Emanuilov, Simeon Dimov, Aleksandar
Published in
Cybernetics and Information Technologies
This paper presents a novel approach for similarity search with complex filtering capabilities on billion-scale datasets, optimized for CPU inference. Our method extends the classical IVF-Flat index structure to integrate multi-dimensional filters. The proposed algorithm combines dense embeddings with discrete filtering attributes, enabling fast re...
Fan, Wei Zheng, Shun Wang, Pengyang Xie, Rui Bian, Jiang Fu, Yanjie
Due to non-stationarity of time series, the distribution shift problem largely hinders the performance of time series forecasting. Existing solutions either fail for the shifts beyond simple statistics or the limited compatibility with forecasting models. In this paper, we propose a general decoupled formulation for time series forecasting, with no...
Ponce, Augusto C. Wilmet, Nicolas
We prove an integral representation formula for the distributional normal derivative of solutions of $$ \left\{ \begin{aligned} - \Delta u + V u &= \mu && \text{in $\Omega$,} u &= 0 && \text{on $\partial\Omega$,} \end{aligned} \right. $$ where $V \in L_{\mathrm{loc}}^1(\Omega)$ is a nonnegative function and $\mu$ is a finite Borel measure on $\Omeg...
Ros-Oton, Xavier Weidner, Marvin
In this article we establish fine results on the boundary behavior of solutions to nonlocal equations in $C^{k,\gamma}$ domains which satisfy local Neumann conditions on the boundary. Such solutions typically blow up at the boundary like $v \asymp d^{s-1}$ and are sometimes called large solutions. In this setup we prove optimal regularity results f...
Suchard, Eytan H.
In 1982, Dr. Sam Vaknin pondered the idea of reconstructing physics based on time as a field. His idea appeared in his doctorate dissertation as an amendment to the Dirac spinor equation. Sam saw the Quantum Field Theory particles and momentum and energy as a result of the language of physics and of the way the human mind perceives reality and not ...
Yerebakan, Halid Ziya Shinagawa, Yoshihisa Valadez, Gerardo Hermosillo
Organ segmentation is a fundamental task in medical imaging since it is useful for many clinical automation pipelines. However, some tasks do not require full segmentation. Instead, a classifier can identify the selected organ without segmenting the entire volume. In this study, we demonstrate a classifier based method to obtain organ labels in rea...
Wang, Yilin
Flat-bands induced by destructive interference of hoppings in frustrated lattices such as kagome metals, have been extensively studied in recent years since they may lead to strongly correlated phenomena. However, in realistic multiorbital $d$-electron materials, such flat-bands usually appear in small portions of Brillouin zone and are away from F...
Wang, Wei Xu, Ji Yang, Xing-Hua Zhao, Shuai
We explore the EMC effects of gluons through heavy quark production in deep inelastic scattering (DIS) and short range correlation (SRC) from sub-threshold photoproduction of the $J/\psi$. We perform an effective field theory analysis of gluon parton distribution functions in nuclei, and derive a linear relation between the slope of reduced cross s...
Barancy, Félix
Christen, Sammy Hampali, Shreyas Sener, Fadime Remelli, Edoardo Hodan, Tomas Sauser, Eric Ma, Shugao Tekin, Bugra
Generating natural hand-object interactions in 3D is challenging as the resulting hand and object motions are expected to be physically plausible and semantically meaningful. Furthermore, generalization to unseen objects is hindered by the limited scale of available hand-object interaction datasets. We propose DiffH2O, a novel method to synthesize ...
