Zobrazeno 1 - 10
of 68 373
pro vyhledávání: '"Abdulrahman, A."'
In this paper, we introduce TreeCoders, a novel family of transformer trees. We moved away from traditional linear transformers to complete k-ary trees. Transformer blocks serve as nodes, and generic classifiers learn to select the best child and rou
Externí odkaz:
http://arxiv.org/abs/2411.07218
Autor:
Mayo, David, Wang, Christopher, Harbin, Asa, Alabdulkareem, Abdulrahman, Shaw, Albert Eaton, Katz, Boris, Barbu, Andrei
When evaluating stimuli reconstruction results it is tempting to assume that higher fidelity text and image generation is due to an improved understanding of the brain or more powerful signal extraction from neural recordings. However, in practice, n
Externí odkaz:
http://arxiv.org/abs/2411.02783
Speculative decoding in large language models (LLMs) accelerates token generation by speculatively predicting multiple tokens cheaply and verifying them in parallel, and has been widely deployed. In this paper, we provide the first study demonstratin
Externí odkaz:
http://arxiv.org/abs/2411.01076
Autor:
Priyadarshi, Shekhar, Kieler, Oliver, Scarioni, Alexander Fernandez, Felgner, Judith, Widaa, Abdulrahman, Kohlmann, Johannes, Fordell, Thomas, Nissilä, Jaani, Kemppinen, Antti, Bieler, Mark
We demonstrate a cryogenic electro-optic sampling (EOS) setup that allows for the measurement of microwave signals at arbitrary positions on a cryogenic chip-scale device. We use a Josephson Arbitrary Waveform Synthesizer (JAWS) to generate quantum-a
Externí odkaz:
http://arxiv.org/abs/2411.00162
Autor:
Nacar, Omer, Abdelkader, Mohamed, Ghouti, Lahouari, Gabr, Kahled, Al-Batati, Abdulrahman S., Koubaa, Anis
This paper tackles the challenge of real-time 3D trajectory prediction for UAVs, which is critical for applications such as aerial surveillance and defense. Existing prediction models that rely primarily on position data struggle with accuracy, espec
Externí odkaz:
http://arxiv.org/abs/2410.23305
Autor:
Raieli, Salvatore, Altahhan, Abdulrahman, Jeanray, Nathalie, Gerart, Stéphane, Vachenc, Sebastien
Tabular datasets are widely used in scientific disciplines such as biology. While these disciplines have already adopted AI methods to enhance their findings and analysis, they mainly use tree-based methods due to their interpretability. At the same
Externí odkaz:
http://arxiv.org/abs/2410.17758
Autor:
Miskow, Andrzej, Altahhan, Abdulrahman
In this paper, we study the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM, to existing CNN vision-based models such as VGGNet, ResNet, and ResNetV2 to perform the Facial Emotion Recognition task. We
Externí odkaz:
http://arxiv.org/abs/2410.17740
Decentralized Finance (DeFi) leverages blockchain-enabled smart contracts to deliver automated and trustless financial services without the need for intermediaries. However, the public visibility of financial transactions on the blockchain can be exp
Externí odkaz:
http://arxiv.org/abs/2411.03327
Accurately predicting the state of charge of Lithium-ion batteries is essential to the performance of battery management systems of electric vehicles. One of the main reasons for the slow global adoption of electric cars is driving range anxiety. The
Externí odkaz:
http://arxiv.org/abs/2410.17049
Autor:
Sahu, Siddharth, Altahhan, Abdulrahman
Capsule Networks outperform Convolutional Neural Networks in learning the part-whole relationships with viewpoint invariance, and the credit goes to their multidimensional capsules. It was assumed that increasing the number of capsule layers in the c
Externí odkaz:
http://arxiv.org/abs/2410.16908