Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization

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 […]


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Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives

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 […]


Continue.. Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives

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 […]


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TAIL: A Terrain-Aware Multi-Modal SLAM Dataset for Robot Locomotion in Deformable Granular Environments

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 […]


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Self-duel solution of 3D incompressible Navier-Stokes equations

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 […]


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Self-dual solution of 3D incompressible Navier-Stokes equations

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 […]


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Local operator quench induced by two-dimensional inhomogeneous and homogeneous CFT Hamiltonians

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 […]


Continue.. Local operator quench induced by two-dimensional inhomogeneous and homogeneous CFT Hamiltonians

Local operator quench induced by two-dimensional inhomogeneous and homogeneous CFT Hamiltonians

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 […]


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Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings

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 […]


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Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning

Kavli Affiliate: Cheng Peng | First 5 Authors: Mengxian Lyu, Cheng Peng, Xiaohan Li, Patrick Balian, Jiang Bian | Summary: Automatic text summarization (ATS) is an emerging technology to assist clinicians in providing continuous and coordinated care. This study presents an approach to summarize doctor-patient dialogues using generative large language models (LLMs). We developed prompt-tuning […]


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