3.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN16 papers
- Mohamed bin Zayed University of Artificial IntelligenceAE16 papers
- Nankai UniversityCN16 papers
- ETH ZurichCH12 papers
- Tianjin UniversityCN12 papers
- University of Electronic Science and Technology of ChinaCN11 papers
- Southern University of Science and TechnologyCN9 papers
- University of AmsterdamNL9 papers
- Beijing Institute of TechnologyCN8 papers
- Wuhan UniversityCN8 papers
- Australian National UniversityAU7 papers
- Harbin Institute of TechnologyCN7 papers
5 papers · 1 filter
Probing jet base emission of M87* with the 2021 Event Horizon Telescope observations
Saurabh, Hendrik Müller, Sebastiano D. von Fellenberg +282
We investigate the presence and spatial characteristics of the jet base emission in M87* at 230 GHz, enabled by the enhanced uv coverage in the 2021 Event Horizon Telescope (EHT) o…
T-MLA: A targeted multiscale log-exponential attack framework for neural image compression
Nikolay I. Kalmykov, Razan Dibo, Kaiyu Shen +4
Neural image compression (NIC) has become the state-of-the-art for rate-distortion performance, yet its security vulnerabilities remain significantly less understood than those of…
Horizon-scale variability of M87* from 2017--2021 EHT observations
The Event Horizon Telescope Collaboration
We report three epochs of polarized images of M87* at 230\,GHz using data from the Event Horizon Telescope (EHT) taken in 2017, 2018, and 2021. The baseline coverage of the 2021 ob…
A Deep Learning-Aided Approach for Estimating Field Permeability Map by Fusing Well Logs, Well Tests, and Seismic Data
Grigoriy Shutov, Viktor Duplyakov, Shadfar Davoodi +11
Obtaining reliable permeability maps of oil reservoirs is crucial for building a robust and accurate reservoir simulation model and, therefore, designing effective recovery strateg…
Leveraging pre-trained vision Transformers for multi-band photometric light curve classification
Daniel Moreno-Cartagena, Pavlos Protopapas, Guillermo Cabrera-Vives +3
This study investigates the potential of a pre-trained vision Transformer (VT) model, specifically the Swin Transformer V2 (SwinV2), to classify photometric light curves without th…