An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiaotian Li, Xiang Zhang, Huiyuan Yang, Wenna Duan, Weiying Dai | Summary: Emotion is an experience associated with a particular pattern of physiological activity along with different physiological, behavioral and cognitive changes. One behavioral change is facial expression, which has been studied extensively over the past few […]


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Current-enabled optical conductivity of superconductors

Posted by klaurent Berkeley

Kavli Affiliate: Joel E. Moore | First 5 Authors: Michał Papaj, Joel E. Moore, , , | Summary: In most superconductors, optical excitations require impurity scattering or the presence of multiple bands. This is because in clean single-band superconductors, the combination of particle-hole and inversion symmetries prevents momentum-conserving transitions. In this work we show how […]


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A quantum-inspired tensor network method for constrained combinatorial optimization problems

Posted by klaurent UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Tianyi Hao, Xuxin Huang, Chunjing Jia, Cheng Peng, | Summary: Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a quantum-inspired tensor-network-based algorithm for general locally […]


Continue.. A quantum-inspired tensor network method for constrained combinatorial optimization problems

A quantum-inspired tensor network method for constrained combinatorial optimization problems

Posted by klaurent UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Tianyi Hao, Xuxin Huang, Chunjing Jia, Cheng Peng, | Summary: Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a quantum inspired algorithm for general locally […]


Continue.. A quantum-inspired tensor network method for constrained combinatorial optimization problems

How to grow a flat leaf

Posted by klaurent Harvard

Kavli Affiliate: L. Mahadevan | First 5 Authors: Salem al-Mosleh, L. Mahadevan, , , | Summary: Growing a flat lamina such as a leaf is almost impossible without some feedback to stabilize long wavelength modes that are easy to trigger since they are energetically cheap. Here we combine the physics of thin elastic plates with […]


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Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Changhao Wang, Yuyou Zhang, Xiang Zhang, Zheng Wu, Xinghao Zhu | Summary: Manipulating deformable linear objects by robots has a wide range of applications, e.g., manufacturing and medical surgery. To complete such tasks, an accurate dynamics model for predicting the deformation is critical for robust control. In […]


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Long-term evolution of supercritical black hole accretion with outflows: a subgrid feedback model for cosmological simulations

Posted by klaurent Peking

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Haojie Hu, Kohei Inayoshi, Zoltán Haiman, Eliot Quataert, Rolf Kuiper | Summary: We study the long-term evolution of the global structure of axisymmetric accretion flows onto a black hole (BH) at rates substantially higher than the Eddington value ($dot{M}_{rm Edd}$), performing two-dimensional hydrodynamical simulations with and without […]


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Simulations of black hole fueling in isolated and merging galaxies with an explicit, multiphase ISM

Posted by klaurent MIT

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Aneesh Sivasankaran, Laura Blecha, Paul Torrey, Luke Zoltan Kelley, Aklant Bhowmick | Summary: We study gas inflows onto supermassive black holes using hydrodynamics simulations of isolated galaxies and idealized galaxy mergers with an explicit, multiphase interstellar medium (ISM). Our simulations use the recently developed ISM and stellar […]


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Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing

Posted by klaurent UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Qingping Zheng, Jiankang Deng, Zheng Zhu, Ying Li, Stefanos Zafeiriou | Summary: This paper probes intrinsic factors behind typical failure cases (e.g. spatial inconsistency and boundary confusion) produced by the existing state-of-the-art method in face parsing. To tackle these problems, we propose a novel Decoupled Multi-task Learning […]


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