Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning

Kavli Affiliate: Yi Zhou | First 5 Authors: Ziyi Chen, Shaocong Ma, Yi Zhou, , | Summary: Alternating gradient-descent-ascent (AltGDA) is an optimization algorithm that has been widely used for model training in various machine learning applications, which aims to solve a nonconvex minimax optimization problem. However, the existing studies show that it suffers from […]


Continue.. Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning

Asteroids for microhertz gravitational-wave detection

Kavli Affiliate: Peter W. Graham | First 5 Authors: Michael A. Fedderke, Peter W. Graham, Surjeet Rajendran, , | Summary: A major challenge for gravitational-wave (GW) detection in the $mu$Hz band is engineering a test mass (TM) with sufficiently low acceleration noise. We propose a GW detection concept using asteroids located in the inner Solar […]


Continue.. Asteroids for microhertz gravitational-wave detection

Cosmological Constraints on Dark Scalar

Kavli Affiliate: Satoshi Shirai | First 5 Authors: Masahiro Ibe, Shin Kobayashi, Yuhei Nakayama, Satoshi Shirai, | Summary: We discuss cosmological constraints on a dark scalar particle mixing with the Standard Model Higgs boson. We pay particular attention to the dark scalar production process when the reheating temperature of the Universe is very low, which […]


Continue.. Cosmological Constraints on Dark Scalar

Production of Ammonia Makes Venusian Clouds Habitable and Explains Observed Cloud-Level Chemical Anomalies

Kavli Affiliate: Sara Seager | First 5 Authors: William Bains, Janusz J. Petkowski, Paul B. Rimmer, Sara Seager, | Summary: The atmosphere of Venus remains mysterious, with many outstanding chemical connundra. These include: the unexpected presence of ~10 ppm O2 in the cloud layers; an unknown composition of large particles in the lower cloud layers; […]


Continue.. Production of Ammonia Makes Venusian Clouds Habitable and Explains Observed Cloud-Level Chemical Anomalies

Covariance matrices for variance-suppressed simulations

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Tony Zhang, Chia-Hsun Chuang, Risa H. Wechsler, Shadab Alam, Joseph DeRose | Summary: Cosmological $N$-body simulations provide numerical predictions of the structure of the universe against which to compare data from ongoing and future surveys. The growing volume of the surveyed universe, however, requires increasingly large […]


Continue.. Covariance matrices for variance-suppressed simulations

Gravitationally Mediated Entanglement: Newtonian Field vs. Gravitons

Kavli Affiliate: Robert M. Wald | First 5 Authors: Daine L. Danielson, Gautam Satishchandran, Robert M. Wald, , | Summary: We argue that if the Newtonian gravitational field of a body can mediate entanglement with another body, then it should also be possible for the body producing the Newtonian field to entangle directly with on-shell […]


Continue.. Gravitationally Mediated Entanglement: Newtonian Field vs. Gravitons

Deep XMM-Newton Observations of an X-ray Weak, Broad Absorption Line Quasar at $z=6.5$

Kavli Affiliate: Ran Wang | First 5 Authors: Jinyi Yang, Xiaohui Fan, Feige Wang, Giorgio Lanzuisi, Riccardo Nanni | Summary: We report X-ray observations of the most distant known gravitationally lensed quasar, J0439+1634 at $z=6.52$, which is also a broad absorption line (BAL) quasar, using the XMM-Newton Observatory. With a 130 ks exposure, the quasar […]


Continue.. Deep XMM-Newton Observations of an X-ray Weak, Broad Absorption Line Quasar at $z=6.5$

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vish Nath, Md Mahfuzur Rahman Siddiquee | Summary: Semantic segmentation of 3D medical images is a challenging task due to the high variability of the shape and pattern of objects (such as organs or tumors). Given the recent success of deep […]


Continue.. HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

Lessons for adaptive mesh refinement in numerical relativity

Kavli Affiliate: Ulrich Sperhake | First 5 Authors: Miren Radia, Ulrich Sperhake, Amelia Drew, Katy Clough, Pau Figueras | Summary: We demonstrate the flexibility and utility of the Berger-Rigoutsos Adaptive Mesh Refinement (AMR) algorithm used in the open-source numerical relativity code GRChombo for generating gravitational waveforms from binary black-hole inspirals, and for studying other problems […]


Continue.. Lessons for adaptive mesh refinement in numerical relativity