September 23, 2025
1. Arzu Ahmadova (University of Duisburg-Essen, Germany)
Certifying PINNs: A Posteriori Error Bounds for Dynamical Systems
2. Emma Andersdotter (Umeå University, Sweden)
A Geometric Framework for NODEs on Homogeneous Spaces
3. Marta Aparicio Rodriguez (Imperial College London, United Kingdom)
Clustering Dynamics in Transformers
4. Wiebke Bartolomaeus (LMU Munich, Germany)
Convergence and Implicit Bias in Gradient Descent Algorithms
5. Maxim Beketov (HSE University, Russia)
Topology-aware subsampling from point clouds
6. Erik Lien Bolager (Technical University of Munich, Germany)
Data-informed distributions for sampling neural network weights
7. Jonas Bresch (TU Berlin, Germany)
Unsupervised Ground Metric Learning
8. Jonas Cassel (Heidelberg University, Germany)
Gauge Theory Meets Data
9. Javier Castro (TU Berlin, Germany)
Thermodynamics-informed Neural Networks (THINNs)
10. Pattarawat Chormai (TU Berlin, Germany)
A Perspective on Relevant Dimensions of Artificial Neural Networks
11. Naima Elosegui Borras (TU Berlin, Germany)
The effect of logarithmic costs on optimal transport maps
12. Hannaneh Fahimi (Max Planck Institute for Mathematics in the Sciences, Germany)
IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips Filtrations
13. Timm Faulwasser (Hamburg University of Technology, Germany)
The Optimal Control Perspective on Deep Neural Networks – Early Exits, Insights, and Open Problems
14. Johannes Grün (DESY, Germany)
Near-Field Holo-Tomography Reconstruction Using Neural Radiance Fields
15. Kanan Gupta (University of Pittsburgh, United States)
Accelerated Optimization in ML: Challenges of Non-Convexity and Noisy Gradients
16. Utku Gurcuoglu (Turkish-German University, Türkiye)
Uncertainty-Aware Surface Roughness Estimation Using Focus Variation Profilometry
17. Moritz Hollenberg (Hamburg University of Technology, Germany)
Physics-Informed Neural Networks for Heat Flux Reconstruction in Electrical Impedance Tomography
18. Ismail Huseynov (Physikalisch-Technische Bundesanstalt, Germany)
Certifying PINNs: A Posteriori Error Bounds for Dynamical Systems
19. Francesco Iafrate (University of Hamburg, Germany)
Learning Continuous-Time Network Dynamics via Network and Sheaf SDEs
20. Jürgen Kampf (University Hospital of Essen, Germany)
Predicting mortality from echocardiographies: A comparison of various machine learning algorithms
21. Filip Kovačević (Institute of Science and Technology Austria, Austria)
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
22. Gitte Kremling (University of Hamburg, Germany)
Statistical Inference for Neural Networks
23. Manish Krishan Lal (TU Munich, Germany)
From blocks to manifolds: Neural inference as an L2 projection
24. Aleksei Kroshnin (WIAS, Berlin, Germany)
On complexity of accelerated gradient methods for optimizing locally smooth convex functions
25. Sara-Viola Kuntz (TU Munich, Germany)
The Influence of the Network Architecture on the Universal Approximation Capability
26. Jonghyeon Lee (California Institute of Technology, United States)
KROM: Kernelized Reduced Order Model
27. Max Lewerenz (University of Hamburg, Germany)
Kernel-Based Reconstruction in Magnetic Particle Imaging
28. Jannis Lübsen (Hamburg University of Technology, Germany)
Accelerating Safe Bayesian Optimization with Simulations
29. Yannick Lunk (Universität Würzburg, Germany)
Sparse training for neural networks based on linearized Bregman iterations
30. Floor Maarschalkerwaart (University of Twente, Netherlands)
Perturbation-Aware Distributionally Robust Optimization for Inverse Problems
31. Gregor Maier (University of Bonn, Germany)
The Sample Complexity of Learning Lipschitz Operators with respect to Gaussian Measures
32. Levin Maier (University Heidelberg, Germany)
From probability simplices to reinforcement learning: a journey through ℓP-information geometry
33. Md Rasel Mandol (National Institute of Technology, India)
Efficient Medical Image Segmentation on Edge Devices
34. Álvaro Márquez (Universidad de Chile, Chile)
Construction of stellar atmospheres models throught the use of PINNs
35. Eloi Martinet (JMU Würzburg, Germany)
Meshless Shape Optimization using Neural Networks and Partial Differential Equations on Graphs
36. Thomas Martinetz (University of Lübeck, Germany)
Good by Default? Generalization in Highly Overparameterized Networks
37. Hannes Matt (Katholische Universität Eichstätt-Ingolstadt, Germany)
Linear regression with overparameterized linear neural networks: Tight upper and lower bounds for implicit ℓ1-regularization
38. Philipp Misof (Chalmers University of Technology, Sweden)
Equivariant Neural Tangent Kernels
39. Ionut-Vlad Modoranu (Institute of Science and Technology Austria, Austria)
How to reduce the memory usage of Adam optimizer?
40. Ali Mohaddes (University of Hamburg, Germany)
Signature Lasso for Fractional Brownian Motion Processes
