Zobrazeno 1 - 10
of 3 941
pro vyhledávání: '"Lu, Fei"'
Despite the recent popularity of attention-based neural architectures in core AI fields like natural language processing (NLP) and computer vision (CV), their potential in modeling complex physical systems remains under-explored. Learning problems in
Externí odkaz:
http://arxiv.org/abs/2408.07307
Applications such as unbalanced and fully shuffled regression can be approached by optimizing regularized optimal transport (OT) distances, such as the entropic OT and Sinkhorn distances. A common approach for this optimization is to use a first-orde
Externí odkaz:
http://arxiv.org/abs/2407.02015
Large language models (LLMs) have significantly advanced natural language understanding and demonstrated strong problem-solving abilities. Despite these successes, most LLMs still struggle with solving mathematical problems due to the intricate reaso
Externí odkaz:
http://arxiv.org/abs/2406.18321
Autor:
Rad, Shervin Salehi, Muhlbaier, Micheal, Fishman, Oleg, Chevinly, Javad, Nadi, Elias, Zhang, Hua, Lu, Fei
The design and development of power electronics converters pose a multitude of challenges. The evaluation of power electronics converters, particularly when operating at high power levels, presents a significant task, offering designers a deeper unde
Externí odkaz:
http://arxiv.org/abs/2405.13243
Autor:
Chevinly, Javad, Rad, Shervin Salehi, Nadi, Elias, Proca, Bogdan, Wolgemuth, John, Calabro, Anthony, Zhang, Hua, Lu, Fei
This paper presents a design and implementation of a high-power Gallium Nitride (GaN)-based multilevel Hbridge inverter to excite wireless charging coils for the wireless power transfer of electric vehicles (EVs). Compared to the traditional conducti
Externí odkaz:
http://arxiv.org/abs/2405.11131
We introduce a new class of probabilistic cellular automata that are capable of exhibiting rich dynamics such as synchronization and ergodicity and can be easily inferred from data. The system is a finite-state locally interacting Markov chain on a c
Externí odkaz:
http://arxiv.org/abs/2405.02928
Modeling multi-agent systems on networks is a fundamental challenge in a wide variety of disciplines. We jointly infer the weight matrix of the network and the interaction kernel, which determine respectively which agents interact with which others a
Externí odkaz:
http://arxiv.org/abs/2402.08412
We present iDARR, a scalable iterative Data-Adaptive RKHS Regularization method, for solving ill-posed linear inverse problems. The method searches for solutions in subspaces where the true solution can be identified, with the data-adaptive RKHS pena
Externí odkaz:
http://arxiv.org/abs/2401.00656
We investigate the problem of energy-constrained planning for a cooperative system of an Unmanned Ground Vehicles (UGV) and an Unmanned Aerial Vehicle (UAV). In scenarios where the UGV serves as a mobile base to ferry the UAV and as a charging statio
Externí odkaz:
http://arxiv.org/abs/2310.07729
Publikováno v:
Chin. Phys. C47 (2023) 093106
Our study focuses on the $\Lambda$-type P-wave bottom baryon states with the spin-parity $J^P=\frac{1}{2}^-$, $\frac{3}{2}^-$. We introduce an explicit P-wave between the two light quarks in the interpolating currents (and the two light quarks are an
Externí odkaz:
http://arxiv.org/abs/2306.05626