Zobrazeno 1 - 10
of 96 971
pro vyhledávání: '"A AKHTAR"'
Autor:
Glombiewski, Nikolaus, Boukhers, Zeyd, Beilschmidt, Christian, Drönner, Johannes, Mattig, Michael, Piet, Artur, Pietrzynski, Robert, Jaberansary, Mehrshad, Maia, Macedo, Beyvers, Sebastian, Yediel, Yeliz Üçer, Akhtar, Muhammad Hamza, Oberkampf, Heiner, Hartman, Jonathan, Seeger, Bernhard, Lange, Christoph
The principles of data spaces for sovereign data exchange across trusted organizations have so far mainly been adopted in business-to-business settings, and recently scaled to cloud environments. Meanwhile, research organizations have established dis
Externí odkaz:
http://arxiv.org/abs/2412.04969
Data augmentation is widely used to enhance generalization in visual classification tasks. However, traditional methods struggle when source and target domains differ, as in domain adaptation, due to their inability to address domain gaps. This paper
Externí odkaz:
http://arxiv.org/abs/2412.02366
Autor:
Danish, Muhammad Sohail, Munir, Muhammad Akhtar, Shah, Syed Roshaan Ali, Kuckreja, Kartik, Khan, Fahad Shahbaz, Fraccaro, Paolo, Lacoste, Alexandre, Khan, Salman
While numerous recent benchmarks focus on evaluating generic Vision-Language Models (VLMs), they fall short in addressing the unique demands of geospatial applications. Generic VLM benchmarks are not designed to handle the complexities of geospatial
Externí odkaz:
http://arxiv.org/abs/2411.19325
Skyrmions as well as skyrmion bags in magnetic thin films are promising candidates for future high-density memory devices. The observation of skyrmion bags in liquid crystals and their predicted existence in ferromagnetic films has sparked theoretica
Externí odkaz:
http://arxiv.org/abs/2411.18332
In real-world applications, class-imbalanced datasets pose significant challenges for machine learning algorithms, such as support vector machines (SVMs), particularly in effectively managing imbalance, noise, and outliers. Fuzzy support vector machi
Externí odkaz:
http://arxiv.org/abs/2411.17128
The widespread availability of multimodal generative models has sparked critical discussions on their fairness, reliability, and potential for misuse. While text-to-image models can produce high-fidelity, user-guided images, they also exhibit unpredi
Externí odkaz:
http://arxiv.org/abs/2411.13981
Training multimodal generative models on large, uncurated datasets can result in users being exposed to harmful, unsafe and controversial or culturally-inappropriate outputs. While model editing has been proposed to remove or filter undesirable conce
Externí odkaz:
http://arxiv.org/abs/2411.13982
Autor:
Mok, Ryan, Akhtar, Faraaz, Clare, Louis, Li, Christine, Ida, Jun, Ross, Lewis, Campanelli, Mario
Grading assessments is time-consuming and prone to human bias. Students may experience delays in receiving feedback that may not be tailored to their expectations or needs. Harnessing AI in education can be effective for grading undergraduate physics
Externí odkaz:
http://arxiv.org/abs/2411.13685
We investigate the superposition of coherent states, emphasizing quantum states with distinct Wigner phase-space features relevant to quantum information applications. In this study, we introduce generalized versions of the compass state, which displ
Externí odkaz:
http://arxiv.org/abs/2411.13349
Using the method of images we derive the boundary term of the Einstein-$\Gamma^2$ action in half-space from the spherical worldsheet to first order in $\alpha'$ and to linear order in the metric perturbation around flat half-space. The $\Gamma^2$ act
Externí odkaz:
http://arxiv.org/abs/2411.06400