Preprint 30/2021
- Florio Maria Ciaglia, Jürgen Jost, and Lorenz J. Schwachhöfer:
- What Lie algebras can tell us about Jordan algebras
- more information >>
Preprint 29/2021
- Ivan V. Oseledets, Maxim V. Rakhuba, and André Uschmajew:
- Local convergence of alternating low-rank optimization methods with overrelaxation
- revised version: June 2022
- more information >>
Preprint 28/2021
- Pavithra Elumalai, Yasharth Yadav, Nitin Williams, Emil Saucan, Jürgen Jost, and Areejit Samal:
- Graph Ricci Curvatures Reveal Disease-related Changes in Autism Spectrum Disorder
- more information >>
Preprint 27/2021
- Henrik Eisenmann and André Uschmajew:
- Maximum relative distance between real rank-two and rank-one tensors
- revised version: September 2022
- more information >>
Preprint 26/2021
Preprint 25/2021
- Hoang Duc Luu and Peter Kloeden:
- Numerical attractors for rough differential equations
- revised version: June 2022
- more information >>
Preprint 24/2021
- Leo Margolis, Taro Sakurai, and Mima Stanojkovski:
- Abelian invariants and a reduction theorem for the modular isomorphism problem
- more information >>
Preprint 23/2021
- Jürgen Jost, Raffaella Mulas, and Dong Zhang:
- Petals and Books: The largest Laplacian spectral gap from 1
- more information >>
Preprint 22/2021
- Johannes Müller and Guido Montúfar:
- The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
- more information >>
Preprint 21/2021
- Pradeep Kumar Banerjee and Guido Montúfar:
- PAC-Bayes and Information Complexity
- more information >>
Preprint 20/2021
- Felix Otto, Maxime Prod'homme, and Tobias Ried:
- Variational Approach to Regularity of Optimal Transport Maps: General Cost Functions
- more information >>
Preprint 19/2021
- Jiarui Chen and Qun Chen:
- A Perelman-type no shrinking breather theorem for noncompact harmonic Ricci flow
- more information >>
Preprint 18/2021
- Hanna Tseran and Guido Montúfar:
- On the Expected Complexity of Maxout Networks
- more information >>
Preprint 17/2021
- André Uschmajew and Bart Vandereycken:
- A note on the optimal convergence rate of descent methods with fixed step sizes for smooth strongly convex functions
- revised version: March 2022
- more information >>
Preprint 16/2021
- Alessandro Neri:
- Twisted Linearized Reed-Solomon Codes: A Skew Polynomial Framework
- more information >>
Preprint 15/2021
- Alessandro Neri, Paolo Santonastaso, and Ferdinando Zullo:
- Extending two families of maximum rank distance codes
- more information >>
Preprint 14/2021
- Taylor Brysiewicz, Holger Eble, and Lukas Kühne:
- Enumerating chambers of hyperplane arrangements with symmetry
- more information >>
Preprint 13/2021
- Florio Maria Ciaglia and Fabio Di Nocera:
- Group actions and Monotone Metric Tensors: The qubit case
- more information >>
Preprint 12/2021
- Federico Castillo, Jean-Philippe Labbe, Julia Liebert, Arnau Padrol, Eva Philippe, and Christian Schilling:
- An effective solution to convex 1-body N-representability.
- more information >>
Preprint 11/2021
- Guido Montúfar, Yue Ren, and Leon Zhang:
- Sharp bounds for the number of regions of maxout networks and vertices of Minkowski sums
- more information >>
Preprint 10/2021
- Yassine El Maazouz, Marvin Anas Hahn, Alessandro Neri, and Mima Stanojkovski:
- Valued rank-metric codes
- more information >>
Preprint 9/2021
- Guido Montúfar, Johannes Rauh, and Nihat Ay:
- Task-agnostic constraining in average reward POMDPs
- more information >>
Preprint 8/2021
- Guido Montúfar, Johannes Rauh, and Nihat Ay:
- Uncertainty and Stochasticity of Optimal Policies
- more information >>
Preprint 7/2021
- Türkü Özlüm Çelik, Asgar Jamneshan, Guido Montúfar, Bernd Sturmfels, and Lorenzo Venturello:
- Optimal Transport to a Variety
- more information >>
Preprint 6/2021
- Wuchen Li, Alex Tong Lin, and Guido Montúfar:
- Affine Natural Proximal Learning
- more information >>
Preprint 5/2021
- Johannes Rauh, Nihat Ay, and Guido Montúfar:
- A continuity result for optimal memoryless planning in POMDPs
- more information >>
Preprint 4/2021
- Henrik Eisenmann, Felix Krahmer, Max Pfeffer, and André Uschmajew:
- Riemannian thresholding methods for row-sparse and low-rank matrix recovery
- revised version: September 2022
- more information >>
Preprint 3/2021
- Noémie Combe, Philippe Combe, and Hanna Nencka:
- Frobenius Statistical manifolds, Geometric invariants & Hidden symmetries
- more information >>
Preprint 2/2021
- Carlotta Langer and Nihat Ay:
- Apportionment of work among environment, body and brain of an agent
- revised version: February 2021
- more information >>
Preprint 1/2021
- Alessandra Bernardi, Claudia De Lazzari, and Fulvio Gesmundo:
- Dimension of Tensor Network Varieties
- more information >>
30.09.2022, 14:42