Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang, | Summary: Contrastive representation learning is crucial in medical time series analysis as it alleviates dependency on labor-intensive, domain-specific, and scarce expert annotations. However, existing contrastive learning methods primarily focus on one single data level, which fails to fully […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang, | Summary: Contrastive representation learning is crucial in medical time series analysis as it alleviates dependency on labor-intensive, domain-specific, and scarce expert annotations. However, existing contrastive learning methods primarily focus on one single data level, which fails to fully […]
Kavli Affiliate: Felix Fischer | First 5 Authors: Javier Cembrano, Felix Fischer, Max Klimm, , | Summary: We study functions that produce a ranking of $n$ individuals from $n$ such rankings and are impartial in the sense that the position of an individual in the output ranking does not depend on the input ranking submitted […]
Kavli Affiliate: Felix Fischer | First 5 Authors: Javier Cembrano, Felix Fischer, Max Klimm, , | Summary: We study functions that produce a ranking of $n$ individuals from $n$ such rankings and are impartial in the sense that the position of an individual in the output ranking does not depend on the input ranking submitted […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Senyu Li, Zijun Wu, Ning Shi, | Summary: Recent advancements in multimodal techniques open exciting possibilities for models excelling in diverse tasks involving text, audio, and image processing. Models like GPT-4V, blending computer vision and language modeling, excel in complex text and image tasks. Numerous […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Changhao Wang, Lingfeng Sun, Zheng Wu, Xinghao Zhu | Summary: Learning contact-rich manipulation skills is essential. Such skills require the robots to interact with the environment with feasible manipulation trajectories and suitable compliance control parameters to enable safe and stable contact. However, learning these skills […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang | Summary: Spectral Graph Neural Networks (GNNs) are gaining attention for their ability to surpass the limitations of message-passing GNNs. They rely on supervision from downstream tasks to learn spectral filters that capture the graph signal’s useful […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Huili Cai, Xiang Zhang, Xiaofeng Liu, , | Summary: Time series classification is a critical task in various domains, such as finance, healthcare, and sensor data analysis. Unsupervised contrastive learning has garnered significant interest in learning effective representations from time series data with limited labels. The prevalent […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yoseob Yoon, Zheyu Lu, Can Uzundal, Ruishi Qi, Wenyu Zhao | Summary: Phononic engineering at GHz frequencies form the foundation of microwave acoustic filters, high-speed acousto-optic modulators, and quantum transducers. THz phononic engineering could lead to acoustic filters and modulators at higher bandwidth and speed, as well […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yoseob Yoon, Zheyu Lu, Can Uzundal, Ruishi Qi, Wenyu Zhao | Summary: Phononic engineering at gigahertz (GHz) frequencies form the foundation of microwave acoustic filters, acousto-optic modulators, and quantum transducers. Terahertz (THz) phononic engineering could lead to acoustic filters and modulators at higher bandwidth and speed, as […]