Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview | |
Location: G22/208 Conference Room 208 in Building 22; size: 40 |
Date: Tuesday, 19/Mar/2024 | |
8:30am - 10:30am |
S21.01: Mathematical Signal and Image Processing (Part I) Location: G22/208 Chair: Anne Wald Chair: Johannes Maly Virtual X-rays: parallel-beam tomography hidden within electric probing 9:10am - 9:30am Denoising of Sphere- and SO(3)-valued Data by Relaxed Tikhonov Regularization 9:30am - 9:50am Accelerating 3D Topology Optimization through Sample-Efficient Deep Learning 9:50am - 10:10am Postprocessing U-Net for the Kuopio Tomography Challenge 2023 |
4:30pm - 6:30pm |
S21.02: Mathematical Signal and Image Processing (Part II) Location: G22/208 Chair: Anne Wald Chair: Johannes Maly Data driven enhanced methods in terahertz tomography including a partially learned Landweber iteration 4:50pm - 5:10pm Using feasibility constraints in the data space do deal with unknown rigid motion in (Nano-)CT 5:10pm - 5:30pm Real data EIT reconstruction using virtual X-rays and deep learning 5:30pm - 5:50pm Reconstruction of active forces generated by actomyosin networks 5:50pm - 6:10pm Motion Correction in Fluorescence Microscopy |
Date: Wednesday, 20/Mar/2024 | |
8:30am - 9:30am |
S21.03: Mathematical Signal and Image Processing (Part III) Location: G22/208 Chair: Johannes Maly Chair: Anne Wald Differential Prony-Type Method for Approximation of the Gaussians 8:50am - 9:10am Fourier-Domain Inversion for the Modulo Radon Transform 9:10am - 9:30am THE INFORMATION GEOMETRY OF SMART |
2:00pm - 4:00pm |
S21.04: Mathematical Signal and Image Processing (Part IV) Location: G22/208 Chair: Johannes Maly Chair: Anne Wald Algorithmic regularization in asymmetric overparameterized matrix sensing 2:20pm - 2:40pm Unraveling Acoustic Signal Patterns in Fisheries Through DINO-Based Self-Supervised Learning 2:40pm - 3:00pm Comparing the Performance of Beamformer Algorithms in Estimating Orientations of Neural Sources |
4:30pm - 6:30pm |
S17.01: Applied and Numerical Linear Algebra Location: G22/208 Chair: Kathryn Lund Numerical linear algebra for data assimilation 5:10pm - 5:30pm Balanced Truncation using Noisy Gramians for Bayesian Inverse Problems with Quadratic Nonlinearity 5:30pm - 5:50pm Low-Rank Multi-Patch IGA 5:50pm - 6:10pm Real-world datasets ideality for photometric stereo under unknown lighting 6:10pm - 6:30pm On the injectivity radius of the Stiefel manifold |
Date: Thursday, 21/Mar/2024 | |
8:30am - 10:30am |
S17.02: Applied and Numerical Linear Algebra Location: G22/208 Chair: Kathryn Lund Riemannian optimization on the symplectic Stiefel manifold 8:50am - 9:10am Optimization of Approximate Maps for Linear Systems Arising in Discretized PDEs 9:30am - 9:50am Recycling of Krylov subspaces in the simulation of nonlinear dynamic systems 9:50am - 10:10am Struture preserving approximations to Cayley transforms 10:10am - 10:30am Reorthogonalized Pythagorean variants of block classical Gram Schmidt |
2:00pm - 4:00pm |
S17.03: Applied and Numerical Linear Algebra Location: G22/208 Chair: Davide Palitta Sketched and truncated Krylov methods for core linear algebra problems 2:40pm - 3:00pm A new rational Krylov subspace based projection method for solving large-scale algebraic Riccati equations via low-rank approximations 3:00pm - 3:20pm Extreme solutions of algebraic Riccati inequalities 3:20pm - 3:40pm Low-rank solution of restricted discrete-time Gramians |
Date: Friday, 22/Mar/2024 | |
8:30am - 10:30am |
S17.04: Applied and Numerical Linear Algebra Location: G22/208 Chair: Davide Palitta A new fast numerical method for the generalized Rosen-Zener model and its application to matrix exponential approximation 8:50am - 9:10am Adaptive rational Krylov methods for exponential Runge--Kutta integrators 9:10am - 9:30am Mixed-precision Paterson--Stockmeyer method for evaluating matrix polynomials 9:50am - 10:10am The Fréchet derivative of the tensor t-function |
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