Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval

Kavli Affiliate: Wei Gao | First 5 Authors: Xianghao Zang, Ge Li, Wei Gao, , | Summary: In video surveillance, pedestrian retrieval (also called person re-identification) is a critical task. This task aims to retrieve the pedestrian of interest from non-overlapping cameras. Recently, transformer-based models have achieved significant progress for this task. However, these models […]


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Simulating Hydrodynamics in Cosmology with CRK-HACC

Kavli Affiliate: Katrin Heitmann | First 5 Authors: Nicholas Frontiere, J. D. Emberson, Michael Buehlmann, Joseph Adamo, Salman Habib | Summary: We introduce CRK-HACC, an extension of the Hardware/Hybrid Accelerated Cosmology Code (HACC), to resolve gas hydrodynamics in large-scale structure formation simulations of the universe. The new framework couples the HACC gravitational N-body solver with […]


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Probing Cosmic Inflation with the LiteBIRD Cosmic Microwave Background Polarization Survey

Kavli Affiliate: C. L. Kuo | First 5 Authors: LiteBIRD Collaboration, E. Allys, K. Arnold, J. Aumont, R. Aurlien | Summary: LiteBIRD, the Lite (Light) satellite for the study of B-mode polarization and Inflation from cosmic background Radiation Detection, is a space mission for primordial cosmology and fundamental physics. The Japan Aerospace Exploration Agency (JAXA) […]


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Asteroid Measurements at Millimeter Wavelengths with the South Pole Telescope

Kavli Affiliate: C. L. Kuo | First 5 Authors: P. M. Chichura, A. Foster, C. Patel, N. Ossa-Jaen, P. A. R. Ade | Summary: We present the first measurements of asteroids in millimeter wavelength (mm) data from the South Pole Telescope (SPT), which is used primarily to study the cosmic microwave background (CMB). We analyze […]


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Constraining Dark matter annihilation with Dark Energy Survey Y3 LSBG sample

Kavli Affiliate: Masahiro Takada | First 5 Authors: Daiki Hashimoto, Atsushi J. Nishizawa, Masahiro Takada, , | Summary: To reveal natures of the dark matter (DM) particles, a gamma-ray signal produced in annihilation processes of DM into the standard model particles has been one of the major probes. The cross-correlation between highly DM dominated structures, […]


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GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs

Kavli Affiliate: Jia Liu | First 5 Authors: Menglu Yu, Ye Tian, Bo Ji, Chuan Wu, Hridesh Rajan | Summary: Fueled by advances in distributed deep learning (DDL), recent years have witnessed a rapidly growing demand for resource-intensive distributed/parallel computing to process DDL computing jobs. To resolve network communication bottleneck and load balancing issues in […]


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An Optimally-Tuned Starting Point for Single-Shot $GW$ Calculations of Solids

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Stephen E. Gant, Jonah B. Haber, Marina R. Filip, Francisca Sagredo, Dahvyd Wing | Summary: The dependence of ab initio many-body perturbation theory within the $GW$ approximation on the eigensystem used in calculating quasiparticle corrections limits this method’s predictive power. Here, we investigate the accuracy of […]


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Rapid discovery of cathodes, ionic conductors and solid-state electrolytes through topological migration analysis

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Jimmy-Xuan Shen, Haoming Howard Li, Ann C. Rutt, Matthew K. Horton, Kristin A. Persson | Summary: We present a graph-theoretic analysis framework for ion migration in solid-state materials. The nodes of the graph are the metastable sites of the cation and the edges are discrete migration […]


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Prospects for the detection of the Diffuse Supernova Neutrino Background with the experiments SK-Gd and JUNO

Kavli Affiliate: Mark Vagins | First 5 Authors: Yufeng Li, Mark Vagins, Michael Wurm, , | Summary: The advent of gadolinium-loaded Super-Kamiokande (SK-Gd) and of the soon-to-start JUNO liquid scintillator detector marks a substantial improvement in the global sensitivity for the Diffuse Supernova Neutrino Background (DSNB). The present article reviews the detector properties most relevant […]


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AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models

Kavli Affiliate: Xiang Zhang | First 5 Authors: Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang | Summary: Knowledge distillation (KD) methods compress large models into smaller students with manually-designed student architectures given pre-specified computational cost. This requires several trials to find a viable student, and further repeating the process for each student […]


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