output
20022026
most citedGW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

9.8k citations

Showing 2020Show all

43 papers · 1 filter

cs.AI20201 cited

Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training

Athirai A. Irissappane, Hanfei Yu, Yankun Shen +2

Online reviews are a vital source of information when purchasing a service or a product. Opinion spammers manipulate these reviews, deliberately altering the overall perception of…

cond-mat.mtrl-sci202050 cited

Topological Hall Effect in a Topological Insulator Interfaced with a Magnetic Insulator

Peng Li, Jinjun Ding, Steven S. -L. Zhang +13

A topological insulator (TI) interfaced with a magnetic insulator (MI) may host an anomalous Hall effect (AHE), a quantum AHE, and a topological Hall effect (THE). Recent studies,…

math.NA20201 cited

A splitting method to reduce MCMC variance

Robert J. Webber, David Aristoff, Gideon Simpson

We explore whether splitting and killing methods can improve the accuracy of Markov chain Monte Carlo (MCMC) estimates of rare event probabilities, and we make three contributions.…

physics.ao-ph202012 cited

Identifying Opportunities for Skillful Weather Prediction with Interpretable Neural Networks

Elizabeth A. Barnes, Kirsten Mayer, Benjamin Toms +2

The atmosphere is chaotic. This fundamental property of the climate system makes forecasting weather incredibly challenging: it's impossible to expect weather models to ever provid…

cs.AR202010 cited

HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration

Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim +3

Heterogeneous manycore architectures are the key to efficiently execute compute- and data-intensive applications. Through silicon via (TSV)-based 3D manycore system is a promising…

cs.AI20202 cited

Neurosymbolic AI for Situated Language Understanding

Nikhil Krishnaswamy, James Pustejovsky

In recent years, data-intensive AI, particularly the domain of natural language processing and understanding, has seen significant progress driven by the advent of large datasets a…