Alena Lindauerová
08:30-08:55 (25min)
› Equi-affine minimal-degree moving frames for polynomial curves
- Irina Kogan
08:55-09:20 (25min)
› Explicit Inversion of Planar NURBS Curves
- Michelangelo Marsala
09:20-09:45 (25min)
› Ortho-arc curves: a constructive approach to developable surface design
- Vishesh Bhat
09:45-10:10 (25min)
› Parametric medial axis templates for interior control of multi-sided patches
- Márton Vaitkus
10:10-10:35 (25min)
› Smooth Envelope Construction for Multi-Strip Flank Milling
- Michal Bizzarri
10:35-11:00 (25min)
8:30 - 11:00 (2h30)
CS: Machine learning theory, Neural networks
Grand Large Ouest
› A Comparative Analysis of Kolmogorov-Arnold Network Architectures for Function Approximation
- Adeeba Haider
08:30-08:55 (25min)
› Deep Neural Networks as Iterated Function Systems and a Generalization Bound
- Jonathan Vacher
08:55-09:20 (25min)
› Identifiability of Deep Polynomial Neural Networks
- Konstantin Usevich
09:20-09:45 (25min)
› On Universality of Equivariant Neural Networks
- Marco Pacini
09:45-10:10 (25min)
› The geometry of neural networks: a Riemannian foliation perspective on robustness.
- Eliot Tron
10:10-10:35 (25min)
› Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime
- Raphaël Barboni
10:35-11:00 (25min)
11:00 - 11:30 (30min)
Coffee break
Rotonde Jacques Cartier
11:30 - 12:30 (1h)
Plenary talk (Auditorium Chateaubriand)
Auditorium Chateaubriand
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