OptPDE: Discovering Novel Integrable Systems via AI-Human Collaboration

Kavli Affiliate: Max Tegmark | First 5 Authors: Subhash Kantamneni, Ziming Liu, Max Tegmark, , | Summary: Integrable partial differential equation (PDE) systems are of great interest in natural science, but are exceedingly rare and difficult to discover. To solve this, we introduce OptPDE, a first-of-its-kind machine learning approach that Optimizes PDEs’ coefficients to maximize […]


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Very Long Baseline Array Observations of Parsec-scale Radio Emission in Dual Active Galactic Nuclei

Kavli Affiliate: Luis C. Ho | First 5 Authors: Wancheng Xu, Lang Cui, Xiang Liu, Tao An, Hongmin Cao | Summary: It is believed that dual active galactic nuclei (dual AGN) will form during galaxies merge. Studying dual-AGN emission can provide valuable insights into galaxy merging and evolution. To investigate parsec-scale radio emission properties, we […]


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Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Kavli Affiliate: Misao Sasaki | First 5 Authors: Teppei Okumura, Misao Sasaki, , , | Summary: Gravitational waves (GWs) may be produced by various mechanisms in the early universe. In particular, if parity is violated, it may lead to the production of parity-violating GWs. In this paper, we focus on GWs on the scale of […]


Continue.. Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Kavli Affiliate: Misao Sasaki | First 5 Authors: Teppei Okumura, Misao Sasaki, , , | Summary: Gravitational waves (GWs) may be produced by various mechanisms in the early universe. In particular, if parity is violated, it may lead to the production of parity-violating GWs. In this paper, we focus on GWs on the scale of […]


Continue.. Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Large Scale Overdensity of Lyman Break Galaxies Around the z=6.3 Ultraluminous Quasar J0100+2802

Kavli Affiliate: Linhua Jiang | First 5 Authors: Maria Pudoka, Feige Wang, Xiaohui Fan, Jinyi Yang, Jaclyn Champagne | Summary: We study the environment of the z=6.33 ultraluminous quasar SDSS J010013.02+280225.8 (J0100) to understand its association with large-scale structure. Theoretical models propose high-redshift quasars as markers of galaxy overdensities residing in the most massive dark […]


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Feedback mechanisms stopping the star formation in a pair of massive galaxies in the early Universe

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Pablo G. Pérez-González, Francesco D`Eugenio, Bruno Rodríguez del Pino, Hannah Übler, Roberto Maiolino | Summary: Feedback is the key physical mechanism regulating galaxy formation. Stars in galaxies form when baryons radiatively cool down and fall into gravitational wells. Eventually, star formation quenches as gas is depleted and/or […]


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Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Kavli Affiliate: Jia Liu | First 5 Authors: Tianchen Zhou, FNU Hairi, Haibo Yang, Jia Liu, Tian Tong | Summary: Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically under-explored. This paper tackles the multi-objective reinforcement learning (MORL) problem and introduces an innovative actor-critic algorithm named MOAC […]


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Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu | Summary: Existing works in federated learning (FL) often assume an ideal system with either full client or uniformly distributed client participation. However, in practice, it has been observed that some clients may never participate in FL […]


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Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu | Summary: Existing works in federated learning (FL) often assume an ideal system with either full client or uniformly distributed client participation. However, in practice, it has been observed that some clients may never participate in FL […]


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Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation

Kavli Affiliate: Ran Wang | First 5 Authors: Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang, | Summary: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ability of SNMF. The previous methods introduce the pairwise constraints from the local perspective, i.e., […]


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