Shape dependence of mutual information in the OPE limit: linear responses

Kavli Affiliate: Huajia Wang | First 5 Authors: Liangyu Chen, Huajia Wang, , , | Summary: Mutual information serves as an important measure of correlation between subsystem components. In the framework of quantum field theories (QFTs) they have better regulated UV behavior than entanglement entropy, and thus provide more direct access to universal aspects of […]


Continue.. Shape dependence of mutual information in the OPE limit: linear responses

Compression-enabled interpretability of voxel-wise encoding models

Kavli Affiliate: Reza Abbasi-Asl | Authors: Fatemeh Kamali, Amir Abolfazl Suratgar, Mohammadbagher Menhaj and Reza Abbasi-Asl | Summary: Voxel-wise encoding models based on convolutional neural networks (CNNs) have emerged as state-of-the-art predictive models of brain activity evoked by natural movies. Despite the superior predictive performance of CNN-based models, the huge number of parameters in these […]


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Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R, and GenePattern Notebook implementations of CoGAPS

Kavli Affiliate: Loyal Goff | Authors: Jeanette Anna Irene Johnson, Ashley Tsang, Jacob T Mitchell, Emily F Davis-Marcisak, Thomas Sherman, Ted Liefeld, Melanie Loth, Loyal Goff, Jacquelyn Zimmerman, Ben Kinny-Köster, Elizabeth Jaffee, Pablo Tamayo, Jill Mesirov, Michael Reich, Elana J Fertig and Genevieve L Stein-O’Brien | Summary: Non-negative matrix factorization (NMF) is an unsupervised learning […]


Continue.. Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R, and GenePattern Notebook implementations of CoGAPS

PSR J0952-0607: The Fastest and Heaviest Known Galactic Neutron Star

Kavli Affiliate: Roger W. Romani | First 5 Authors: Roger W. Romani, D. Kandel, Alexei V. Filippenko, Thomas G. Brink, WeiKang Zheng | Summary: We describe Keck-telescope spectrophotometry and imaging of the companion of the “black widow" pulsar PSR~J0952$-$0607, the fastest known spinning neutron star (NS) in the disk of the Milky Way. The companion […]


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Modeling the Lyman-$α$ forest with Eulerian and SPH hydrodynamical methods

Kavli Affiliate: Salman Habib | First 5 Authors: Solène Chabanier, J. D. Emberson, Zarija Lukić, Jesus Pulido, Salman Habib | Summary: We compare two state-of-the-art numerical codes to study the overall accuracy in modeling the intergalactic medium and reproducing Lyman-$alpha$ forest observables for DESI and high-resolution data sets. The codes employ different approaches to solving […]


Continue.. Modeling the Lyman-$α$ forest with Eulerian and SPH hydrodynamical methods

SHREC’22 Track: Sketch-Based 3D Shape Retrieval in the Wild

Kavli Affiliate: Feng Wang | First 5 Authors: Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Yi Fang | Summary: Sketch-based 3D shape retrieval (SBSR) is an important yet challenging task, which has drawn more and more attention in recent years. Existing approaches address the problem in a restricted setting, without appropriately simulating real […]


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A physical model for the UV/optical power spectra of AGN

Kavli Affiliate: Erin Kara | First 5 Authors: Christos Panagiotou, Iossif Papadakis, Erin Kara, Elias Kammoun, Michal Dovčiak | Summary: The UV/optical variability of AGN has long been thought to be driven by the X-ray illumination of the accretion disk. However, recent multi-wavelength campaigns of nearby Seyfert galaxies seem to challenge this paradigm, with an […]


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B-mode constraints from Planck low multipole polarisation data

Kavli Affiliate: George Efstathiou | First 5 Authors: Roger de Belsunce, Steven Gratton, George Efstathiou, , | Summary: We present constraints on primordial B modes from large angular scale cosmic microwave background polarisation anisotropies measured with the Planck satellite. To remove Galactic polarised foregrounds, we use a Bayesian parametric component separation method, modelling synchrotron radiation […]


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An Ultra-low Power TinyML System for Real-time Visual Processing at Edge

Kavli Affiliate: Huawei Zhang | First 5 Authors: Kunran Xu, Huawei Zhang, Yishi Li, Yuhao Zhang, Rui Lai | Summary: Tiny machine learning (TinyML), executing AI workloads on resource and power strictly restricted systems, is an important and challenging topic. This brief firstly presents an extremely tiny backbone to construct high efficiency CNN models for […]


Continue.. An Ultra-low Power TinyML System for Real-time Visual Processing at Edge