Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang | Summary: Optimising the approximation of Average Precision (AP) has been widely studied for image retrieval. Limited by the definition of AP, such methods consider both negative and positive instances ranking before each positive instance. However, we […]
Kavli Affiliate: Ke Wang | First 5 Authors: Yu Wang, Ke Wang, Linzhang Wang, , | Summary: Attribution methods have emerged as a popular approach to interpreting model predictions based on the relevance of input features. Although the feature importance ranking can provide insights of how models arrive at a prediction from a raw input, […]
Kavli Affiliate: Claudio Ricci | First 5 Authors: Yoshiki Toba, Yoshihiro Ueda, Poshak Gandhi, Claudio Ricci, Denis Burgarella | Summary: We revisit the dependence of covering factor (CF) of dust torus on physical properties of active galactic nuclei (AGNs) by taking into account an AGN polar dust emission. The CF is converted from a ratio […]
Kavli Affiliate: Ronald Hanson | First 5 Authors: Matteo Pompili, Sophie L. N. Hermans, Simon Baier, Hans K. C. Beukers, Peter C. Humphreys | Summary: The distribution of entangled states across the nodes of a future quantum internet will unlock fundamentally new technologies. Here we report on the experimental realization of a three-node entanglement-based quantum […]
Kavli Affiliate: Claudio Ricci | First 5 Authors: Ryan W. Pfeifle, Claudio Ricci, Peter G. Boorman, Marko Stalevski, Daniel Asmus | Summary: In this study, we use the SWIFT/BAT AGN sample, which has received extensive multiwavelength follow-up analysis as a result of the BAT AGN Spectroscopic Survey (BASS), to develop a diagnostic for nuclear obscuration […]
Kavli Affiliate: Eliska Greplova | First 5 Authors: Titus Neupert, Mark H Fischer, Eliska Greplova, Kenny Choo, Michael Denner | Summary: This is an introductory machine learning course specifically developed with STEM students in mind. We discuss supervised, unsupervised, and reinforcement learning. The notes start with an exposition of machine learning methods without neural networks, […]
Kavli Affiliate: W. L. Kimmy Wu | First 5 Authors: Silvia Galli, W. L. Kimmy Wu, Karim Benabed, François Bouchet, Thomas M. Crawford | Summary: Accurate cosmological parameter estimates using polarization data of the cosmic microwave background (CMB) put stringent requirements on map calibration, as highlighted in the recent results from the Planck satellite. In […]
Kavli Affiliate: Peter Graham | First 5 Authors: Pete Barry, Karl Berggren, A. Baha Balantekin, John Bollinger, Ray Bunker | Summary: A subset of QuantISED Sensor PIs met virtually on May 26, 2020 to discuss a response to a charge by the DOE Office of High Energy Physics. In this document, we summarize the QuantISED […]
Kavli Affiliate: Matthew Fisher | First 5 Authors: Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter | Summary: We introduce CharacterGAN, a generative model that can be trained on only a few samples (8 – 15) of a given character. Our model generates novel poses based on keypoint locations, which can be modified […]
Kavli Affiliate: Scott A. Hughes | First 5 Authors: Scott A. Hughes, Niels Warburton, Gaurav Khanna, Alvin J. K. Chua, Michael L. Katz | Summary: We compute adiabatic waveforms for extreme mass-ratio inspirals (EMRIs) by "stitching" together a long inspiral waveform from a sequence of waveform snapshots, each of which corresponds to a particular geodesic […]