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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.
  • F. Galarce, J. Mura, A. Caiazzo, Bias and multiscale correction methods for variational state estimation algorithms, Preprint no. arXiv:2311.14031, Cornell University, 2023, DOI 10.48550/arXiv.2311.14031 .
  • E. Gladin, A. Gasnikov, P. Dvurechensky, Accuracy certificates for convex minimization with inexact Oracle, Preprint no. arXiv:2310.00523, Cornell University, 2023, DOI 10.48550/arXiv.2310.00523 .
  • E. Gorbunov, A. Sadiev, D. Dolinova, S. Horvát, G. Gidel, P. Dvurechensky, A. Gasnikov, P. Richtárik, High-probability convergence for composite and distributed stochastic minimization and variational inequalities with heavy-tailed noise, Preprint no. arXiv:2310.01860, Cornell University, 2023, DOI 10.48550/arXiv.2310.01860 .
  • N. Kornilov, A. Gasnikov, P. Dvurechensky, D. Dvinskikh, Gradient free methods for non-smooth convex stochastic optimization with heavy-tailed noise on convex compact, Preprint no. arXiv:2304.02442, Cornell University, 2023, DOI 10.48550/arXiv.2304.02442 .
  • N. Kornilov, E. Gorbunov, M. Alkousa, F. Stonyakin, P. Dvurechensky, A. Gasnikov, Intermediate gradient methods with relative inexactness, Preprint no. arXiv:2310.00506, Cornell University, 2023, DOI 10.48550/arXiv.2310.00506 .
  • D.A. Pasechnyuk, M. Persiianov, P. Dvurechensky, A. Gasnikov, Algorithms for Euclidean-regularised optimal transport, Preprint no. arXiv:2307.00321, Cornell University, 2023, DOI 10.48550/arXiv.2307.00321 .
  • 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 .
  • O. Yufereva, M. Persiianov, P. Dvurechensky, A. Gasnikov, D. Kovalev, Decentralized convex optimization on time-varying networks with application to Wasserstein barycenters, Preprint no. arXiv:2205.15669, Cornell University, 2023, DOI 10.48550/arXiv.2205.15669 .
  • P. Trunschke, A. Nouy, M. Eigel, Weighted sparsity and sparse tensor networks for least squares approximation, Preprint no. arXiv:2310.08942, Cornell University, 2023, DOI 10.48550/arXiv.2310.08942 .
  • 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 .
  • B. Schembera, F. Wübbeling, H. Kleikamp, Ch. Bledinger, J. Fiedler, M. Reidelbach, A. Shehu, B. Schmidt, Th. Koprucki, D. Iglezakis, D. Göddeke, Ontologies for models and algorithms in applied mathematics and related disciplines, Preprint no. arXiv:2310.20443, Cornell University, 2023, DOI 10.48550/arXiv.2310.20443 .
  • P.L. Lederer, Ch. Merdon, Gradient-robust hybrid DG discretizations for the compressible Stokes equations, Preprint no. arXiv.2311.06098, Cornell University, 2023, DOI 10.48550/arXiv.2311.06098 .
  • 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.
  • I.P.A. Papadopoulos, T.S. Gutleb, J.A. Carrillo, S. Olver, A frame approach for equations involving the fractional Laplacian, Preprint no. arXiv:2311.12451, Cornell University, 2023, DOI 10.48550/arXiv.2311.12451 .
  • T.S. Gutleb, I.P.A. Papadopoulos, Explicit fractional Laplacians and Riesz potentials of classical functions, Preprint no. arXiv:2311.10896, Cornell University, 2023, DOI 10.48550/arXiv.2311.10896 .
  • D.M. Kane, M. Radziunas, Chaos spectrum -- Semiconductor laser with delayed optical feedback, Preprint no. arXiv.2312.14353, Cornell University, 2023, DOI 10.48550/arXiv.2312.14353 .
  • 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 10.48550/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, Concentration of a high dimensional 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 .
  • D. Gergely, B. Fricke, J.M. Oeschger, L. Ruthotto, P. Freund, K. Tabelow, S. Mohammadi, ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data, Preprint no. bioRxiv:2023.10.13.562027, Cold Spring Harbor Laboratory, 2023, DOI 10.1101/2023.10.13.562027 .
  • J.M. Oeschger, K. Tabelow, S. Mohammadi, Investigating apparent differences between standard DKI and axisymmetric DKI and its consequences for biophysical parameter estimates, Preprint no. bioRxiv:2023.06.21.545891, Cold Spring Harbor Laboratory, 2023, DOI 10.1101/2023.06.21.545891 .
  • F. Goth, R. Alves, M. Braun, L.J. Castro, G. Chourdakis, S. Christ, J. Cohen, F. Erxleben, J.-N. Grad, M. Hagdorn, T. Hodges, G. Juckeland, D. Kempf, A.-L. Lamprecht, J. Linxweiler, M. Schwarzmeier, H. Seibold, J.P. Thiele, H. VON Waldow, S. Wittke, Foundational competencies and responsibilities of a research software engineer, Preprint no. arXiv:2311.11457, Cornell University, 2023, DOI 10.48550/arXiv.2311.11457 .
  • 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, S. Gallay, Weak existence for SDEs with singular drifts and fractional Brownian or Levy noise beyond the subcritical regime, Preprint no. arXiv:2311.12013, Cornell University, 2023, DOI 10.48550/arXiv.2311.12013 .
  • 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 .