850 citations
- University of OxfordGB179 papers
- University of ManchesterGB178 papers
- Tsinghua UniversityCN174 papers
- University of Chinese Academy of SciencesCN170 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT165 papers
- Shandong UniversityCN165 papers
- University of Science and Technology of ChinaCN165 papers
- Uppsala UniversitySE163 papers
- University of TarapacáCL162 papers
- Johannes Gutenberg University MainzDE159 papers
- Justus-Liebig-Universität GießenDE158 papers
- Nanjing UniversityCN156 papers
28 papers · 1 filter
Designing Machine Learning Surrogates using Outputs of Molecular Dynamics Simulations as Soft Labels
J. C. S. Kadupitiya, Nasim Anousheh, Vikram Jadhao
Molecular dynamics simulations are powerful tools to extract the microscopic mechanisms characterizing the properties of soft materials. We recently introduced machine learning sur…
Detecting chaos in hurricane intensity
Chanh Kieu, Weiran Cai, Wai-Tong +1
Determining the maximum potential limit in the accuracy of hurricane intensity prediction is important for operational practice. Using the phase-space reconstruction method for hur…
How You Move Your Head Tells What You Do: Self-supervised Video Representation Learning with Egocentric Cameras and IMU Sensors
Satoshi Tsutsui, Ruta Desai, Karl Ridgeway
Understanding users' activities from head-mounted cameras is a fundamental task for Augmented and Virtual Reality (AR/VR) applications. A typical approach is to train a classifier…
Intel Optane DCPMM and Serverless Computing
Ahmet Uyar, Selahattin Akkas, Jiayu Li +1
This report describes 1) how we use Intel's Optane DCPMM in the memory Mode. We investigate the the scalability of applications on a single Optane machine, using Subgraph counting…
A Large-Scale Study of Machine Translation in the Turkic Languages
Jamshidbek Mirzakhalov, Anoop Babu, Duygu Ataman +13
Recent advances in neural machine translation (NMT) have pushed the quality of machine translation systems to the point where they are becoming widely adopted to build competitive…
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation
Gediminas Adomavicius, Dietmar Jannach, Stephan Leitner +1
Today's research in recommender systems is largely based on experimental designs that are static in a sense that they do not consider potential longitudinal effects of providing re…