Zobrazeno 1 - 10
of 28 061
pro vyhledávání: '"A Lippert"'
Autor:
Lippert, Klaus, Förstner, Konrad U.
The performance of medical research can be viewed and evaluated not only from the perspective of publication output, but also from the perspective of economic exploitability. Patents can represent the exploitation of research results and thus the tra
Externí odkaz:
http://arxiv.org/abs/2412.00978
The adoption of Vision Transformers (ViTs) in resource-constrained applications necessitates improvements in inference throughput. To this end several token pruning and merging approaches have been proposed that improve efficiency by successively red
Externí odkaz:
http://arxiv.org/abs/2412.00965
Autor:
English, Eshant, Lippert, Christoph
Conformal Prediction offers a powerful framework for quantifying uncertainty in machine learning models, enabling the construction of prediction sets with finite-sample validity guarantees. While easily adaptable to non-probabilistic models, applying
Externí odkaz:
http://arxiv.org/abs/2411.17042
Autor:
Döbler, Philip, Pflieger, Jannik, Jin, Fengping, De Raedt, Hans, Michielsen, Kristel, Lippert, Thomas, Jattana, Manpreet Singh
In quantum computing, error mitigation is a method to improve the results of an error-prone quantum processor by post-processing them on a classical computer. In this work, we improve the General Error Mitigation (GEM) method for scalability. GEM rel
Externí odkaz:
http://arxiv.org/abs/2411.07916
Conditional independence tests (CITs) test for conditional dependence between random variables. As existing CITs are limited in their applicability to complex, high-dimensional variables such as images, we introduce deep nonparametric CITs (DNCITs).
Externí odkaz:
http://arxiv.org/abs/2411.06140
Autor:
Hartl, Anna, Minár, Ján, Constantinou, Procopios, Roddatis, Vladimir, Alarab, Fatima, Müller, Arnold M., Vockenhuber, Christof, Schmitt, Thorsten, Pergolesi, Daniele, Strocov, Thomas Lippert Vladimir N., Shepelin, Nick A.
The conversion of solar energy into chemical energy, stored in the form of hydrogen, bears enormous potential as a sustainable fuel for powering emerging technologies. Photoactive oxynitrides are promising materials for splitting water into molecular
Externí odkaz:
http://arxiv.org/abs/2409.11825
A thorough understanding of media tightness in automotive electronics is crucial for ensuring more reliable and compact product designs, ultimately improving product quality. Concerning the fundamental characteristics of fluid leakage issues, the dyn
Externí odkaz:
http://arxiv.org/abs/2408.14083
The efficient and voidless filling of microcavities is of great importance for Lab-on-a-Chip applications. However, predicting whether microcavities will be filled or not under different circumstances is still difficult due to the local flow effects
Externí odkaz:
http://arxiv.org/abs/2407.18068
Autor:
Boccaletti, A., Borsanyi, Sz., Davier, M., Fodor, Z., Frech, F., Gerardin, A., Giusti, D., Kotov, A. Yu., Lellouch, L., Lippert, Th., Lupo, A., Malaescu, B., Mutzel, S., Portelli, A., Risch, A., Sjo, M., Stokes, F., Szabo, K. K., Toth, B. C., Wang, G., Zhang, Z.
We present a new lattice QCD calculation of the leading order hadronic vacuum polarization contribution to the muon anomalous magnetic moment $a_\mu$. We reduce uncertainties compared to our earlier computation by $40\%$, arXiv:2002.12347. We perform
Externí odkaz:
http://arxiv.org/abs/2407.10913
Publikováno v:
AI for Science Workshop at the 41st International Conference on Machine Learning (ICML), 2024
Hybrid modeling aims to augment traditional theory-driven models with machine learning components that learn unknown parameters, sub-models or correction terms from data. In this work, we build on FluxRGNN, a recently developed hybrid model of contin
Externí odkaz:
http://arxiv.org/abs/2407.10259