Program for Monday, June 29th: Talk View

PROGRAM FOR MONDAY, JUNE 29TH: TALK VIEW

Days:

next day

all days

View: with abstracts session overview

9:00

9:30

10:00

10:30

11:00

11:30

12:00

12:30

13:00

13:30

14:00

14:30

15:00

15:30

16:00

16:30

17:00

17:30

18:00

18:30

19:00

19:30

09:00-10:00

Low-regularity integrators for nonlinear dispersive equations via continuous formulations of numerical

Buyang Li, Yifei Wu, Fangyan Yao

10:00-10:30 Coffee Break

10:30-11:00

Geometric regularisation of two-dimensional turbulence

Sagy Ephrati, Erik Jansson, Klas Modin

11:00-11:30

Structure preservation in plasmas via matrix hydrodynamics

Michael Roop

11:30-12:00

Geometric low-rank approximation of the Zeitlin model of incompressible fluids on the sphere

Cecilia Pagliantini

12:00-12:30

Two-dimensional fluids via matrix hydrodynamics

Milo Viviani, Klas Modin

10:30-11:00

Quasi-stationarity diagnostics with recurrent neural networks

Noé Blassel

11:00-11:30

Entropic metastability in the narrow escape problem

Louis Carillo, Urbain Vaes, Tony Lelievre, Gabriel Stoltz

11:30-12:00

Validity of the Norton formulation of non--equilibrium molecular dynamics for mean--field interacting particle

Shiva Darshan

12:00-12:30

Mean-Field Molecular Dynamics Approximation of Quantum Statistical Observables with Machine Learning

Xin Huang, Petr Plecháč, Mattias Sandberg, Anders Szepessy

10:30-11:00

Exponential integrator for dispersive equations with concentrated potential

Guillaume Bal

11:00-11:30

A Fast Algorithm for the Fractional Fokker–Planck Equation in Arbitrary Dimensions

Shidong Jiang

11:30-12:00

Computational methods for the nonlinear Schroedinger equation with low regularity potential and

Weizhu Bao

10:30-11:00

Cross Algorithms for Dynamical Matrix and Tensor Low-Rank Approximation in Fluid Mechanics

Hessam Babaee, Behzad Ghahremani

11:00-11:30

Combining dynamical low-rank approximation with local refinement strategies for proton radiation

Pia Stammer

11:30-12:00

One Step Forward, One Step Back: A Memory-Efficient Dynamical Low-Rank Scheme for the Adjoint State

Julian Mangott, Lukas Einkemmer

12:00-12:30

Parallel Second-Order Time Integration of Low-Rank Tensors

Dominik Sulz, Jonas Kusch

10:30-11:00

Graph zeta methods for efficient simulations of long-range interacting quantum lattices

Andreas Alexander Buchheit

11:00-11:30

Geometric methods for electronic dynamics and excited-state calculations

Eric Cances

11:30-12:00

Numerical Approximation of Ginzburg–Landau Energy Minimizers: Finite Elements and Neural Network

Christian Döding

12:00-12:30

Energy-Based hp-Adaptivity for the Approximation of Ground States of the Gross–Pitaevskii Equation with

Thomas Wihler

10:30-11:00

Non mean field Vicsek type models for collective behaviour:

Michela Ottobre

11:00-11:30

Coarse-Grained Modeling of Clustering Dynamics in Interacting Particle Systems

Stefanie Winkelmann, Nathalie Wehlitz, Christof Schütte, Grigorios A. Pavliotis

11:30-12:00

Agent-based models in Opinion Dynamics: model reduction and mean-field limits

Natasa Djurdjevac Conrad, Ana Djurdjevac, Federico Cornalba, Sebastian Zimper

12:00-12:30

Data-driven approximation of transfer operators for mean-field stochastic differential equations

Eirini Ioannou

10:30-11:00

Data-driven Discovery of Asymmetric Interacting Particle Systems

Jinchao Feng, Sui Tang

11:00-11:30

Multigrade Neural Network Approximation and Layer-wise Geometric Rates

Shijun Zhang

11:30-12:00

Single-Neuron Optimization based Effective Training Method for Neural Networks with Smooth

Yeonjong Shin

12:00-12:30

A Cartesian Grid-based Boundary Integral Method for Acoustic Scattering

Wenjun Ying

10:30-11:00

Error analysis for a finite element discretization of a radially symmetric harmonic map heat flow

Nam Anh Nguyen, Arnold Reusken

11:00-11:30

The two-phase Stefan problem on an evolving surface

Philip Herbert

11:30-12:00

A polytopal discrete de Rham scheme for Einstein's equations

Jia Jia Qian

10:30-11:00

Structure-preserving low-regularity integrators for dispersive nonlinear equations

Yvonne Alama Bronsard, Yvain Bruned, Georg Maierhofer, Katharina Schratz

10:30-11:00

Surrogate Modeling of 3D Rayleigh-Bénard Convection with Equivariant Autoencoders

Fynn Fromme, Hans Harder, Christine Allen-Blanchette, Sebastian Peitz

11:00-11:30

Geometric Numerical Integration with Nonlinear Approximation Spaces

Michael Kraus, Zeyuan Li

11:30-12:00

A kernel approach for the learning of Wasserstein geometric flows

Juan-Pablo Ortega

10:30-11:00

A Variational Framework for the Algorithmic Complexity of PDEs

Juan Esteban Suarez

11:00-11:30

Weak Generative Sampler

Xiang Zhou

11:30-12:00

Rapid training of Hamiltonian Graph Networks using random features

Atamert Rahma, Chinmay Datar, Ana Čukarska, Felix Dietrich

10:30-11:00

The Parker Problem - An Update

Gunnar Hornig

11:00-11:30

The limitations of magneto-frictional relaxation

Anthony Yeates

11:30-12:00

An energy and entrophy-conserving enriched Galerkin method for incompressible Navier-Stokes

Qian Zhang

12:00-12:30

Recent progress, gaps and opportunities in extended-MHD modelling for fusion energy applications

Adelle Wright

10:30-11:00

CELL-BASED MODELLING AND SIMULATION OF ELECTRICAL AND CHEMICAL INTERPLAY IN EXCITABLE TISSUE

Ada Johanne Ellingsrud

11:00-11:30

A 3D-1D model of the electrostatic problem on the electrical treeing

Beatrice Crippa, Anna Scotti, Andrea Villa

11:30-12:00

Accurate Near-Contact Simulation in 2D Stokes Flow via Two-Body Preconditioning

Anna Broms, Alex H. Barnett, Anna-Karin Tornberg

12:00-12:30

Fast evaluation of layer and volume potentials for the modified Helmholtz equation

Edith Frisk Gärtner

10:30-10:50

Accelerating SAV-based optimisation via randomised low-rank Hessian approximation

Ryo Sagawa, Daisuke Furihata, Yuto Miyatake

10:50-11:10

Towards the Theory of Physics-Informed Gaussian Processes

Tamim El Ahmad, Tim Sullivan, Aretha Teckentrup

11:10-11:30

Physics-Informed Machine Learning Techniques with MATLAB

Conor Daly

11:30-11:50

Machine Learning Assisted Two-Level Mixed Finite Element Method for the Darcy--Forchheimer Model

Johnson Audu, Faisal Fairag

11:50-12:10

A Nonlinear Tensor Network Architecture for Compressed End-to-End Learning

Jana Jovcheva, Estelle Massart, Nick Vannieuwenhoven

12:10-12:30

Reliable Forecasting via Physics-Guided Stochastic Augmentation

Xuan Wu, Kailiang Wu

12:30-14:00 Lunch Break

14:00-15:00

Fast and Accurate Tensor Decompositions on Infinite-Dimensional Function Spaces

Tamara Kolda

15:00-15:30 Coffee Break

15:30-16:00

A feedback-control perspective on sampling for Langevin and McKean-Vlasov dynamics

Dante Kalise, Lucas M. Moschen, Grigorios Pavliotis

16:00-16:30

Velocity jumps for faster molecular dynamics simulations

Nicolaï Gouraud

16:30-17:00

Importance sampling for Adaptive Multilevel Splitting

Lune Maillard

17:00-17:30

Long-time behaviour of kinetic Langevin sampler

Katharina Schuh

15:30-16:00

Transverse instability studies for line solitary waves in cubic-quintic nonlinear Schrödinger

Christof Sparber

16:00-16:30

Explicit symmetric low-regularity integrators for the nonlinear Schrodinger equation

Yue Feng, Georg Maierhofer, Chushan Wang

16:30-17:00

Numerical Investigation of the Schrödinger Equation with Low-Regularity Nonlinearity

Xiaolong Zhang

17:00-17:30

A Wong–Zakai resonance-based integrator for the nonlinear Schrodinger equation with white noise

Jianbo Cui

15:30-16:00

Low-Rank Anderson Acceleration for Nonlinear Matrix and Tensor Equations

Daniel Appelo, Yingda Cheng

16:00-16:30

Low-rank training of tensor-structured neural networks

E. Zangrando, S. Schotthöfer, G. Ceruti, J. Kusch, F. Tudisco

16:30-17:00

FeDLRT: Federated Dynamical Low-Rank Training

Paul Laiu, Steffen Schotthoefer

15:30-16:00

Global space-time low-complexity numerical methods for the time-dependent Schrödinger equation

Virginie Ehrlacher, Mi-Song Dupuy, Clément Guillot

16:00-16:30

On the numerical analysis of mean-field models for electronic structure calculations in perfect

Muhammad Hassan

16:30-17:00

Splitting methods for the Gross-Pitaevskii equation on the full space and vortex nucleation

Gaspard Kemlin, Quentin Chauleur

17:00-17:30

Structure-Preserving Integration for Magnetic Gaussian Wave Packet Dynamics

Caroline Lasser, Sebastian Merk

15:30-16:00

Generative AI for Uncertainty Quantification and Data Assimilation

Guannan Zhang

16:00-16:30

Geometric generalization of neural operators from kernel integral perspective

Daniel Zhengyu Huang

16:30-17:00

Geometric Property of the Brinkman Penalization Method for Hamiltonian PDEs and Its Applications

Teo Deveney, Baige Xu, Takaharu Yaguchi

17:00-17:30

Physics-Informed Laplace Neural Operator: Data-Efficient and Out-of-Distribution Robust PDE Surrogate

Heechang Kim, Minseok Choi

15:30-16:00

Sequential Monte Carlo for Bayesian Inference Using Randomized Likelihoods

Josef Martínek

16:00-16:30

Multi-fidelity and multi-level Monte Carlo methods for kinetic models of traffic flow

Elisa Iacomini, Lorenzo Pareschi

16:30-17:00

Telescopic Projective Integration and Stochastic Galerkin for the Boltzmann Equation with

Mattia Fontana

17:00-17:30

Adjoint Monte Carlo Simulation of Kinetic Equations with Reversible Random Number Generators

Emil Løvbak, Giovanni Samaey

15:30-16:00

Functional Data Analysis Using Neural Networks

Jun Fan

16:00-16:30

Unbounded Density Ratio Estimation and Its Application to Covariate Shift Adaptation

Ren-Rui Liu, Jun Fan, Lei Shi, Zhengchu Guo

16:30-17:00

Learning Green's functions from data

Jiading Liu, Lei Shi, Hien Duy Nguyen, Xin Guo

15:30-16:00

A Minimal-Deformation-Rate Framework for Surface Evolution: From Curvature Flows to Shape

Rong Tang

16:00-16:30

Error estimates for backward difference full discretization of Willmore flow for surfaces

Nils Bullerjahn, Balázs Kovács

16:30-17:00

Simulations of Contact-Line Dynamics Using a Novel Lattice-Boltzmann-Finite-Element Method

Zachary Candelaria

15:30-16:00

Backward Error Analysis of Isospectral Integrators via Lie–Poisson Reduction of Butcher Series

Eugen Bronasco, Klas Modin

16:00-16:30

Post processed frozen-flow methods for the long time sampling of ergodic dynamics on Riemannian

Sébastien Macé

16:30-17:00

Numerical preservation of measures of ODEs and SDEs with aromatic structures

Adrien Busnot Laurent

17:00-17:30

From explicit formulas to Wave Kinetic theory for the Benjamin–Ono equation

Yvonne Alama Bronsard

15:30-16:00

Splitting methods for momentum Langevin diffusions on Lie groups of compact type

Roy Schieven, Erwin Luesink, Sonja Cox

16:00-16:30

Mean-Square Convergence for SDEs on Riemannian Manifolds

Alexander Lewis

16:30-17:00

An exponential-free structure preserving integrator for stochastic Lie-Poisson systems

Erik Jansson, Sagy Ephrati, Annika Lang, Erwin Luesink

17:00-17:30

Noise and stochastic processes on homogeneous spaces

Erwin Luesink, Sonja Cox, Roy Schieven

15:30-16:00

On Tackling High-Dimensional Nonconvex Optimization via Stochastic First-Order Methods

Yue Xie

16:00-16:30

Stability of the Second-order Elliptic Equation in Hölder Space and its Application to the PINN

Chen-Yang Dai

16:30-17:00

Mental Math: Spiking Neuromorphic Circuits for Solving Partial Differential Equations

Bradley Theilman

15:30-16:00

Structure-preserving Magnetic Relaxation in Stellarator Geometries

Tobias Blickhan, Julianne Stratton, Alan A. Kaptanoglu

16:00-16:30

A Topology Preserving, Energy Dissipative, High-order Lagrangian Finite Element Method for Magnetic Relaxation in

Shipeng Mao, Ruijie Xi

16:30-17:00

Finite element antidynamo theorems and generalized Hodge theory

Kaibo Hu

17:00-17:30

Helicity-preserving finite element schemes for magnetohydrodynamics

Mingdong He

15:30-16:00

Stuart-Landau Oscillatory Graph Neural Network

Kaicheng Zhang, David N Reynolds, Piero Deidda, Francesco Tudisco

16:00-16:30

Multi-Level Monte Carlo Training in Operator Learning

S. Fresca, J. Rowbottom, P. Lio', C.-B. Schönlieb, N. Boullé

16:30-17:00

Stability of Numerical Integrators on Riemannian Manifolds

Marta Ghirardelli, Brynjulf Owren, Elena Celledoni

17:00-17:30

Geometric PDE-based Neural Networks for Image Processing

Bart Smets

15:30-16:00

Energy-stable numerical methods for two-phase viscoelastic flows

Dennis Trautwein

16:00-16:30

Shape and topology optimization for additive manufacturing processes

Maximilian Urmann, Luise Blank

16:30-17:00

Cut Finite Element Methods for Curvature‑Driven Interface Evolution

Nanna Berre, André Massing, Eric Neiva

17:00-17:30

Conservative space–time CutFEM for variable surface-tension two-phase flow

Sebastian Myrbäck, Sara Zahedi

17:30-19:30 Reception