Preprints by WIAS Researchers in Other Preprint Series 2022

  • CH. Bayer, P.K. Friz, N. Tapia, Stability of deep neural networks via discrete rough paths, Preprint no. arXiv:2201.07566, Cornell University, 2022.
  • A. Gasnikov, A. Novitskii, V. Novitskii, F. Abdukhakimov, D. Kamzolov, A. Beznosikov, M. Takáč, P. Dvurechensky, B. Gu, The power of first-order smooth optimization for black-box non-smooth problems, Preprint no. arXiv:2201.12289, Cornell University, 2022, DOI 10.48550/arXiv.2201.12289 .
  • M. Alkousa, A. Gasnikov, P. Dvurechensky, A. Sadiev, L. Razouk, An approach for non-convex uniformly concave structured saddle point problem, Preprint no. arXiv:2202.06376, Cornell University, 2022, DOI 10.48550/arXiv.2202.06376 .
  • P. Friz, Rough stochastic differential equations, Preprint no. arXiv:2106.10340, Cornell University, 2022, DOI 10.48550/arXiv.2106.10340 .
  • C. Bellingeri, P.K. Friz, S. Paycha, R. Preiss, Smooth rough paths, their geometry and algebraic renormalization, Preprint no. arXiv:2111.15539, Cornell University, 2022, DOI 10.48550/arXiv.2111.15539 .
  • G.R. Barrenechea, V. John, P. Knobloch, Finite element methods respecting the discrete maximum principle for convection-diffusion equations, Preprint no. 2204.07480/1--2204.07480/77, Cornell University Library, arXiv.org, .
  • A. Jha, V. John, P. Knobloch, Adaptive grids in the context of algebraic stabilizations for convection-diffusion-reaction equations, Preprint no. 2007.08405, Cornell University Library, arXiv.org, 2022.
  • V. Spokoiny, Finite samples inference and critical dimension for stochastically linear models, Preprint no. arXiv:2201.06327, Cornell University, 2022.
  • S. Mohammadi, T. Streubel, L. Klock, A. Lutti, K. Pine, S. Weber, L. Edwards, P. Scheibe, G. Ziegler, J. Gallinat, S. Kuhn, M. Callaghan, N. Weiskopf, K. Tabelow, Error quantification in multi-parameter mapping facilitates robust estimation and enhanced group level sensitivity, Preprint no. bioRxiv: 2022.01.11.475846, Cold Spring Harbor Laboratory, 2022, DOI 10.1101/2022.01.11.475846 .
  • J.M. Oeschger, K. Tabelow, S. Mohammadi, Axisymmetric diffusion kurtosis imaging with Rician bias correction: A simulation study, Preprint no. bioRxiv2022.03.15.484442, Cold Spring Harbor Laboratory, bioRxiv, 2022, DOI 10.1101/2022.03.15.484442 .
  • L. Schülen, A. Gerdes, M. Wolfrum, A. Zakharova, The solitary route to chimera states, Preprint no. 2204.00385, Cornell University Library, arXiv.org, 2022, DOI /10.48550/arXiv.2204.00385 .
  • A. Erhardt, E. Wahlén, J. Weber, Bifurcation analysis for axisymmetric water waves, Preprint no. arXiv:2202.01754, arXiv, Cornell University, 2022, DOI https://doi.org/10.48550/arXiv.2202.01754 .
  • F. Delarue, W. Salkeld, Probabilistic rough paths II Lions-Taylor expansions and random controlled rough paths, Preprint no. arXiv:2203.01185, Cornell University, 2021, DOI 10.48550/arXiv.2203.01185 .