CUE Vectors: Modular Training of Language Models Conditioned on Diverse Contextual Signals

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Scott Novotney, Sreeparna Mukherjee, Zeeshan Ahmed, Andreas Stolcke, | Summary: We propose a framework to modularize the training of neural language models that use diverse forms of sentence-external context (including metadata) by eliminating the need to jointly train sentence-external and within-sentence encoders. Our approach, contextual universal embeddings […]


Continue.. CUE Vectors: Modular Training of Language Models Conditioned on Diverse Contextual Signals

Cosmo-Paleontology: Statistics of Fossil Groups in a Gravity-Only Simulation

Kavli Affiliate: Salman Habib | First 5 Authors: Aurora Cossairt, Michael Buehlmann, Eve Kovacs, Xin Liu, Salman Habib | Summary: We present a detailed study of fossil group candidates identified in "Last Journey", a gravity-only cosmological simulation covering a $(3.4, h^{-1}mathrm{Gpc})^3$ volume with a particle mass resolution of $m_p approx 2.7 times 10^9, h^{-1}mathrm{M}_odot$. The […]


Continue.. Cosmo-Paleontology: Statistics of Fossil Groups in a Gravity-Only Simulation

Cosmo-Paleontology: Statistics of Fossil Groups in a Gravity-Only Simulation

Kavli Affiliate: Salman Habib | First 5 Authors: Aurora Cossairt, Michael Buehlmann, Eve Kovacs, Xin Liu, Salman Habib | Summary: We present a detailed study of fossil group candidates identified in "Last Journey", a gravity-only cosmological simulation covering a $(3.4, h^{-1}mathrm{Gpc})^3$ volume with a particle mass resolution of $m_p approx 2.7 times 10^9, h^{-1}mathrm{M}_odot$. The […]


Continue.. Cosmo-Paleontology: Statistics of Fossil Groups in a Gravity-Only Simulation

Learning Representation for Bayesian Optimization with Collision-free Regularization

Kavli Affiliate: Brian Nord | First 5 Authors: Fengxue Zhang, Brian Nord, Yuxin Chen, , | Summary: Bayesian optimization has been challenged by datasets with large-scale, high-dimensional, and non-stationary characteristics, which are common in real-world scenarios. Recent works attempt to handle such input by applying neural networks ahead of the classical Gaussian process to learn […]


Continue.. Learning Representation for Bayesian Optimization with Collision-free Regularization

A Strategy for Low-Mass Dark Matter Searches with Cryogenic Detectors in the SuperCDMS SNOLAB Facility

Kavli Affiliate: D. B. Macfarlane | First 5 Authors: SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib, D. W. P. Amaral, T. Aralis | Summary: The SuperCDMS Collaboration is currently building SuperCDMS SNOLAB, a dark matter search focused on nucleon-coupled dark matter in the 1-5 GeV mass range. Looking to the future, the Collaboration has developed […]


Continue.. A Strategy for Low-Mass Dark Matter Searches with Cryogenic Detectors in the SuperCDMS SNOLAB Facility

A Strategy for Low-Mass Dark Matter Searches with Cryogenic Detectors in the SuperCDMS SNOLAB Facility

Kavli Affiliate: D. B. Macfarlane | First 5 Authors: SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib, D. W. P. Amaral, T. Aralis | Summary: The SuperCDMS Collaboration is currently building SuperCDMS SNOLAB, a dark matter search focused on nucleon-coupled dark matter in the 1-5 GeV/c$^2$ mass range. Looking to the future, the Collaboration has developed […]


Continue.. A Strategy for Low-Mass Dark Matter Searches with Cryogenic Detectors in the SuperCDMS SNOLAB Facility

Dark-matter And Neutrino Computation Explored (DANCE) Community Input to Snowmass

Kavli Affiliate: Maria Elena Monzani | First 5 Authors: Amy Roberts, Christopher Tunnell, Belina von Krosigk, Tyler Anderson, Jason Brodsky | Summary: This paper summarizes the needs of the dark matter and neutrino communities as it relates to computation. The scope includes data acquisition, triggers, data management and processing, data preservation, simulation, machine learning, data […]


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Portability: A Necessary Approach for Future Scientific Software

Kavli Affiliate: Salman Habib | First 5 Authors: Meghna Bhattacharya, Paolo Calafiura, Taylor Childers, Mark Dewing, Zhihua Dong | Summary: Today’s world of scientific software for High Energy Physics (HEP) is powered by x86 code, while the future will be much more reliant on accelerators like GPUs and FPGAs. The portable parallelization strategies (PPS) project […]


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Snowmass2021 Cosmic Frontier: The landscape of low-threshold dark matter direct detection in the next decade

Kavli Affiliate: Noah Kurinsky | First 5 Authors: Rouven Essig, Graham K. Giovanetti, Noah Kurinsky, Dan McKinsey, Karthik Ramanathan | Summary: The search for particle-like dark matter with meV-to-GeV masses has developed rapidly in the past few years. We summarize the science case for these searches, the recent progress, and the exciting upcoming opportunities. Funding […]


Continue.. Snowmass2021 Cosmic Frontier: The landscape of low-threshold dark matter direct detection in the next decade

Snowmass2021 Cosmic Frontier: The landscape of low-threshold dark matter direct detection in the next decade

Kavli Affiliate: Noah Kurinsky | First 5 Authors: Rouven Essig, Graham K. Giovanetti, Noah Kurinsky, Dan McKinsey, Karthik Ramanathan | Summary: The search for particle-like dark matter with meV-to-GeV masses has developed rapidly in the past few years. We summarize the science case for these searches, the recent progress, and the exciting upcoming opportunities. Funding […]


Continue.. Snowmass2021 Cosmic Frontier: The landscape of low-threshold dark matter direct detection in the next decade