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

Posted by klaurent Stanford

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 […]


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

Posted by klaurent Chicago

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 […]


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

Posted by Chicago

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 […]


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DePS: An improved deep learning model for de novo peptide sequencing

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Cheng Ge, Yi Lu, Jia Qu, Liangxu Xie, Feng Wang | Summary: De novo peptide sequencing from mass spectrometry data is an important method for protein identification. Recently, various deep learning approaches were applied for de novo peptide sequencing and DeepNovoV2 is one of the represetative models. […]


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A portable sub Hertz ultra-stable laser over 1700km highway transportation

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Dongdong Jiao, Guanjun Xu, Jing Gao, Xue Deng, Qi Zang | Summary: We present a subHz linewidth portable ultrastable laser with the mass and volume of are 40kg and 400mm*280mm*450mm, respectively, that meets the requirements of automatic frequency locking and road transportation. A dynamic analytical model of […]


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Learning Representation for Bayesian Optimization with Collision-free Regularization

Posted by klaurent Chicago

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 […]


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

Posted by klaurent Stanford

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 […]


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

Posted by klaurent Stanford

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 […]


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

Posted by klaurent Stanford

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

Posted by klaurent Chicago

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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