Re-Densification Meets Cross-Scale Propagation: Real-Time Neural Compression of LiDAR Point Clouds

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Pengpeng Yu, Pengpeng Yu, , , | Summary: LiDAR point clouds are fundamental to various applications, yet high-precision scans incur substantial storage and transmission overhead. Existing methods typically convert unordered points into hierarchical octree or voxel structures for dense-to-sparse predictive coding. However, the extreme sparsity of geometric […]


Continue.. Re-Densification Meets Cross-Scale Propagation: Real-Time Neural Compression of LiDAR Point Clouds

The first detection of cosmic-ray excited H$_2$ in interstellar space

Posted by klaurent Stanford

Kavli Affiliate: Troy A. Porter | First 5 Authors: Shmuel Bialy, Shmuel Bialy, , , | Summary: Stars and planets form within cold, dark molecular clouds. In these dense regions, where starlight cannot penetrate, cosmic rays (CRs) are the dominant source of ionization — driving interstellar chemistry(Dalgarno (2006, PNAS, 103, 12269)), setting the gas temperature(Goldsmith […]


Continue.. The first detection of cosmic-ray excited H$_2$ in interstellar space

Prospects for EMRI/MBH parameter estimation using Quasi-Periodic Eruption timings: short-timescale analysis

Posted by klaurent MIT

Kavli Affiliate: Erin Kara | First 5 Authors: Joheen Chakraborty, Joheen Chakraborty, , , | Summary: Quasi-Periodic Eruptions (QPEs) are luminous, recurring X-ray outbursts from galactic nuclei, with timescales of hours to days. While their origin remains uncertain, leading models invoke accretion disk instabilities or the interaction of a massive black hole (MBH) with a […]


Continue.. Prospects for EMRI/MBH parameter estimation using Quasi-Periodic Eruption timings: short-timescale analysis

Multi-channel, multi-template event reconstruction for SuperCDMS data using machine learning

Posted by klaurent Stanford

Kavli Affiliate: D. B. Macfarlane | First 5 Authors: M. F. Albakry, M. F. Albakry, , , | Summary: SuperCDMS SNOLAB uses kilogram-scale germanium and silicon detectors to search for dark matter. Each detector has Transition Edge Sensors (TESs) patterned on the top and bottom faces of a large crystal substrate, with the TESs electrically […]


Continue.. Multi-channel, multi-template event reconstruction for SuperCDMS data using machine learning

Experimental validation of photonic lantern imaging and wavefront sensing performance

Posted by klaurent Stanford

Kavli Affiliate: Bruce Macintosh | First 5 Authors: Aditya R. Sengupta, Aditya R. Sengupta, , , | Summary: Photonic lanterns (PLs) are fiber-based waveguides that are capable of focal-plane wavefront sensing while simultaneously directing light to downstream science instruments. The optimal choice of wavefront reconstruction algorithm has yet to be determined, and likely depends on […]


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Joint Analysis of HI Absorption Zeeman Measurements and the Morphology of Filamentary HI Emission

Posted by klaurent Stanford

Kavli Affiliate: Susan E. Clark | First 5 Authors: Marta Nowotka, Marta Nowotka, , , | Summary: We present a joint analysis of HI absorption Zeeman measurements and the morphology of filamentary HI emission to investigate the three-dimensional structure of the magnetic field in the diffuse neutral interstellar medium (ISM). Our analysis is based on […]


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The Dolbeault geometric Langlands conjecture via limit categories

Posted by klaurent Tokyo

Kavli Affiliate: Yukinobu Toda | First 5 Authors: Tudor Pădurariu, Tudor Pădurariu, , , | Summary: We introduce limit categories for cotangent stacks of smooth stacks as an effective version of classical limits of categories of D-modules on them. We develop their general theory and pursue their relation with categories of D-modules. In particular, we […]


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Alignment with Fill-In-the-Middle for Enhancing Code Generation

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Houxing Ren, Houxing Ren, , , | Summary: The code generation capabilities of Large Language Models (LLMs) have advanced applications like tool invocation and problem-solving. However, improving performance in code-related tasks remains challenging due to limited training data that is verifiable with accurate test cases. While Direct […]


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GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging

Posted by klaurent Peking

Kavli Affiliate: Li Xin Li | First 5 Authors: Ziyi Ni, Ziyi Ni, , , | Summary: Beyond scratch coding, exploiting large-scale code repositories (e.g., GitHub) for practical tasks is vital in real-world software development, yet current benchmarks rarely evaluate code agents in such authentic, workflow-driven scenarios. To bridge this gap, we introduce GitTaskBench, a […]


Continue.. GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging

GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging

Posted by klaurent Peking

Kavli Affiliate: Li Xin Li | First 5 Authors: Ziyi Ni, Ziyi Ni, , , | Summary: Beyond scratch coding, exploiting large-scale code repositories (e.g., GitHub) for practical tasks is vital in real-world software development, yet current benchmarks rarely evaluate code agents in such authentic, workflow-driven scenarios. To bridge this gap, we introduce GitTaskBench, a […]


Continue.. GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging