Preprints 2021

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
  • 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
  • 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 >>
19.07.2021, 22:02