Zobrazeno 1 - 10
of 24 868
pro vyhledávání: '"P, Sagar"'
Publikováno v:
Int. J. Multiph. Flow 179 (2024) 104931
Suspensions of finite-size solid particles in a turbulent pipe flow are found in many industrial and technical flows. Due to the ample parameter space consisting of particle size, concentration, density and Reynolds number, a complete picture of the
Externí odkaz:
http://arxiv.org/abs/2411.10162
The emergence of Deep Convolutional Neural Networks (DCNNs) has been a pervasive tool for accomplishing widespread applications in computer vision. Despite its potential capability to capture intricate patterns inside the data, the underlying embeddi
Externí odkaz:
http://arxiv.org/abs/2411.10128
Autor:
Tint, Joshua, Sagar, Som, Taparia, Aditya, Raines, Kelly, Pathiraja, Bimsara, Liu, Caleb, Senanayake, Ransalu
While Large Language Models (LLMs) have demonstrated remarkable performance in certain dimensions, their ability to express implicit language cues that human use for effective communication remains unclear. This paper presents ExpressivityArena, a Py
Externí odkaz:
http://arxiv.org/abs/2411.08010
Autor:
Bharadwaj, Sagar, Wang, Luke, Liang, Michael, Williams, Harrison, Liang, Ivan, Seshan, Srinivasan, Rowe, Anthony
The widespread availability of maps has enabled the development of numerous location-based applications, including navigation, ride-sharing, fitness tracking, gaming, robotics, and augmented reality. Today, the maps that power these services are pred
Externí odkaz:
http://arxiv.org/abs/2411.04271
Autor:
Shrestha, Sagar, Fu, Xiao
Understanding identifiability of latent content and style variables from unaligned multi-domain data is essential for tasks such as domain translation and data generation. Existing works on content-style identification were often developed under some
Externí odkaz:
http://arxiv.org/abs/2411.03755
Frustrated magnets can elude the paradigm of conventional symmetry breaking and instead exhibit signatures of emergent symmetries at low temperatures. Such symmetries arise from "accidental" degeneracies within the ground state manifold and have been
Externí odkaz:
http://arxiv.org/abs/2411.02070
Publikováno v:
EPTCS 409, 2024, pp. 70-87
We introduce deterministic suffix-reading automata (DSA), a new automaton model over finite words. Transitions in a DSA are labeled with words. From a state, a DSA triggers an outgoing transition on seeing a word ending with the transition's label. T
Externí odkaz:
http://arxiv.org/abs/2410.22761
This paper presents a deep learning framework for the multi-class classification of gastrointestinal abnormalities in Video Capsule Endoscopy (VCE) frames. The aim is to automate the identification of ten GI abnormality classes, including angioectasi
Externí odkaz:
http://arxiv.org/abs/2410.18457
In large deep neural networks that seem to perform surprisingly well on many tasks, we also observe a few failures related to accuracy, social biases, and alignment with human values, among others. Therefore, before deploying these models, it is cruc
Externí odkaz:
http://arxiv.org/abs/2410.16738
Autor:
Liu, Qibang, Cai, Pengfei, Abueidda, Diab, Vyas, Sagar, Koric, Seid, Gomez-Bombarelli, Rafael, Geubelle, Philippe
Under some initial and boundary conditions, the rapid reaction-thermal diffusion process taking place during frontal polymerization (FP) destabilizes the planar mode of front propagation, leading to spatially varying, complex hierarchical patterns in
Externí odkaz:
http://arxiv.org/abs/2410.17518