PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling

Kavli Affiliate: Wei Gao | First 5 Authors: Hao Liu, Hui Yuan, Junhui Hou, Raouf Hamzaoui, Wei Gao | Summary: We propose a generative adversarial network for point cloud upsampling, which can not only make the upsampled points evenly distributed on the underlying surface but also efficiently generate clean high frequency regions. The generator of […]


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Cosmology and perturbations in tachyonic massive gravity

Kavli Affiliate: Lijing Shao | First 5 Authors: Amin Rezaei Akbarieh, Sobhan Kazempour, Lijing Shao, , | Summary: As massive gravity and its extensions offer physically well-defined gravitational theories with a nonzero graviton mass, we present a new extension of the de Rham-Gabadadze-Tolley (dRGT)massive gravity, which is tachyonic massive gravity theory. We firstly introduce the […]


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Automated reconstruction of bound states in bilayer graphene quantum dots

Kavli Affiliate: Eliska Greplova | First 5 Authors: Jozef Bucko, Frank Schäfer, František Herman, Rebekka Garreis, Chuyao Tong | Summary: Bilayer graphene is a nanomaterial that allows for well-defined, separated quantum states to be defined by electrostatic gating and, therefore, provides an attractive platform to construct tunable quantum dots. When a magnetic field perpendicular to […]


Continue.. Automated reconstruction of bound states in bilayer graphene quantum dots

Automated reconstruction of bound states in bilayer graphene quantum dots

Kavli Affiliate: Eliska Greplova | First 5 Authors: Jozef Bucko, Frank Schäfer, František Herman, Rebekka Garreis, Chuyao Tong | Summary: Bilayer graphene is a nanomaterial that allows for well-defined, separated quantum states to be defined by electrostatic gating and, therefore, provides an attractive platform to construct tunable quantum dots. When a magnetic field perpendicular to […]


Continue.. Automated reconstruction of bound states in bilayer graphene quantum dots

Automated reconstruction of bound states in bilayer graphene quantum dots

Kavli Affiliate: Eliska Greplova | First 5 Authors: Jozef Bucko, Frank Schäfer, František Herman, Rebekka Garreis, Chuyao Tong | Summary: Bilayer graphene is a nanomaterial that allows for well-defined, separated quantum states to be defined by electrostatic gating and, therefore, provides an attractive platform to construct tunable quantum dots. When a magnetic field perpendicular to […]


Continue.. Automated reconstruction of bound states in bilayer graphene quantum dots

From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Sebastian Wagner-Carena, Jelle Aalbers, Simon Birrer, Ethan O. Nadler, Elise Darragh-Ford | Summary: Constraining the distribution of small-scale structure in our universe allows us to probe alternatives to the cold dark matter paradigm. Strong gravitational lensing offers a unique window into small dark matter halos ($<10^{10} […]


Continue.. From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses

Spatially distributed computation in cortical circuits

Kavli Affiliate: Thomas Albright | Authors: Sergei Gepshtein, Ambarish Pawar, Sunwoo Kwon, Sergey Savel’ev and Thomas D Albright | Summary: The traditional view of neural computation in the cerebral cortex holds that sensory neurons are specialized, i.e., selective for certain dimensions of sensory stimuli. This view was challenged by evidence of contextual interactions between stimulus […]


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Loss of functional heterogeneity along the CA3 transverse axis in aging

Kavli Affiliate: Michela Gallagher, James Knierim | Authors: Heekyung Lee, Zitong Wang, Arjuna Tilekeratne, Nick Lukish, Scott Zeger, Michela Gallagher and James J Knierim | Summary: Age-related deficits in pattern separation have been postulated to bias the output of hippocampal memory processing toward pattern completion, which can cause deficits in accurate memory retrieval. While the […]


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RFI Identification Based On Deep-Learning]{A Robust RFI Identification For Radio Interferometry based on a Convolutional Neural Network

Kavli Affiliate: Feng Wang | First 5 Authors: Haomin Sun, Hui Deng, Feng Wang, Ying Mei, Tingting Xu | Summary: The rapid development of new generation radio interferometers such as the Square Kilometer Array (SKA) has opened up unprecedented opportunities for astronomical research. However, anthropogenic Radio Frequency Interference (RFI) from communication technologies and other human […]


Continue.. RFI Identification Based On Deep-Learning]{A Robust RFI Identification For Radio Interferometry based on a Convolutional Neural Network