Projective LDDMM: Spatially Reconstructing a Story of Rostrally-Dominant Tau in Alzheimer’s Disease

Posted by klaurent Hopkins, NTNU

Kavli Affiliate: Michael Miller, Susumu Mori, Menno Witter | Authors: Kaitlin Stouffer, Menno Witter, Claire Chen, Eileen Xu, Marilyn Albert, Susumu Mori, Juan Troncoso, Daniel Jacob Tward and Michael Miller | Summary: Since Braak’s initial histological observations, it has been recognized that Alzheimer’s disease (AD) neurofibrillary tangles (NFTs) appear in the medial temporal lobe (MTL) […]


Continue.. Projective LDDMM: Spatially Reconstructing a Story of Rostrally-Dominant Tau in Alzheimer’s Disease

Hypomyelination reduces parvalbumin interneuron density and auditory cortex inhibitory function

Posted by klaurent Hopkins

Kavli Affiliate: Patrick Kanold | Authors: Beatriz C Borges, Xiangying Meng, Patrick Long, Patrick O Kanold and Gabriel Corfas | Summary: For a long time, myelin was thought to be restricted to excitatory neurons, and studies on dysmyelination focused primarily on excitatory cells. Recent evidence showed that axons of inhibitory neurons in the neocortex are […]


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The Aemulus Project V: Cosmological constraint from small-scale clustering of BOSS galaxies

Posted by klaurent Stanford

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Zhongxu Zhai, Jeremy L. Tinker, Arka Banerjee, Joseph DeRose, Hong Guo | Summary: We analyze clustering measurements of BOSS galaxies using a simulation-based emulator of two-point statistics. We focus on the monopole and quadrupole of the redshift-space correlation function, and the projected correlation function, at scales […]


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Discovering the building blocks of dark matter halo density profiles with neural networks

Posted by Chicago

Kavli Affiliate: Brian Nord | First 5 Authors: Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam | Summary: The density profiles of dark matter halos are typically modeled using empirical formulae fitted to the density profiles of relaxed halo populations. We present a neural network model that is trained to learn the […]


Continue.. Discovering the building blocks of dark matter halo density profiles with neural networks

Discovering the building blocks of dark matter halo density profiles with neural networks

Posted by klaurent Chicago

Kavli Affiliate: Brian Nord | First 5 Authors: Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam | Summary: The density profiles of dark matter halos are typically modeled using empirical formulae fitted to the density profiles of relaxed halo populations. We present a neural network model that is trained to learn the […]


Continue.. Discovering the building blocks of dark matter halo density profiles with neural networks

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 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 […]


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

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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Accessibility in High Energy Physics: Lessons from the Snowmass Process

Posted by klaurent Stanford

Kavli Affiliate: Maria Monzani | Summary:Accessibility to participation in the high energy physics community can be impeded by many barriers. These barriers must be acknowledged and addressed to make access more equitable in the future. An accessibility survey, the Snowmass Summer Study attendance survey, and an improved accessibility survey were sent to the Snowmass2021 community. […]


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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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