Zobrazeno 1 - 10
of 54 769
pro vyhledávání: '"Ashok, P."'
Given a graph $G=(V,E)$, a function $f:V\to \{0,1,2\}$ is said to be a \emph{Roman Dominating function} (RDF) if for every $v\in V$ with $f(v)=0$, there exists a vertex $u\in N(v)$ such that $f(u)=2$. A Roman Dominating function $f$ is said to be an
Externí odkaz:
http://arxiv.org/abs/2411.13141
Reservoir computing (RC), is a class of computational methods such as Echo State Networks (ESN) and Liquid State Machines (LSM) describe a generic method to perform pattern recognition and temporal analysis with any non-linear system. This is enabled
Externí odkaz:
http://arxiv.org/abs/2411.11414
Visual navigation takes inspiration from humans, who navigate in previously unseen environments using vision without detailed environment maps. Inspired by this, we introduce a novel no-RL, no-graph, no-odometry approach to visual navigation using fe
Externí odkaz:
http://arxiv.org/abs/2411.09893
This work investigates the effectiveness of schedule-free methods, developed by A. Defazio et al. (NeurIPS 2024), in nonconvex optimization settings, inspired by their remarkable empirical success in training neural networks. Specifically, we show th
Externí odkaz:
http://arxiv.org/abs/2411.07061
Extraction of hot carriers (HCs) over the band-edge is a key to harvest solar energy beyond Shockley-Queisser limit1. Graphene is known as a HC-layered material due to phonon bottleneck effect near Dirac point, but limited by low photocarrier density
Externí odkaz:
http://arxiv.org/abs/2411.05727
The growing power of data science can play a crucial role in addressing social discrimination, necessitating nuanced understanding and effective mitigation strategies of potential biases. Data Science Looks At Discrimination (dsld) is an R and Python
Externí odkaz:
http://arxiv.org/abs/2411.04228
Autor:
Song, Kaidong, Zhou, Jingyuan, Wei, Chen, Ponnuchamy, Ashok, Bappy, Md Omarsany, Liao, Yuxuan, Jiang, Qiang, Du, Yipu, Evans, Connor J., Wyatt, Brian C., O'Sullivan, Thomas, Roeder, Ryan K., Anasori, Babak, Hoffman, Anthony J., Jin, Lihua, Duan, Xiangfeng, Zhang, Yanliang
Stretchable electronics capable of conforming to nonplanar and dynamic human body surfaces are central for creating implantable and on-skin devices for high-fidelity monitoring of diverse physiological signals. While various strategies have been deve
Externí odkaz:
http://arxiv.org/abs/2411.03339
Autor:
Winter, Tim R., Sundaram, Ashok M., Friedl, Werner, Roa, Maximo A., Stulp, Freek, Silvério, João
Generating context-adaptive manipulation and grasping actions is a challenging problem in robotics. Classical planning and control algorithms tend to be inflexible with regard to parameterization by external variables such as object shapes. In contra
Externí odkaz:
http://arxiv.org/abs/2410.24035
Autor:
Babu, Md Abu Ahammed, Pandey, Sushant Kumar, Durisic, Darko, Koppisetty, Ashok Chaitanya, Staron, Miroslaw
Data leakage is a very common problem that is often overlooked during splitting data into train and test sets before training any ML/DL model. The model performance gets artificially inflated with the presence of data leakage during the evaluation ph
Externí odkaz:
http://arxiv.org/abs/2410.23312
Autor:
Williams, Andrew Robert, Ashok, Arjun, Marcotte, Étienne, Zantedeschi, Valentina, Subramanian, Jithendaraa, Riachi, Roland, Requeima, James, Lacoste, Alexandre, Rish, Irina, Chapados, Nicolas, Drouin, Alexandre
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks crucial context necessary for accurate predictions. Human forecasters frequently rely on additional information, such
Externí odkaz:
http://arxiv.org/abs/2410.18959