GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder Alignment

Kavli Affiliate: Jing Wang | First 5 Authors: Wenji Fang, Wenji Fang, , , | Summary: The success of foundation AI has motivated the research of circuit foundation models, which are customized to assist the integrated circuit (IC) design process. However, existing pre-trained circuit foundation models are typically limited to standalone encoders for predictive tasks […]


Continue.. GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder Alignment

The X-ray statistical properties of dust-obscured galaxies detected by eROSITA

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Akatoki Noboriguchi, Kohei Ichikawa, Yoshiki Toba, Tom Dwelly, Kohei Inayoshi | Summary: Dust-obscured galaxies (DOGs) are considered to be in a co-evolution phase, with the associated active galactic nuclei (AGN) obscured by dust and gas. Although the DOGs are thought to harbor rapidly growing SMBHs, their X-ray […]


Continue.. The X-ray statistical properties of dust-obscured galaxies detected by eROSITA

A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English

Kavli Affiliate: Xian Chen | First 5 Authors: Julian Bäumler, Louis Blöcher, Lars-Joel Frey, Xian Chen, Markus Bayer | Summary: The dissemination of online hate speech can have serious negative consequences for individuals, online communities, and entire societies. This and the large volume of hateful online content prompted both practitioners’, i.e., in content moderation or […]


Continue.. A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English

Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Kavli Affiliate: Xian Chen | First 5 Authors: Xian Chen, Rong Qu, Jing Dong, Ruibin Bai, Yaochu Jin | Summary: Dynamic scheduling in real-world environments often struggles to adapt to unforeseen disruptions, making traditional static scheduling methods and human-designed heuristics inadequate. This paper introduces an innovative approach that combines Genetic Programming (GP) with a Transformer […]


Continue.. Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Kavli Affiliate: Xian Chen | First 5 Authors: Xian Chen, Rong Qu, Jing Dong, Ruibin Bai, Yaochu Jin | Summary: Dynamic scheduling in real-world environments often struggles to adapt to unforeseen disruptions, making traditional static scheduling methods and human-designed heuristics inadequate. This paper introduces an innovative approach that combines Genetic Programming (GP) with a Transformer […]


Continue.. Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Discovery of extreme Quasi-Periodic Eruptions in a newly accreting massive black hole

Kavli Affiliate: Claudio Ricci | First 5 Authors: Lorena Hernández-García, Joheen Chakraborty, Paula Sánchez-Sáez, Claudio Ricci, Jorge Cuadra | Summary: Quasi-periodic eruptions (QPEs) are rapid, recurring X-ray bursts from supermassive black holes, believed to result from interactions between accretion disks and surrounding matter. The galaxy SDSS1335+0728, previously stable for two decades, exhibited an increase in […]


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MACER3D — an upgrade of MACER2D with enhanced subgrid models and gas physics — and its application to simulating AGN feedback in a massive elliptical galaxy

Kavli Affiliate: Feng Yuan | First 5 Authors: Haoen Zhang, Haojie Xia, Suoqing Ji, Feng Yuan, Minhang Guo | Summary: We present MACER3D (Multiscale AGN-regulated Cosmic Ecosystem Resolver in 3D), a new suite of three-dimensional hydrodynamic simulations that study active galactic nuclei (AGN) feedback on galactic scales over Gyr duration, with major enhancement in subgrid […]


Continue.. MACER3D — an upgrade of MACER2D with enhanced subgrid models and gas physics — and its application to simulating AGN feedback in a massive elliptical galaxy

High-efficiency broadband active metasurfaces via reversible metal electrodeposition

Kavli Affiliate: Xuebing Wu | Summary:Realizing active metasurfaces with substantial tunability is important for many applications but remains challenging due to difficulties in dynamically tuning light-matter interactions at subwavelength scales. Here, we introduce reversible metal electrodeposition as a versatile approach for enabling active metasurfaces with exceptional tunability across a broad bandwidth. As a proof of […]


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The UV Legacy Library of Young Stars as Essential Standards (ULLYSES) Large Director’s Discretionary Program with Hubble. I. Goals, Design, and Initial Results

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Julia Roman-Duval, William J. Fischer, Alexander W. Fullerton, Jo Taylor, Rachel Plesha | Summary: Specifically selected to leverage the unique ultraviolet capabilities of the Hubble Space Telescope, the Hubble Ultraviolet Legacy Library of Young Stars as Essential Standards (ULLYSES) is a Director’s Discretionary program of approximately […]


Continue.. The UV Legacy Library of Young Stars as Essential Standards (ULLYSES) Large Director’s Discretionary Program with Hubble. I. Goals, Design, and Initial Results