output
20102025
most citedResults from the Supernova Photometric Classification Challenge

167 citations

7 papers

cs.DC2025

An Evaluation of LLMs Inference on Popular Single-board Computers

Tung, Nguyen, Tuyen Nguyen

The growing demand for on-device large language model (LLM) inference is driving interest in deploying lightweight, cost-effective AI solutions on edge hardware. Single-board compu…

astro-ph.HE2025

Timing and Spectral Analysis of 4U 1626-67 Using AstroSat/LAXPC

N. J Juris, Marykutty James, Jincy Devasia

We present a comprehensive analysis of AstroSat/LAXPC data of the second spin-up and second spin-down phases of the persistent X-ray pulsar 4U 1626-67. Flares followed by a broad d…

cs.LG2025

Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments with Distributed Sensors

Saad Masrur, Jung-Fu, Cheng +2

Indoor localization in challenging non-line-of-sight (NLOS) environments often leads to poor accuracy with traditional approaches. Deep learning (DL) has been applied to tackle the…

cs.RO2024★ 8 cited

Towards Generalist Robot Learning from Internet Video: A Survey

Robert McCarthy, Daniel C. H. Tan, Dominik Schmidt +5

Scaling deep learning to massive and diverse internet data has driven remarkable breakthroughs in domains such as video generation and natural language processing. Robot learning,…

physics.med-ph2021★ 1 cited

Directional dark-field implicit x-ray speckle tracking using an anisotropic-diffusion Fokker-Planck equation

Konstantin M. Pavlov, David M. Paganin, Kaye S. Morgan +5

When a macroscopic-sized non-crystalline sample is illuminated using coherent x-ray radiation, a bifurcation of photon energy flow may occur. The coarse-grained complex refractive…

cs.OH2014★ 18 cited

A Wavelet Based Algorithm for the Identification of Oscillatory Event-Related Potential Components

Arun Kumar A, Ninan Sajeeth Philip, Vincent J Samar +2

Event Related Potentials (ERPs) are very feeble alterations in the ongoing Electroencephalogram (EEG) and their detection is a challenging problem. Based on the unique time-based p…