Zobrazeno 1 - 10
of 14 363
pro vyhledávání: '"Thiery A"'
For any $\varepsilon > 0$, we prove that $k$-Dimensional Matching is hard to approximate within a factor of $k/(12 + \varepsilon)$ for large $k$ unless $\textsf{NP} \subseteq \textsf{BPP}$. Listed in Karp's 21 $\textsf{NP}$-complete problems, $k$-Dim
Externí odkaz:
http://arxiv.org/abs/2409.17831
Autor:
Wang, Chao, Thiery, Alexandre H.
Publikováno v:
Inverse Problems, 2024
Proper regularization is crucial in inverse problems to achieve high-quality reconstruction, even with an ill-conditioned measurement system. This is particularly true for three-dimensional photoacoustic tomography, which is computationally demanding
Externí odkaz:
http://arxiv.org/abs/2409.16564
The MEV-Boost block auction contributes approximately 90% of all Ethereum blocks. Between October 2023 and March 2024, only three builders produced 80% of them, highlighting the concentration of power within the block builder market. To foster compet
Externí odkaz:
http://arxiv.org/abs/2407.13931
Autor:
Chuangsuwanich, Thanadet, Nongpiur, Monisha E., Braeu, Fabian A., Tun, Tin A., Thiery, Alexandre, Perera, Shamira, Ho, Ching Lin, Buist, Martin, Barbastathis, George, Aung, Tin, Girard, Michaël J. A.
Objective. (1) To assess whether neural tissue structure and biomechanics could predict functional loss in glaucoma; (2) To evaluate the importance of biomechanics in making such predictions. Design, Setting and Participants. We recruited 238 glaucom
Externí odkaz:
http://arxiv.org/abs/2406.14988
Out-of-distribution (OOD) detection is a critical task in machine learning that seeks to identify abnormal samples. Traditionally, unsupervised methods utilize a deep generative model for OOD detection. However, such approaches require a new model to
Externí odkaz:
http://arxiv.org/abs/2405.11881
We propose an adaptive importance sampling scheme for Gaussian approximations of intractable posteriors. Optimization-based approximations like variational inference can be too inaccurate while existing Monte Carlo methods can be too slow. Therefore,
Externí odkaz:
http://arxiv.org/abs/2404.18556
Autor:
Hivert, Florent, Thiéry, Nicolas M.
Publikováno v:
Order, 07/2022, pages 1-16
C3 is an algorithm used by several widely used programming languages such as Python to support multiple inheritance in object oriented programming (OOP): for each class, C3 computes recursively a linear extension of the poset of all its super classes
Externí odkaz:
http://arxiv.org/abs/2401.12740
The Ethereum block-building process has changed significantly since the emergence of Proposer-Builder Separation. Validators access blocks through a marketplace, where block builders bid for the right to construct the block and earn MEV (Maximal Extr
Externí odkaz:
http://arxiv.org/abs/2312.14510
The Gaussian process state-space models (GPSSMs) represent a versatile class of data-driven nonlinear dynamical system models. However, the presence of numerous latent variables in GPSSM incurs unresolved issues for existing variational inference app
Externí odkaz:
http://arxiv.org/abs/2312.05910
Autor:
Wang, Chao, Thiery, Alexandre Hoang
Publikováno v:
Transactions on Machine Learning Research (05 Dec 2023)
This article introduces GIT-Net, a deep neural network architecture for approximating Partial Differential Equation (PDE) operators, inspired by integral transform operators. GIT-NET harnesses the fact that differential operators commonly used for de
Externí odkaz:
http://arxiv.org/abs/2312.02450