Zobrazeno 1 - 10
of 2 250 113
pro vyhledávání: '"P. Real"'
Autor:
Kosta, Dimitra, Windisch, Daniel
The log canonical threshold (lct) is a fundamental invariant in birational geometry, essential for understanding the complexity of singularities in algebraic varieties. Its real counterpart, the real log canonical threshold (rlct), also known as the
Externí odkaz:
http://arxiv.org/abs/2411.13392
Leveraging the flexible expressive ability of (Max)SMT and the powerful solving ability of SMT solvers, we propose a novel layout model named SMT-Layout. SMT-Layout is the first constraint-based layout model that can support real-time interaction for
Externí odkaz:
http://arxiv.org/abs/2411.12271
We prove that infinitely differentiable almost reducible quasi-periodic cocycles, under a Diophantine condition on the frequency vector, are almost reducible to a sequence of real constant cocycles with a sequence of real conjugations, up to a period
Externí odkaz:
http://arxiv.org/abs/2411.07673
Autor:
Wagenmaker, Andrew, Huang, Kevin, Ke, Liyiming, Boots, Byron, Jamieson, Kevin, Gupta, Abhishek
In order to mitigate the sample complexity of real-world reinforcement learning, common practice is to first train a policy in a simulator where samples are cheap, and then deploy this policy in the real world, with the hope that it generalizes effec
Externí odkaz:
http://arxiv.org/abs/2410.20254
Autor:
Jakowski, Jacek, Lu, Wenchang, Briggs, Emil, Lingerfelt, David, Sumpter, Bobby G., Ganesh, Panchapakesan, Bernholc, Jerzy
We present the theory, implementation, and benchmarking of a real-time time-dependent density functional theory (RT-TDDFT) module within the RMG code, designed to simulate the electronic response of molecular systems to external perturbations. Our me
Externí odkaz:
http://arxiv.org/abs/2410.09189
Autor:
Chen, Jie, Gruber, Susan, Lee, Hana, Chu, Haitao, Lee, Shiowjen, Tian, Haijun, Wang, Yan, He, Weili, Jemielita, Thomas, Song, Yang, Tamura, Roy, Tian, Lu, Zhao, Yihua, Chen, Yong, van der Laan, Mark, Nie, Lei
Real-world data (RWD) and real-world evidence (RWE) have been increasingly used in medical product development and regulatory decision-making, especially for rare diseases. After outlining the challenges and possible strategies to address the challen
Externí odkaz:
http://arxiv.org/abs/2410.06586
For 6-DoF grasp detection, simulated data is expandable to train more powerful model, but it faces the challenge of the large gap between simulation and real world. Previous works bridge this gap with a sim-to-real way. However, this way explicitly o
Externí odkaz:
http://arxiv.org/abs/2410.06521
In previous research, we developed methods to train decision trees (DT) as agents for reinforcement learning tasks, based on deep reinforcement learning (DRL) networks. The samples from which the DTs are built, use the environment's state as features
Externí odkaz:
http://arxiv.org/abs/2412.04974
Autor:
Charan, Gouranga, Alkhateeb, Ahmed
In the advent of next-generation wireless communication, millimeter-wave (mmWave) and terahertz (THz) technologies are pivotal for their high data rate capabilities. However, their reliance on large antenna arrays and narrow directive beams for ensur
Externí odkaz:
http://arxiv.org/abs/2412.04734
The advent of Multimodal Large Language Models, leveraging the power of Large Language Models, has recently demonstrated superior multimodal understanding and reasoning abilities, heralding a new era for artificial general intelligence. However, achi
Externí odkaz:
http://arxiv.org/abs/2412.04447