176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Imperial College LondonGB100 papers
- King's College LondonGB6 papers
- University of OxfordGB6 papers
- University College LondonGB5 papers
- University of CambridgeGB5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Technical University of MunichDE4 papers
- Institute for High Energy PhysicsES3 papers
- Institute of Group AnalysisGB3 papers
- Lancaster UniversityGB3 papers
- MRC London Institute of Medical SciencesGB3 papers
- Nanjing University of Science and TechnologyCN3 papers
6 papers · 1 filter
A Real-time and Registration-free Framework for Dynamic Shape Instantiation
Xiao-Yun Zhou, Guang-Zhong Yang, Su-Lin Lee
Real-time 3D navigation during minimally invasive procedures is an essential yet challenging task, especially when considerable tissue motion is involved. To balance image acquisit…
Optimal Energy Consumption with Communication, Computation, Caching and QoI-Guarantee
Faheem Zafari, Jian Li, Kin K. Leung +2
Energy efficiency is a fundamental requirement of modern data communication systems, and its importance is reflected in much recent work on performance analysis of system energy co…
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules
Xinyang Feng, Jie Yang, Andrew F. Laine +1
Automated detection and segmentation of pulmonary nodules on lung computed tomography (CT) scans can facilitate early lung cancer diagnosis. Existing supervised approaches for auto…
Neural Embeddings of Graphs in Hyperbolic Space
Benjamin Paul Chamberlain, James Clough, Marc Peter Deisenroth
Neural embeddings have been used with great success in Natural Language Processing (NLP). They provide compact representations that encapsulate word similarity and attain state-of-…
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni, Marc Deisenroth
Gaussian processes (GPs) are a good choice for function approximation as they are flexible, robust to over-fitting, and provide well-calibrated predictive uncertainty. Deep Gaussia…
Incorporating Signals into Optimal Trading
Charles-Albert Lehalle, Eyal Neuman
Optimal trading is a recent field of research which was initiated by Almgren, Chriss, Bertsimas and Lo in the late 90's. Its main application is slicing large trading orders, in th…