Highly asymmetric probability distribution from a finite-width upward step during inflation

Kavli Affiliate: Misao Sasaki | First 5 Authors: Ryodai Kawaguchi, Tomohiro Fujita, Misao Sasaki, , | Summary: We study a single-field inflation model in which the inflaton potential has an upward step between two slow-roll regimes by taking into account the finite width of the step. We calculate the probability distribution function (PDF) of the […]


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Linearly dispersive bands at the onset of correlations in K$_x$C$_{60}$ films

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Ping Ai, Luca Moreschini, Ryo Mori, Drew W. Latzke, Jonathan D. Denlinger | Summary: Molecular crystals are a flexible platform to induce novel electronic phases. Due to the weak forces between molecules, intermolecular distances can be varied over relatively larger ranges than interatomic distances in atomic crystals. […]


Continue.. Linearly dispersive bands at the onset of correlations in K$_x$C$_{60}$ films

Linearly dispersive bands at the onset of correlations in K$_x$C$_{60}$ films

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Ping Ai, Luca Moreschini, Ryo Mori, Drew W. Latzke, Jonathan D. Denlinger | Summary: Molecular crystals are a flexible platform to induce novel electronic phases. Due to the weak forces between molecules, intermolecular distances can be varied over relatively larger ranges than interatomic distances in atomic crystals. […]


Continue.. Linearly dispersive bands at the onset of correlations in K$_x$C$_{60}$ films

ReSup: Reliable Label Noise Suppression for Facial Expression Recognition

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Yan Lu, Huan Yan, Jingyang Huang, Yusheng Ji | Summary: Because of the ambiguous and subjective property of the facial expression recognition (FER) task, the label noise is widely existing in the FER dataset. For this problem, in the training phase, current FER methods often […]


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High-resolution volumetric imaging constrains compartmental models to explore synaptic integration and temporal processing by cochlear nucleus globular bushy cells

Kavli Affiliate: Mark Ellisman | Authors: George A. Spirou, Matthew Kersting, Sean Carr, Bayan Razzaq, Carolyna Y. Alves-Pinto, Mariah Dawson, Mark H. Ellisman and Paul B. Manis | Summary: Globular bushy cells (GBCs) of the cochlear nucleus play central roles in the temporal processing of sound. Despite investigation over many decades, fundamental questions remain about […]


Continue.. High-resolution volumetric imaging constrains compartmental models to explore synaptic integration and temporal processing by cochlear nucleus globular bushy cells

Probing reaction channels via reinforcement learning

Kavli Affiliate: David T. Limmer | First 5 Authors: Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang | Summary: We propose a reinforcement learning based method to identify important configurations that connect reactant and product states along chemical reaction paths. By shooting multiple trajectories from these configurations, we can generate an […]


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Astrometric Calibration of the Beijing$-$Arizona Sky Survey

Kavli Affiliate: Linhua Jiang | First 5 Authors: Xiyan Peng, Zhaoxiang Qi, Tianmeng Zhang, Zhenyu Wu, Zhimin Zhou | Summary: We present the astrometric calibration of the Beijing-Arizona Sky Survey (BASS). The BASS astrometry was tied to the International Celestial Reference Frame via the emph{Gaia} Data Release 2 reference catalog. For effects that were stable […]


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Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction

Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Huiyun Yang, Zhen Wu, Jiaze Chen, Fei Zhao | Summary: Aspect Sentiment Triplet Extraction (ASTE) is widely used in various applications. However, existing ASTE datasets are limited in their ability to represent real-world scenarios, hindering the advancement of research in this area. In this paper, […]


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WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Huangzhao Zhang, Zhi Jin, Ge Li, | Summary: Bug localization, which is used to help programmers identify the location of bugs in source code, is an essential task in software development. Researchers have already made efforts to harness the powerful deep learning (DL) techniques to […]


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Bayesian target optimisation for high-precision holographic optogenetics

Kavli Affiliate: Liam Paninski | Authors: Marcus A Triplett, Marta Gajowa, Hillel Adesnik and Liam Paninski | Summary: Two-photon optogenetics has transformed our ability to probe the structure and function of neural circuits. However, achieving precise optogenetic control of neural ensemble activity has remained fundamentally constrained by the problem of off-target stimulation (OTS): the inadvertent […]


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