Kavli Affiliate: Lars Bildsten | First 5 Authors: Christopher E. O’Connor, Lars Bildsten, Matteo Cantiello, Dong Lai, | Summary: About ten percent of Sun-like ($1$-$2 M_odot$) stars will engulf a $1$-$10 M_{rm J}$ planet as they expand during the red giant branch (RGB) or asymptotic giant branch (AGB) phase of their evolution. Once engulfed, these […]
Kavli Affiliate: Biao Huang | First 5 Authors: Xiuli Zhu, Seshu Kumar Damarla, Biao Huang, , | Summary: Minimum miscibility pressure (MMP) prediction plays an important role in design and operation of nitrogen based enhanced oil recovery processes. In this work, a comparative study of statistical and machine learning methods used for MMP estimation is […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Paul M. Bellan | Summary: The two-stream instability (Buneman instability) is traditionally derived as a collisionless instability with the presumption that collisions inhibit this instability. We show here via a combination of a collisional two-fluid model and associated experimental observations made in the Caltech plasma […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang | Summary: Federated learning (FL) is a popular way of edge computing that doesn’t compromise users’ privacy. Current FL paradigms assume that data only resides on the edge, while cloud servers only perform model averaging. However, in […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yunpeng Zhang, Zheng Zhu, Dalong Du | Summary: The vision-based perception for autonomous driving has undergone a transformation from the bird-eye-view (BEV) representations to the 3D semantic occupancy. Compared with the BEV planes, the 3D semantic occupancy further provides structural information along the vertical direction. This paper […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou | Summary: Failure to recognize samples from the classes unseen during training is a major limitation of artificial intelligence in the real-world implementation for recognition and classification of retinal anomalies. We established an uncertainty-inspired open-set (UIOS) model, […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou | Summary: Failure to recognize samples from the classes unseen during training is a major limitation of artificial intelligence in the real-world implementation for recognition and classification of retinal anomalies. We established an uncertainty-inspired open-set (UIOS) model, […]
Kavli Affiliate: Matthew Fisher | First 5 Authors: Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva | Summary: This report surveys advances in deep learning-based modeling techniques that address four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We describe different kinds of representations for […]
Kavli Affiliate: Matthew Fisher | First 5 Authors: Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva | Summary: This report surveys advances in deep learning-based modeling techniques that address four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We describe different kinds of representations for […]
Kavli Affiliate: Matthew Fisher | First 5 Authors: Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva | Summary: This report surveys advances in deep learning-based modeling techniques that address four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We describe different kinds of representations for […]