Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays

Posted by klaurent Oxford

Kavli Affiliate: Molly Stevens | Summary:With the rise in engineered biomolecular devices, there is an increased need for tailor-made biological sequences. Often, many similar biological sequences need to be made for a specific application meaning numerous, sometimes prohibitively expensive, lab experiments are necessary for their optimization. This paper presents a transfer learning design of experiments […]


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Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Panqi Jia, A. Burakhan Koyuncu, Jue Mao, Ze Cui, Yi Ma | Summary: The research on neural network (NN) based image compression has shown superior performance compared to classical compression frameworks. Unlike the hand-engineered transforms in the classical frameworks, NN-based models learn the non-linear transforms providing more […]


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Model X-ray:Detecting Backdoored Models via Decision Boundary

Posted by dbos Berkeley

Kavli Affiliate: Ting Xu | First 5 Authors: Yanghao Su, Jie Zhang, Ting Xu, Tianwei Zhang, Weiming Zhang | Summary: Backdoor attacks pose a significant security vulnerability for deep neural networks (DNNs), enabling them to operate normally on clean inputs but manipulate predictions when specific trigger patterns occur. Currently, post-training backdoor detection approaches often operate […]


Continue.. Model X-ray:Detecting Backdoored Models via Decision Boundary

Model X-ray:Detect Backdoored Models via Decision Boundary

Posted by dbos Berkeley

Kavli Affiliate: Ting Xu | First 5 Authors: Yanghao Su, Jie Zhang, Ting Xu, Tianwei Zhang, Weiming Zhang | Summary: Deep neural networks (DNNs) have revolutionized various industries, leading to the rise of Machine Learning as a Service (MLaaS). In this paradigm, well-trained models are typically deployed through APIs. However, DNNs are susceptible to backdoor […]


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An Opacity-Free Method of Testing the Cosmic Distance Duality Relation Using Strongly Lensed Gravitational Wave Signals

Posted by dbos Peking

Kavli Affiliate: Xian Chen | First 5 Authors: Shun-Jia Huang, En-Kun Li, Jian-dong Zhang, Xian Chen, Zucheng Gao | Summary: The cosmic distance duality relation (CDDR), expressed as DL(z) = (1 + z)2DA(z), plays an important role in modern cosmology. In this paper, we propose a new method of testing CDDR using strongly lensed gravitational […]


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New graph-neural-network flavor tagger for Belle II and measurement of $sin2φ_1$ in $B^0 to J/ψK^0_text{S}$ decays

Posted by dbos Tokyo

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, L. Aggarwal, H. Ahmed, H. Aihara | Summary: We present GFlaT, a new algorithm that uses a graph-neural-network to determine the flavor of neutral $B$ mesons produced in $Upsilon(4S)$ decays. It improves previous algorithms by using the information from all charged final-state […]


Continue.. New graph-neural-network flavor tagger for Belle II and measurement of $sin2φ_1$ in $B^0 to J/ψK^0_text{S}$ decays

A new graph-neural-network flavor tagger for Belle II and measurement of $sin2φ_1$ in $B^0 to J/ψK^0_text{S}$ decays

Posted by dbos Tokyo

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, L. Aggarwal, H. Ahmed, H. Aihara | Summary: We present GFlaT, a new algorithm that uses a graph-neural-network to determine the flavor of neutral $B$ mesons produced in $Upsilon(4S)$ decays. It improves previous algorithms by using the information from all charged final-state […]


Continue.. A new graph-neural-network flavor tagger for Belle II and measurement of $sin2φ_1$ in $B^0 to J/ψK^0_text{S}$ decays

EDTC: enhance depth of text comprehension in automated audio captioning

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Liwen Tan, Yin Cao, Yi Zhou, , | Summary: Modality discrepancies have perpetually posed significant challenges within the realm of Automated Audio Captioning (AAC) and across all multi-modal domains. Facilitating models in comprehending text information plays a pivotal role in establishing a seamless connection between the two […]


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Direct Detection of Dark Photon Dark Matter with the James Webb Space Telescope

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Haipeng An, Shuailiang Ge, Jia Liu, Zhiyao Lu, | Summary: In this study, we propose an investigation into dark photon dark matter (DPDM) within the infrared frequency band, utilizing highly sensitive infrared light detectors commonly integrated into space telescopes, such as the James Webb Space Telescope (JWST). […]


Continue.. Direct Detection of Dark Photon Dark Matter with the James Webb Space Telescope

Direct Detection of Dark Photon Dark Matter with the James Webb Space Telescope

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Haipeng An, Shuailiang Ge, Jia Liu, Zhiyao Lu, | Summary: In this study, we propose an investigation into dark photon dark matter (DPDM) within the infrared frequency band, utilizing highly sensitive infrared light detectors commonly integrated into space telescopes, such as the James Webb Space Telescope (JWST). […]


Continue.. Direct Detection of Dark Photon Dark Matter with the James Webb Space Telescope