Kavli Affiliate: Yi Zhou | First 5 Authors: Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou | Summary: Distributionally robust optimization (DRO) is a powerful framework for training robust models against data distribution shifts. This paper focuses on constrained DRO, which has an explicit characterization of the robustness level. Existing studies on constrained […]
Kavli Affiliate: Biao Huang | First 5 Authors: Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang | Summary: This paper provides insights into deep reinforcement learning (DRL) for process control from the perspective of transfer learning. We analyze the challenges of applying DRL in the field of process industries and the necessity of […]
Kavli Affiliate: Biao Huang | First 5 Authors: Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang | Summary: This paper provides insights into deep reinforcement learning (DRL) for process control from the perspective of transfer learning. We analyze the challenges of applying DRL in the field of process industries and the necessity of […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Chen Yao, Yangtao Ge, Guowei Shi, Zirui Wang, Ningbo Yang | Summary: Terrain-aware perception holds the potential to improve the robustness and accuracy of autonomous robot navigation in the wilds, thereby facilitating effective off-road traversals. However, the lack of multi-modal perception across various motion patterns hinders the […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Ning-An Lai, Yi Zhou, , , | Summary: Whether the 3D incompressible Navier-Stokes equations will have a global smooth solution for all smooth, finite energy initial data is a Millennium Prize problem. One of the main difficulties of this problem is that the Navier-Stokes equations are actually […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Ning-An Lai, Yi Zhou, , , | Summary: Whether the 3D incompressible Navier-Stokes equations will have a global smooth solution for all smooth, finite energy initial data is a Millennium Prize problem. One of the main difficulties of this problem is that the Navier-Stokes equations are actually […]
Kavli Affiliate: Masahiro Nozaki | First 5 Authors: Weibo Mao, Masahiro Nozaki, Kotaro Tamaoka, Mao Tian Tan, | Summary: We explore non-equilibrium processes in two-dimensional conformal field theories (2d CFTs) due to the growth of operators induced by inhomogeneous and homogeneous Hamiltonians by investigating the time dependence of the partition function, energy density, and entanglement […]
Kavli Affiliate: Masahiro Nozaki | First 5 Authors: Weibo Mao, Masahiro Nozaki, Kotaro Tamaoka, Mao Tian Tan, | Summary: We explore non-equilibrium processes in two-dimensional conformal field theories (2d CFTs) due to the growth of operators induced by inhomogeneous and homogeneous Hamiltonians by investigating the time dependence of the partition function, energy density, and entanglement […]
Kavli Affiliate: Biao Huang | First 5 Authors: Jiaqi Yue, Chunhui Zhao, Jiancheng Zhao, Biao Huang, | Summary: Generalized zero-shot learning (GZSL) focuses on recognizing seen and unseen classes against domain shift problem where data of unseen classes may be misclassified as seen classes. However, existing GZSL is still limited to seen domains. In the […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Gaifan Zhang, Yi Zhou, Danushka Bollegala, , | Summary: Sentence embeddings produced by Pretrained Language Models (PLMs) have received wide attention from the NLP community due to their superior performance when representing texts in numerous downstream applications. However, the high dimensionality of the sentence embeddings produced by […]