Zobrazeno 1 - 10 of 422 pro vyhledávání: '"2614 Theoretical Computer Science"'
1
Spectral analysis of high order continuous FEM for hyperbolic PDEs on triangular meshes: influence of approximation, stabilization, and time-stepping
Autor: Michel, Sixtine, Torlo, Davide, Ricchiuto, Mario, Abgrall, Remi
Publikováno v: Journal of Scientific Computing
Journal of Scientific Computing, 2023, 94 (49), ⟨10.1007/s10915-022-02087-0⟩
In this work we study various continuous finite element discretization for two dimensional hyperbolic partial differential equations, varying the polynomial space (Lagrangian on equispaced, Lagrangian on quadrature points (Cubature) and Bernstein), t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7685e65e79d0f356ccc9ade07a4b52b1
https://inria.hal.science/hal-03940122
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2
Probabilistic time series forecasts with autoregressive transformation models
Autor: Rügamer, David, Baumann, Philipp F M, Kneib, Thomas, Hothorn, Torsten
Publikováno v: Statistics and Computing, 33 (2)
Statistics and computing 33(2), 37 (2023). doi:10.1007/s11222-023-10212-8
Probabilistic forecasting of time series is an important matter in many applications and research fields. In order to draw conclusions from a probabilistic forecast, we must ensure that the model class used to approximate the true forecasting distrib
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39d24ed80c287d15944737f3a079eccb
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4
Landmark-free Statistical Shape Modeling via Neural Flow Deformations
Autor: Lüdke, David, Amiranashvili, Tamaz, Ambellan, Felix, Ezhov, Ivan, Menze, Bjoern H, Zachow, Stefan
Publikováno v: Lecture Notes in Computer Science ISBN: 9783031164330
Statistical shape modeling aims at capturing shape variations of an anatomical structure that occur within a given population. Shape models are employed in many tasks, such as shape reconstruction and image segmentation, but also shape generation and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6467777dc5f7997b3e6df97750545fd
http://arxiv.org/abs/2209.06861
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5
Construction of LDPC convolutional codes via difference triangle sets
Autor: Joachim Rosenthal, Julia Lieb, Gianira N. Alfarano
Publikováno v: Designs, Codes, and Cryptography
In this paper, a construction of $(n,k,\delta)$ LDPC convolutional codes over arbitrary finite fields, which generalizes the work of Robinson and Bernstein and the later work of Tong is provided. The sets of integers forming a $(k,w)$-(weak) differen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c097fa6b27c7542887d1c2e1200d2c3
https://doi.org/10.1007/s10623-021-00912-5
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7
Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms
Autor: Schade, Robert, Kenter, Tobias, Elgabarty, Hossam, Lass, Michael, Schütt, Ole, Lazzaro, Alfio, Pabst, Hans, Mohr, Stephan, Hutter, Jürg, Kühne, Thomas D, Plessl, Christian
Publikováno v: Parallel Computing, 111
Parallel Computing
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
We push the boundaries of electronic structure-based ab-initio molecular dynamics (AIMD) beyond 100 million atoms. This scale is otherwise barely reachable with classical force-field methods or novel neural network and machine learning potentials. We
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24612f85c0277c0127928cbe27b44f44
https://hdl.handle.net/20.500.11850/537740
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9
Conditional Generative Data Augmentation for Clinical Audio Datasets
Autor: Seibold, M, Hoch, A, Farshad, M, Navab, N, Fürnstahl, P
In this work, we propose a novel data augmentation method for clinical audio datasets based on a conditional Wasserstein Generative Adversarial Network with Gradient Penalty (cWGAN-GP), operating on log-mel spectrograms. To validate our method, we cr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::051f6c11252b2d75e57ad61039a7eaa3
http://arxiv.org/abs/2203.11570
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10
Bogoliubov Theory in the Gross-Pitaevskii Limit: a Simplified Approach
Autor: Christian Hainzl, Benjamin Schlein, Arnaud Triay
Publikováno v: Forum of Mathematics, Sigma
We show that Bogoliubov theory correctly predicts the low-energy spectral properties of Bose gases in the Gross-Pitaevskii regime. We recover recent results from [6, 7]. While our main strategy is similar to the one developed in [6, 7], we combine it
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7f1c4f57a87a27e65a213ee026f29e0
http://arxiv.org/abs/2203.03440
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