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Preprints by WIAS Researchers in Other Preprint Series 2023

  • R. Araya, A. Caiazzo, F. Chouly, Stokes problem with slip boundary conditions using stabilized finite elements combined with Nitsche, Preprint no. hal-04077986, Hyper Articles en Ligne (HAL), 2023.
  • N. Kornilov, A. Gasnikov, P. Dvurechensky, D. Dvinskikh, Gradient free methods for non-smooth convex optimization with heavy tails on convex compact, Preprint no. arXiv:2304.02442, Cornell University, 2023, DOI 10.48550/arXiv.2304.02442 .
  • A. Sadiev, E. Gorbunov, S. Horváth, G. Gidel, P. Dvurechensky, A. Gasnikov, P. Peter, High-probability bounds for stochastic optimization and variational inequalities: The case of unbounded variance, Preprint no. arXiv:2302.00999, Cornell University, 2023, DOI 10.48550/arXiv.2302.00999 .
  • P. Farrell, J. Moatti, M. O'Donovan, S. Schulz, Th. Koprucki, Importance of satisfying thermodynamic consistency in light emitting diode simulations, Preprint no. hal-04012467, Hyper Articles en Ligne (HAL), 2023.
  • B. Spetzler, D. Abdel, F. Schwierz, M. Ziegler, P. Farrell, The role of mobile point defects in two-dimensional memristive devices, Preprint no. arXiv:2304.06527, Cornell University, 2023, DOI 10.48550/arXiv.2304.06527 .
  • B. García-Archilla, V. John, S. Katz, J. Novo, POD-ROMs for incompressible flows including snapshots of the temporal derivative of the full order solution: Error bounds for the pressure, Preprint no. arXiv:2304.08313, Cornell University, 2023, DOI 10.48550/arXiv.2304.08313 .
  • M. Kantner, L. Mertenskötter, Accurate evaluation of self-heterodyne laser linewidth measurements using Wiener filters, Preprint no. arXiv:2301.10645, Cornell University, 2023, DOI 10.48550/arXiv.2301.10645 .
  • R. Finn, M. O'Donovan, P. Farrell, J. Moatti, T. Streckenbach, Th. Koprucki, S. Schulz, Theoretical study of the impact of alloy disorder on carrier transport and recombination processes in deep UV (Al, Ga)N light emitters, Preprint no. hal-04037215, Hyper Articles en Ligne (HAL), 2023.
  • A. Kofler, F. Altekrüger, F.A. Ba, Ch. Kolbitsch, E. Papoutsellis, D. Schote, C. Sirotenko, F.F. Zimmermann, K. Papafitsoros, Learning regularization parameter-maps for variational image reconstruction using deep neural networks and algorithm unrolling, Preprint no. arXiv:2301.05888, Cornell University, 2023, DOI 10.48550/arXiv.2301.05888 .
  • A. Kofler, F. Altekrüger, F.A. Ba, Ch. Kolbitsch, E. Papoutsellis, D. Schote, C. Sirotenko, F.F. Zimmermann, K. Papafitsoros, Unrolled three-operator splitting for parameter-map learning in low dose X-ray CT reconstruction, Preprint no. arXiv:2304.08350, Cornell University, 2023, DOI 0.48550/arXiv.2304.08350 .
  • V. Spokoiny, Nonlinear regression: Finite sample guarantees, Preprint no. arXiv:2305.08193, Cornell University, 2023, DOI 10.48550/arXiv.2305.08193 .
  • V. Spokoiny, Sharp deviation bounds and concentration phenomenon for the squared norm of a sub-Gaussian vector, Preprint no. arXiv:2305.07885, Cornell University, 2023, DOI 10.48550/arXiv.2305.07885 .
  • V. Spokoiny, Mixed Laplace approximation for marginal posterior and Bayesian inference in error-in-operator model, Preprint no. arXiv:2305.08193, Cornell University, 2023, DOI 10.48550/arXiv.2305.09336 .
  • Z. Zhong, J.-J. Zhu, Nonlinear Wasserstein distributionally robust optimal control, Preprint no. arXiv:2304.07415, Cornell University, 2023, DOI 10.48550/arXiv.2304.07415 .
  • J.-J. Zhu, Propagating kernel ambiguity sets in nonlinear data-driven dynamics models, Preprint no. arXiv:2304.14057, Cornell University, 2023, DOI 10.48550/arXiv.2304.14057 .
  • O. Butkovsky, K. Lê, L. Mytnik, Stochastic equations with singular drift driven by fractional Brownian motion, Preprint no. arXiv:2302.11937, Cornell University, 2023, DOI 10.48550/arXiv.2302.11937 .
  • J. Boddapati, M. Flaschel, S. Kumar, L. De Lorenzis, Ch. Daralo, Single-test evaluation of directional elastic properties of anisotropic structured materials, Preprint no. arXiv:2304.09112, Cornell University, 2023, DOI 10.48550/arXiv.2304.09112 .
  • M. Flaschel, H. Yu, N. Reiter, J. Hinrichsen, S. Budday, P. Steinmann, S. Kumar, L. De Lorenzis, Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID, Preprint no. arXiv:2305.16362, Cornell University, 2023, DOI 10.48550/arXiv.2305.16362 .
  • L. Liang, D. Sun, K.-Ch. Toh, A squared smoothing Newton method for semidefinite programming, Preprint no. arXiv:2303.05825, Cornell University, 2023, DOI 10.48550/arXiv.2303.05825 .
  • K. Ebrahimi-Fard, F. Patras, N. Tapia, L. Zambotti, Shifted substitution in non-commutative multivariate power series with a view toward free probability, Preprint no. arXiv:2204.01445, Cornell University, 2023, DOI 10.48550/arXiv.2204.01445 .