Zobrazeno 1 - 10
of 48 805
pro vyhledávání: '"A Reda"'
Autor:
Chhaibi, Reda, Defosseux, Manon
The process $(\int_0^t e^{2b_s-b_t}\, ds\ ;\ t\ge 0)$ where $b$ is a real Brownian motion is known as the geometric 2M-X Matsumoto--Yor process, and it enjoys a miraculous Markov property. We provide a generalization of this process to the context of
Externí odkaz:
http://arxiv.org/abs/2412.06701
Autor:
Koonchanok, Ratanond, Reda, Khairi
People often use visualizations not only to explore a dataset but also to draw generalizable conclusions about underlying models or phenomena. While previous research has viewed deviations from rational analysis as problematic, we hypothesize that hu
Externí odkaz:
http://arxiv.org/abs/2411.12299
Autor:
NVIDIA, Atzmon, Yuval, Bala, Maciej, Balaji, Yogesh, Cai, Tiffany, Cui, Yin, Fan, Jiaojiao, Ge, Yunhao, Gururani, Siddharth, Huffman, Jacob, Isaac, Ronald, Jannaty, Pooya, Karras, Tero, Lam, Grace, Lewis, J. P., Licata, Aaron, Lin, Yen-Chen, Liu, Ming-Yu, Ma, Qianli, Mallya, Arun, Martino-Tarr, Ashlee, Mendez, Doug, Nah, Seungjun, Pruett, Chris, Reda, Fitsum, Song, Jiaming, Wang, Ting-Chun, Wei, Fangyin, Zeng, Xiaohui, Zeng, Yu, Zhang, Qinsheng
We introduce Edify Image, a family of diffusion models capable of generating photorealistic image content with pixel-perfect accuracy. Edify Image utilizes cascaded pixel-space diffusion models trained using a novel Laplacian diffusion process, in wh
Externí odkaz:
http://arxiv.org/abs/2411.07126
Extracting finite state automata (FSAs) from black-box models offers a powerful approach to gaining interpretable insights into complex model behaviors. To support this pursuit, we present a weighted variant of Angluin's (1987) $\mathbf{L^*}$ algorit
Externí odkaz:
http://arxiv.org/abs/2411.06228
Large Language Models (LLMs) have been applied to various hardware design tasks, including Verilog code generation, EDA tool scripting, and RTL bug fixing. Despite this extensive exploration, LLMs are yet to be used for the task of post-synthesis met
Externí odkaz:
http://arxiv.org/abs/2411.03471
Visual Question Answering (VQA) has emerged as a promising area of research to develop AI-based systems for enabling interactive and immersive learning. Numerous VQA datasets have been introduced to facilitate various tasks, such as answering questio
Externí odkaz:
http://arxiv.org/abs/2410.22648
An open problem in linear quadratic (LQ) games has been characterizing the Nash equilibria. This problem has renewed relevance given the surge of work on understanding the convergence of learning algorithms in dynamic games. This paper investigates s
Externí odkaz:
http://arxiv.org/abs/2410.12544
Autor:
Firdoussi, Aymane El, Seddik, Mohamed El Amine, Hayou, Soufiane, Alami, Reda, Alzubaidi, Ahmed, Hacid, Hakim
Synthetic data has gained attention for training large language models, but poor-quality data can harm performance (see, e.g., Shumailov et al. (2023); Seddik et al. (2024)). A potential solution is data pruning, which retains only high-quality data
Externí odkaz:
http://arxiv.org/abs/2410.08942
Autor:
Tevet, Guy, Raab, Sigal, Cohan, Setareh, Reda, Daniele, Luo, Zhengyi, Peng, Xue Bin, Bermano, Amit H., van de Panne, Michiel
Motion diffusion models and Reinforcement Learning (RL) based control for physics-based simulations have complementary strengths for human motion generation. The former is capable of generating a wide variety of motions, adhering to intuitive control
Externí odkaz:
http://arxiv.org/abs/2410.03441
Coastal regions in North America face major threats from storm surges caused by hurricanes and nor'easters. Traditional numerical models, while accurate, are computationally expensive, limiting their practicality for real-time predictions. Recently,
Externí odkaz:
http://arxiv.org/abs/2410.12823