Unifying model for three forms of contextual modulation including feedback input from higher visual areas

Posted by klaurent Columbia

Kavli Affiliate: Kenneth Miller | Authors: Serena Di santo, Mario Dipoppa, Andreas Keller, Morgane Roth, Massimo Scanziani and Kenneth D Miller | Summary: Neural responses to a localized visual stimulus are modulated by the content of its surrounding. This phenomenon manifests in several forms of contextual modulation, including three interrelated properties of the visual cortex: […]


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Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

Posted by klaurent UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng | Summary: Domain Adaptation of Black-box Predictors (DABP) aims to learn a model on an unlabeled target domain supervised by a black-box predictor trained on a source domain. It does not require access to both the source-domain […]


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Study of Time Evolution of Thermal and Non-Thermal Emission from an M-Class Solar Flare

Posted by klaurent Tokyo

Kavli Affiliate: Tadayuki Takahashi | First 5 Authors: Shunsaku Nagasawa, Tomoko Kawate, Noriyuki Narukage, Tadayuki Takahashi, Amir Caspi | Summary: We conduct a wide-band X-ray spectral analysis in the energy range of 1.5-100 keV to study the time evolution of the M7.6 class flare of 2016 July 23, with the Miniature X-ray Solar Spectrometer (MinXSS) […]


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Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi | Summary: The elasticity of soft tissues has been widely considered as a characteristic property to differentiate between healthy and vicious tissues and, therefore, motivated several elasticity imaging modalities, such as Ultrasound Elastography, Magnetic Resonance Elastography, […]


Continue.. Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity

Testing for spectral index variations in polarised CMB foregrounds

Posted by klaurent Cambridge

Kavli Affiliate: George Efstathiou | First 5 Authors: Roger de Belsunce, Steven Gratton, George Efstathiou, , | Summary: We present a Bayesian parametric component separation method for polarised microwave sky maps. We solve jointly for the primary cosmic microwave background (CMB) signal and the main Galactic polarised foreground components. For the latter, we consider electron-synchrotron […]


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Improved Constraints on Cosmic Birefringence from the WMAP and Planck Cosmic Microwave Background Polarization Data

Posted by klaurent Tokyo

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Johannes R. Eskilt, Eiichiro Komatsu, , , | Summary: The observed pattern of linear polarization of the cosmic microwave background (CMB) photons is a sensitive probe of physics violating parity symmetry under inversion of spatial coordinates. A new parity-violating interaction might have rotated the plane of linear […]


Continue.. Improved Constraints on Cosmic Birefringence from the WMAP and Planck Cosmic Microwave Background Polarization Data

Improved Constraints on Cosmic Birefringence from the WMAP and Planck Cosmic Microwave Background Polarization Data

Posted by klaurent Tokyo

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Johannes R. Eskilt, Eiichiro Komatsu, , , | Summary: The observed pattern of linear polarization of the cosmic microwave background (CMB) photons is a sensitive probe of physics violating parity symmetry under inversion of spatial coordinates. A new parity-violating interaction might have rotated the plane of linear […]


Continue.. Improved Constraints on Cosmic Birefringence from the WMAP and Planck Cosmic Microwave Background Polarization Data

On Consistency in Graph Neural Network Interpretation

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang, | Summary: Uncovering rationales behind predictions of graph neural networks (GNNs) has received increasing attention over recent years. Instance-level GNN explanation aims to discover critical input elements, like nodes or edges, that the target GNN relies upon for making […]


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A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P Fisher-Hoch, Joseph B Mccormick | Summary: Multiple chronic conditions (MCC) are one of the biggest challenges of modern times. The evolution of MCC follows a complex stochastic process that is influenced by a variety of risk factors, […]


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Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Mingzhe Li, XieXiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang | Summary: Contrastive learning has achieved impressive success in generation tasks to militate the "exposure bias" problem and discriminatively exploit the different quality of references. Existing works mostly focus on contrastive learning on the instance-level without discriminating […]


Continue.. Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation