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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)
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
16:00 - 18:30 (2h30)
CS: Geometry processing
Bouvet
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
10:00 - 12:30 (2h30)
CS: Computer-aided geometric design 1
Bouvet
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
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
16:30 - 19:00 (2h30)
CS: Image and signal processing
Bouvet
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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
10:00 - 12:30 (2h30)
CS: Machine learning, Optimization
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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
10:00 - 12:30 (2h30)
CS: Shape analysis
Grand Large Ouest
10:00 - 12:30 (2h30)
CS: Sparse and high-dimensional approximation 2
Bouvet
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
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
16:30 - 19:00 (2h30)
CS: Machine learning, Generative models, Transformers
Bouvet
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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
8:30 - 11:00 (2h30)
CS: Computer-aided geometric design 3
Bouvet
8:30 - 11:00 (2h30)
CS: Machine learning theory, Neural networks
Grand Large Ouest
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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