Zobrazeno 1 - 10
of 38 481
pro vyhledávání: '"Daniel, K"'
Autor:
Qu, Liao, Zhang, Huichao, Liu, Yiheng, Wang, Xu, Jiang, Yi, Gao, Yiming, Ye, Hu, Du, Daniel K., Yuan, Zehuan, Wu, Xinglong
We present TokenFlow, a novel unified image tokenizer that bridges the long-standing gap between multimodal understanding and generation. Prior research attempt to employ a single reconstruction-targeted Vector Quantization (VQ) encoder for unifying
Externí odkaz:
http://arxiv.org/abs/2412.03069
Autor:
Powari, Aditya, So, Daniel K. C.
Non-orthogonal multiple access (NOMA) is widely viewed as a potential candidate for providing enhanced multiple access in future mobile networks by eliminating the orthogonal distribution of radio resources amongst the users. Nevertheless, the perfor
Externí odkaz:
http://arxiv.org/abs/2412.00977
Autor:
Ashby, Ben S., Chronholm, Veronika, Hajnal, Daniel K., Lukyanov, Alex, MacKenzie, Katherine, Pim, Aaron, Pryer, Tristan
In this work, we present a fundamental mathematical model for proton transport, tailored to capture the key physical processes underpinning Proton Beam Therapy (PBT). The model provides a robust and computationally efficient framework for exploring v
Externí odkaz:
http://arxiv.org/abs/2411.16735
Autor:
Karadag, Tekin, Nakano, Daniel K.
In this paper the authors investigate the structure of the Hochschild cohomology for Frobenius kernels. The authors first establish some fundamental constructions to compute Hochschild cohomology by using spectral sequences. This enables us to provid
Externí odkaz:
http://arxiv.org/abs/2411.15569
Autor:
Taheri, Babak, Molzahn, Daniel K.
Optimal Transmission Switching (OTS) problems minimize operational costs while treating both the transmission line energization statuses and generator setpoints as decision variables. The combination of nonlinearities from an AC power flow model and
Externí odkaz:
http://arxiv.org/abs/2411.10528
Autor:
Hur, Tak, Park, Daniel K.
Understanding and improving generalization capabilities is crucial for both classical and quantum machine learning (QML). Recent studies have revealed shortcomings in current generalization theories, particularly those relying on uniform bounds, acro
Externí odkaz:
http://arxiv.org/abs/2411.06919
Autor:
Kim, Yujin, Park, Daniel K.
Deterministic quantum computation with one qubit (DQC1) is of significant theoretical and practical interest due to its computational advantages in certain problems, despite its subuniversality with limited quantum resources. In this work, we introdu
Externí odkaz:
http://arxiv.org/abs/2411.02751
Despite their wide-scale deployment and ability to make accurate high-frequency voltage measurements, communication network limitations have largely precluded the use of smart meters for real-time monitoring purposes in electric distribution systems.
Externí odkaz:
http://arxiv.org/abs/2410.21270
Autor:
Taheri, Babak, Molzahn, Daniel K.
DC Optimal Power Flow (DC-OPF) problems optimize the generators' active power setpoints while satisfying constraints based on the DC power flow linearization. The computational tractability advantages of DC-OPF problems come at the expense of inaccur
Externí odkaz:
http://arxiv.org/abs/2410.11725
Finding the eye and parsing out the parts (e.g. pupil and iris) is a key prerequisite for image-based eye tracking, which has become an indispensable module in today's head-mounted VR/AR devices. However, a typical route for training a segmenter requ
Externí odkaz:
http://arxiv.org/abs/2410.06131