MUSSES2020J: The Earliest Discovery of a Fast Blue Ultra-luminous Transient at Redshift 1.063

Kavli Affiliate: Naoki Yasuda | First 5 Authors: Ji-an Jiang, Naoki Yasuda, Keiichi Maeda, Nozomu Tominaga, Mamoru Doi | Summary: In this letter we report a discovery of an ultra-luminous fast evolving transient in rest-frame UV wavelengths, MUSSES2020J, soon after its occurrence by using the Hyper Suprime-Cam (HSC) mounted on the 8.2m Subaru telescope. The […]


Continue.. MUSSES2020J: The Earliest Discovery of a Fast Blue Ultra-luminous Transient at Redshift 1.063

MUSSES2020J: The Earliest Discovery of a Fast Blue Ultraluminous Transient at Redshift 1.063

Kavli Affiliate: Naoki Yasuda | First 5 Authors: Ji-an Jiang, Naoki Yasuda, Keiichi Maeda, Nozomu Tominaga, Mamoru Doi | Summary: In this Letter, we report the discovery of an ultraluminous fast-evolving transient in rest-frame UV wavelengths, MUSSES2020J, soon after its occurrence by using the Hyper Suprime-Cam (HSC) mounted on the 8.2 m Subaru telescope. The […]


Continue.. MUSSES2020J: The Earliest Discovery of a Fast Blue Ultraluminous Transient at Redshift 1.063

The role of the cerebellum in learning to predict reward: evidence from cerebellar ataxia

Kavli Affiliate: Daphna Shohamy | Authors: Jonathan Nicholas, Christian Amlang, Chi-Ying Lin, Leila Montaser-Kouhsari, Natasha Desai, Ming-Kai Pan, Sheng-Han Kuo and Daphna Shohamy | Summary: Recent findings in animals have challenged the traditional view of the cerebellum solely as the site of motor control, suggesting that the cerebellum may also be important for learning to […]


Continue.. The role of the cerebellum in learning to predict reward: evidence from cerebellar ataxia

Prioritizing virtual screening with interpretable interaction fingerprints

Kavli Affiliate: Michael Keiser | Authors: Alexandre V Fassio, Laura Shub, Luca Ponzoni, Jessica McKinley, Matthew J O’Meara, Rafaela S Ferreira, Michael J Keiser and Raquel C de Melo Minardi | Summary: Machine learning-based drug discovery success depends on molecular representation. Yet traditional molecular fingerprints omit both the protein and pointers back to structural information […]


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A developmental pathway for epithelial-to-motoneuron transformation in C. elegans

Kavli Affiliate: Shai Shaham | Authors: Alina Rashid, Maya Tevlin, Yun Lu and Shai Shaham | Summary: Motoneurons and motoneuron-like pancreatic beta cells arise from radial glia and ductal cells, both tube-lining progenitors that share molecular regulators. To uncover programs underlying motoneuron formation, we studied a similar, cell-division-independent transformation of the C. elegans tube-lining Y […]


Continue.. A developmental pathway for epithelial-to-motoneuron transformation in C. elegans

A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization

Kavli Affiliate: Xiang Zhang | First 5 Authors: Puyuan Liu, Xiang Zhang, Lili Mou, , | Summary: Sentence summarization aims at compressing a long sentence into a short one that keeps the main gist, and has extensive real-world applications such as headline generation. In previous work, researchers have developed various approaches to improve the ROUGE […]


Continue.. A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization

A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization

Kavli Affiliate: Xiang Zhang | First 5 Authors: Puyuan Liu, Xiang Zhang, Lili Mou, , | Summary: Sentence summarization aims at compressing a long sentence into a short one that keeps the main gist, and has extensive real-world applications such as headline generation. In previous work, researchers have developed various approaches to improve the ROUGE […]


Continue.. A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization

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

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

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 […]


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