10.4k citations
- Carnegie Mellon UniversityUS349 papers
- University of Illinois Urbana-ChampaignUS220 papers
- University of ChicagoUS211 papers
- William & MaryUS211 papers
- Purdue University West LafayetteUS207 papers
- Thomas Jefferson National Accelerator FacilityUS207 papers
- University of VirginiaUS194 papers
- A. Alikhanyan National LaboratoryAM193 papers
- Florida International UniversityUS193 papers
- University of PittsburghUS192 papers
- Florida State UniversityUS188 papers
- Old Dominion UniversityUS185 papers
106 papers · 1 filter
Low-frequency Raman signature of Ag-intercalated few-layer MoS
Natalya Sheremetyeva, Drake Niedzielski, Damien Tristant +4
Density functional theory based calculations and experimental analysis on a limited number of real samples are performed to study how the presence of silver intercalated in the van…
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance
Chuang Niu, Ge Wang
X-ray imaging is the most popular medical imaging technology. While x-ray radiography is rather cost-effective, tissue structures are superimposed along the x-ray paths. On the oth…
Exact and many-body perturbation solutions of the Hubbard model applied to linear chains
Antoine Honet, Luc Henrard, Vincent Meunier
This study examines how the GW approximation, one of the techniques covered by Green's functions and on many-body approximations (GFMBA), fares compared to the treatment of the Hub…
Phase function estimation from a diffuse optical image via deep learning
Yuxuan Liang, Chuang Niu, Chen Wei +3
The phase function is a key element of a light propagation model for Monte Carlo (MC) simulation, which is usually fitted with an analytic function with associated parameters. In r…
Scalable Intervention Target Estimation in Linear Models
Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri +1
This paper considers the problem of estimating the unknown intervention targets in a causal directed acyclic graph from observational and interventional data. The focus is on soft…
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen +1
This paper investigates the problem of best arm identification in stochastic multi-arm bandits. In this setting, the rewards obtained from any arm are repla…