Zobrazeno 1 - 10
of 2 486
pro vyhledávání: '"P Bac"'
Vision-Brain Understanding (VBU) aims to extract visual information perceived by humans from brain activity recorded through functional Magnetic Resonance Imaging (fMRI). Despite notable advancements in recent years, existing studies in VBU continue
Externí odkaz:
http://arxiv.org/abs/2411.17475
Autor:
Nguyen, Hoang-Quan, Nguyen, Xuan-Bac, Churchill, Hugh, Choudhary, Arabinda Kumar, Sinha, Pawan, Khan, Samee U., Luu, Khoa
Vision-brain understanding aims to extract semantic information about brain signals from human perceptions. Existing deep learning methods for vision-brain understanding are usually introduced in a traditional learning paradigm missing the ability to
Externí odkaz:
http://arxiv.org/abs/2411.13378
Due to the global trend towards urbanization, people increasingly move to and live in cities that then continue to grow. Traffic forecasting plays an important role in the intelligent transportation systems of cities as well as in spatio-temporal dat
Externí odkaz:
http://arxiv.org/abs/2410.19192
Autor:
Nguyen, Bac, Lai, and Chieh-Hsin, Takida, Yuhta, Murata, Naoki, Uesaka, Toshimitsu, Ermon, Stefano, Mitsufuji, Yuki
Latent diffusion models have enabled continuous-state diffusion models to handle a variety of datasets, including categorical data. However, most methods rely on fixed pretrained embeddings, limiting the benefits of joint training with the diffusion
Externí odkaz:
http://arxiv.org/abs/2410.14758
Autor:
Murata, Naoki, Lai, Chieh-Hsin, Takida, Yuhta, Uesaka, Toshimitsu, Nguyen, Bac, Ermon, Stefano, Mitsufuji, Yuki
Recent literature has effectively utilized diffusion models trained on continuous variables as priors for solving inverse problems. Notably, discrete diffusion models with discrete latent codes have shown strong performance, particularly in modalitie
Externí odkaz:
http://arxiv.org/abs/2410.14710
Autism Spectrum Disorder (ASD) can affect individuals at varying degrees of intensity, from challenges in overall health, communication, and sensory processing, and this often begins at a young age. Thus, it is critical for medical professionals to b
Externí odkaz:
http://arxiv.org/abs/2409.04598
Quantum computing has emerged as a powerful tool for solving complex problems intractable for classical computers, particularly in popular fields such as cryptography, optimization, and neurocomputing. In this paper, we present a new quantum-based ap
Externí odkaz:
http://arxiv.org/abs/2408.03596
Autor:
Nguyen, Bac, Uhlich, Stefan, Cardinaux, Fabien, Mauch, Lukas, Edraki, Marzieh, Courville, Aaron
Handling distribution shifts from training data, known as out-of-distribution (OOD) generalization, poses a significant challenge in the field of machine learning. While a pre-trained vision-language model like CLIP has demonstrated remarkable zero-s
Externí odkaz:
http://arxiv.org/abs/2407.03036
Autor:
Tran, Thi Nhan, Duy, Nguyen Vo Anh, Hieu, Nguyen Hoang, Nguyen, Truc Anh, Van, Nguyen To, Phung, Viet Bac Thi, Schall, Peter, Dang, Minh Triet
Enhancing the electronic and diffusion properties of lithium-ion batteries is crucial for improving the performance of the fast-growing energy storage devices. Recently, fast-charging capability of commercial-like lithium-ion anodes with the least mo
Externí odkaz:
http://arxiv.org/abs/2406.13096
Autor:
Ding, Xiaoqi, Wang, Jiashu, Ozerov, Mykhaylo, Karim, Muhsin Abdul, Bac, Seul-Ki, Liu, Xinyu, Assaf, Badih A., Hsu, Yi-Ting, Li, Xiao
Since the last century, considerable efforts have been devoted to the study of valley-degenerate narrow gap semiconductors, such as the Pb$_{1-x}$Sn$_x$Se alloy. This material possesses band minima at the $L$-points of their Brillouin zone, yielding
Externí odkaz:
http://arxiv.org/abs/2406.12591