Ultrafast Radiographic Imaging and Tracking: An overview of instruments, methods, data, and applications

Posted by klaurent Cornell

Kavli Affiliate: Sol M. Gruner | First 5 Authors: Zhehui Wang, Andrew F. T. Leong, Angelo Dragone, Arianna E. Gleason, Rafael Ballabriga | Summary: Ultrafast radiographic imaging and tracking (U-RadIT) use state-of-the-art ionizing particle and light sources to experimentally study sub-nanosecond dynamic processes in physics, chemistry, biology, geology, materials science and other fields. These processes, […]


Continue.. Ultrafast Radiographic Imaging and Tracking: An overview of instruments, methods, data, and applications

Ultrafast Radiographic Imaging and Tracking: An overview of instruments, methods, data, and applications

Posted by klaurent Cornell

Kavli Affiliate: Sol M. Gruner | First 5 Authors: Zhehui Wang, Andrew F. T. Leong, Angelo Dragone, Arianna E. Gleason, Rafael Ballabriga | Summary: Ultrafast radiographic imaging and tracking (U-RadIT) use state-of-the-art ionizing particle and light sources to experimentally study sub-nanosecond dynamic processes in physics, chemistry, biology, geology, materials science and other fields. These processes, […]


Continue.. Ultrafast Radiographic Imaging and Tracking: An overview of instruments, methods, data, and applications

Ultrafast Radiographic Imaging and Tracking: An overview of instruments, methods, data, and applications

Posted by klaurent Cornell

Kavli Affiliate: Sol M. Gruner | First 5 Authors: Zhehui Wang, Andrew F. T. Leong, Angelo Dragone, Arianna E. Gleason, Rafael Ballabriga | Summary: Ultrafast radiographic imaging and tracking (U-RadIT) use state-of-the-art ionizing particle and light sources to experimentally study sub-nanosecond dynamic processes in physics, chemistry, biology, geology, materials science and other fields. These processes, […]


Continue.. Ultrafast Radiographic Imaging and Tracking: An overview of instruments, methods, data, and applications

COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao | Summary: Universal domain adaptation (UniDA) aims to address domain and category shifts across data sources. Recently, due to more stringent data restrictions, researchers have introduced source-free UniDA (SF-UniDA). SF-UniDA methods eliminate the need for direct access […]


Continue.. COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation

COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao | Summary: Universal domain adaptation (UniDA) aims to address domain and category shifts across data sources. Recently, due to more stringent data restrictions, researchers have introduced source-free UniDA (SF-UniDA). SF-UniDA methods eliminate the need for direct access […]


Continue.. COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation

COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype

Posted by klaurent UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao | Summary: Universal Domain Adaptation (UniDA) aims to distinguish common and private classes between the source and target domains where domain shift exists. Recently, due to more stringent data restrictions, researchers have introduced Source-Free UniDA (SF-UniDA) in […]


Continue.. COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype

CharacterChat: Learning towards Conversational AI with Personalized Social Support

Posted by klaurent Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Quan Tu, Chuanqi Chen, Jinpeng Li, Yanran Li, Shuo Shang | Summary: In our modern, fast-paced, and interconnected world, the importance of mental well-being has grown into a matter of great urgency. However, traditional methods such as Emotional Support Conversations (ESC) face challenges in effectively addressing a […]


Continue.. CharacterChat: Learning towards Conversational AI with Personalized Social Support

Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Yechen Zhang, Jian Sun, Gang Wang, Zhuo Li, Wei Chen | Summary: Discrete reinforcement learning (RL) algorithms have demonstrated exceptional performance in solving sequential decision tasks with discrete action spaces, such as Atari games. However, their effectiveness is hindered when applied to continuous control problems due to […]


Continue.. Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL

Alignment of spatial transcriptomics data using diffeomorphic metric mapping

Posted by klaurent Hopkins

Kavli Affiliate: Justus M Kebschull, Michael Miller, Jean Fan | Authors: Kalen Clifton, Manjari Anant, Gohta Aihara, Lyla Atta, Osagie K Aimiuwu, Justus M Kebschull, Michael I Miller, Daniel Tward and Jean Fan | Summary: Spatial transcriptomics (ST) technologies enable high throughput gene expression characterization within thin tissue sections. However, comparing spatial observations across sections, […]


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Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study

Posted by klaurent UCSD / Salk

Kavli Affiliate: Anders Dale | Authors: Elleke Tissink, Alexey A Shadrin, Dennis van der Meer, Nadine Parker, Guy Hindley, Daniel Roelfs, Oleksandr Frei, Chun Chieh Fan, Mats Nagel, Terje Naerland, Magdalena Budisteanu, Srdjan Djurovic, Lars T. Westlye, Martijn van den Heuvel, Danielle Posthuma, Tobias Kaufmann, Anders M. Dale and Ole Andreassen | Summary: Genetic pleiotropy […]


Continue.. Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study