Assisted Learning for Organizations with Limited Data

Kavli Affiliate: Yi Zhou | First 5 Authors: Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou, | Summary: We develop an assisted learning framework for assisting organization-level learners to improve their learning performance with limited and imbalanced data. In particular, learners at the organization level usually have sufficient computation resource, but are subject to stringent […]


Continue.. Assisted Learning for Organizations with Limited Data

Search for continuous gravitational waves from 20 accreting millisecond X-ray pulsars in O3 LIGO data

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration, R. Abbott, T. D. Abbott | Summary: Results are presented of searches for continuous gravitational waves from 20 accreting millisecond X-ray pulsars with accurately measured spin frequencies and orbital parameters, using data from the third observing run […]


Continue.. Search for continuous gravitational waves from 20 accreting millisecond X-ray pulsars in O3 LIGO data

Improvement of the Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Inversion Code

Kavli Affiliate: J. Todd Hoeksema | Summary:A spectral line inversion code, Very Fast Inversion of the Stokes Vector (VFISV), has been used since May 2010 to infer the solar atmospheric parameters from the spectropolarimetric observations taken by the Helioseismic and Magnetic Imager (HMI) aboard the Solar Dynamics Observatory (SDO). The magnetic filling factor, the fraction […]


Continue.. Improvement of the Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Inversion Code

Search for $Z^{‘} rightarrow μ^{+} μ^{-}$ in the $L_μ{-} L_τ$ gauge-symmetric model at Belle

Kavli Affiliate: T. Higuchi | First 5 Authors: T. Czank, I. Jaegle, A. Ishikawa, I. Adachi, K. Adamczyk | Summary: We search for a new gauge boson $Z’$ that couples only to heavy leptons and their corresponding neutrinos in the process $e^{+} e^{-} rightarrow Z'(rightarrow mu^{+}mu^{-}) mu^{+}mu^{-}$, using a 643 fb$^{-1}$ data sample collected by […]


Continue.. Search for $Z^{‘} rightarrow μ^{+} μ^{-}$ in the $L_μ{-} L_τ$ gauge-symmetric model at Belle

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

Kavli Affiliate: Jia Liu | First 5 Authors: Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel | Summary: Interest in applying Artificial Intelligence (AI) techniques to compiler optimizations is increasing rapidly, but compiler research has a high entry barrier. Unlike in other domains, compiler and AI researchers do not have access to the […]


Continue.. CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

Polarized muons and the origin of biological homochirality

Kavli Affiliate: Roger D. Blandford | First 5 Authors: Noemie Globus, Roger D. Blandford, Anatoli Fedynitch, , | Summary: While biologists have not yet reached a consensus on the definition of life, homochirality – the specific molecular handedness of biomolecules – is a phenomenon only produced by life. The unraveling of its origin requires interdisciplinary […]


Continue.. Polarized muons and the origin of biological homochirality

DeepGhostBusters: Using Mask R-CNN to Detect and Mask Ghosting and Scattered-Light Artifacts from Optical Survey Images

Kavli Affiliate: Brian Nord | First 5 Authors: Dimitrios Tanoglidis, Aleksandra Ćiprijanović, Alex Drlica-Wagner, Brian Nord, Michael H. L. S. Wang | Summary: Wide-field astronomical surveys are often affected by the presence of undesirable reflections (often known as "ghosting artifacts" or "ghosts") and scattered-light artifacts. The identification and mitigation of these artifacts is important for […]


Continue.. DeepGhostBusters: Using Mask R-CNN to Detect and Mask Ghosting and Scattered-Light Artifacts from Optical Survey Images

Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results

Kavli Affiliate: Ke Wang | First 5 Authors: Efrat Shimron, Jonathan I. Tamir, Ke Wang, Michael Lustig, | Summary: While open databases are an important resource in the Deep Learning (DL) era, they are sometimes used "off-label": data published for one task are used for training algorithms for a different one. This work aims to […]


Continue.. Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results

Monte Carlo simulations of neutrino and charged lepton propagation in the Earth with nuPyProp

Kavli Affiliate: Angela Olinto | First 5 Authors: Sameer Patel, Mary Hall Reno, Yosui Akaike, Luis Anchordoqui, Douglas Bergman | Summary: An accurate modeling of neutrino flux attenuation and the distribution of leptons they produce in transit through the Earth is an essential component to determine neutrino flux sensitivities of underground, sub-orbital and space-based detectors. […]


Continue.. Monte Carlo simulations of neutrino and charged lepton propagation in the Earth with nuPyProp

Imaging reconfigurable molecular concentration on a graphene field-effect transistor

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Franklin Liou, Hsin-Zon Tsai, Andrew S. Aikawa, Kyler C. Natividad, Eric Tang | Summary: The spatial arrangement of adsorbates deposited onto a clean surface in vacuum typically cannot be reversibly tuned. Here we use scanning tunneling microscopy to demonstrate that molecules deposited onto graphene field-effect transistors […]


Continue.. Imaging reconfigurable molecular concentration on a graphene field-effect transistor