Zobrazeno 1 - 10
of 37 246
pro vyhledávání: '"A Habibi,"'
The aim of this paper is to solve linear semidefinite programs arising from higher-order Lasserre relaxations of unconstrained binary quadratic optimization problems. For this we use an interior point method with a preconditioned conjugate gradient m
Externí odkaz:
http://arxiv.org/abs/2412.19776
The local Donaldson-Scaduto conjecture predicts the existence and uniqueness of a special Lagrangian pair of pants with three asymptotically cylindrical ends in the Calabi-Yau 3-fold $X \times \mathbb{R}^2$, where $X$ is an ALE hyperk\"ahler 4-manifo
Externí odkaz:
http://arxiv.org/abs/2412.19219
Autor:
Moradi, Keon, Haque, Ethan, Kaur, Jasmeen, Bentz, Alexandra B., Bridge, Eli S., Habibi, Golnaz
This paper presents a novel approach for robust 3D tracking of multiple birds in an outdoor aviary using a multi-camera system. Our method addresses the challenges of visually similar birds and their rapid movements by leveraging environmental landma
Externí odkaz:
http://arxiv.org/abs/2412.16511
There is an ongoing debate about how to moderate toxic speech on social media and how content moderation affects online discourse. We propose and validate a methodology for measuring the content-moderation-induced distortions in online discourse usin
Externí odkaz:
http://arxiv.org/abs/2412.16114
Autor:
Masoudifard, Arsalan, Sorond, Mohammad Mowlavi, Madadi, Moein, Sabokrou, Mohammad, Habibi, Elahe
Ensuring that Software Requirements Specifications (SRS) align with higher-level organizational or national requirements is vital, particularly in regulated environments such as finance and aerospace. In these domains, maintaining consistency, adheri
Externí odkaz:
http://arxiv.org/abs/2412.08593
Autor:
Hesamolhokama, Mohsen, Shafiee, Amirahmad, Ahmaditeshnizi, Mohammadreza, Fazli, Mohammadamin, Habibi, Jafar
Ensuring software quality remains a critical challenge in complex and dynamic development environments, where software defects can result in significant operational and financial risks. This paper proposes an innovative framework for software defect
Externí odkaz:
http://arxiv.org/abs/2412.07927
The probability distribution effectively sampled by a complex Langevin process for theories with a sign problem is not known a priori and notoriously hard to understand. Diffusion models, a class of generative AI, can learn distributions from data. I
Externí odkaz:
http://arxiv.org/abs/2412.01919
Financial markets are integral to a country's economic success, yet their complex nature raises challenging issues for predicting their behaviors. There is a growing demand for an integrated system that explores the vast and diverse data in financial
Externí odkaz:
http://arxiv.org/abs/2412.05297
To analyse how diffusion models learn correlations beyond Gaussian ones, we study the behaviour of higher-order cumulants, or connected n-point functions, under both the forward and backward process. We derive explicit expressions for the moment- and
Externí odkaz:
http://arxiv.org/abs/2410.21212
The end-to-end (E2E) architecture for the 6th generation of mobile network (6G) necessitates a comprehensive design, considering emerging use cases (UCs), requirements, and key value Indicators (KVIs). These UCs collectively share stringent requireme
Externí odkaz:
http://arxiv.org/abs/2410.15868