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Improved limits on the 21cm signal at z=6.5-7.0 with the MWA using Gaussian information
Cathryn M. Trott, C. D. Nunhokee, D. Null, N. Barry, Y. Qin, R. B. Wayth, J. L. B. Line, C. H. Jordan, B. Pindor, J. H. Cook, J. Bowman, A. Chokshi, J. Ducharme, K. Elder, Q. Guo, B. J. Hazelton, W. Hidayat, T. Ito, D. Jacobs, E. Jong, M. Kolopanis, T. Kunicki, E. Lilleskov, M. F. Morales, J. Pober, A. Selvaraj, R. Shi, K. Takahashi, S. J. Tingay, R. L. Webster, S. Yoshiura, Q. Zheng

Improved limits on the 21cm signal at z=6.5-7.0 with the MWA using Gaussian information
We explore the properties of interferometric data from high-redshift 21~cm measurements using the Murchison Widefield Array. These data contain redshifted 21~cm signal, contamination from continuum foreground sources, and radiometric noise. The 21~cm signal from the Epoch of Reionization is expected to be highly-Gaussian, which motivates the use of the power spectrum as an effective statistical tool for extracting astrophysical information. We find that foreground contamination introduces non-G…

A Dynamic Allocation Scheme for Adaptive Shared-Memory Mapping on Kilo-core RV Clusters for Attention-Based Model Deployment
Bowen Wang, Marco Bertuletti, Yichao Zhang, Victor J. B. Jung, Luca Benini
https://arxiv.org/abs/2508.01180

A Dynamic Allocation Scheme for Adaptive Shared-Memory Mapping on Kilo-core RV Clusters for Attention-Based Model Deployment
Attention-based models demand flexible hardware to manage diverse kernels with varying arithmetic intensities and memory access patterns. Large clusters with shared L1 memory, a common architectural pattern, struggle to fully utilize their processing elements (PEs) when scaled up due to reduced throughput in the hierarchical PE-to-L1 intra-cluster interconnect. This paper presents Dynamic Allocation Scheme (DAS), a runtime programmable address remapping hardware unit coupled with a unified memo…

Semantic Zoom and Mini-Maps for Software Cities
Malte Hansen, Jens Bamberg, Noe Baumann, Wilhelm Hasselbring
https://arxiv.org/abs/2510.00003 https://arxiv…

Semantic Zoom and Mini-Maps for Software Cities
Software visualization tools can facilitate program comprehension by providing visual metaphors, or abstractions that reduce the amount of textual data that needs to be processed mentally. One way they do this is by enabling developers to build an internal representation of the visualized software and its architecture. However, as the amount of displayed data in the visualization increases, the visualization itself can become more difficult to comprehend. The ability to display small and large …

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
Keming Wu, Sicong Jiang, Max Ku, Ping Nie, Minghao Liu, Wenhu Chen
https://arxiv.org/abs/2509.26346

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
Recently, we have witnessed great progress in image editing with natural language instructions. Several closed-source models like GPT-Image-1, Seedream, and Google-Nano-Banana have shown highly promising progress. However, the open-source models are still lagging. The main bottleneck is the lack of a reliable reward model to scale up high-quality synthetic training data. To address this critical bottleneck, we built \mname, trained with our new large-scale human preference dataset, meticulously…

darf ich vorstellen: Maren Nissen. Ein früher Apfel, leider nicht sehr groß, mit einem wunderbaren Marzipan-Aroma.

IFEvalCode: Controlled Code Generation
Jian Yang, Wei Zhang, Shukai Liu, Linzheng Chai, Yingshui Tan, Jiaheng Liu, Ge Zhang, Wangchunshu Zhou, Guanglin Niu, Zhoujun Li, Binyuan Hui, Junyang Lin
https://arxiv.org/abs/2507.22462

IFEvalCode: Controlled Code Generation
Code large language models (Code LLMs) have made significant progress in code generation by translating natural language descriptions into functional code; however, real-world applications often demand stricter adherence to detailed requirements such as coding style, line count, and structural constraints, beyond mere correctness. To address this, the paper introduces forward and backward constraints generation to improve the instruction-following capabilities of Code LLMs in controlled code ge…

Replaced article(s) found for math.OC. https://arxiv.org/list/math.OC/new
[1/1]:
- Robust Nonlinear Optimal Control via System Level Synthesis
Antoine P. Leeman, Johannes K\"ohler, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger

High-order wavefront sensing and control for the Roman Coronagraph Instrument (CGI): architecture and measured performance
Eric Cady, Nicholas Bowman, Alexandra Z. Greenbaum, James G. Ingalls, Brian Kern, John Krist, David Marx, Ilya Poberezhskiy, A J Eldorado Riggs, Garreth Ruane, Byoung-Joon Seo, Fang Shi, Hanying Zhou
https://arxiv.org/…

High-order wavefront sensing and control for the Roman Coronagraph Instrument (CGI): architecture and measured performance
The Nancy Grace Roman Space Telescope (``Roman'') is a 2.4m space telescope scheduled for a 2026 launch. The Coronagraph Instrument (CGI) on Roman is a technology-demonstration instrument with a coronagraph and, for the first time in space, deformable mirrors and active wavefront control. This paper walks through the algorithmic and system-level architecture of the HOWFSC implementation for CGI, including the use of ground-in-the-loop (GITL) operations to support computationally-expensive opera…

GPU-Accelerated Monte Carlo Simulation and Experimental Study of Radiative Transfer in Multiple Scattering Media
Binhan Wang, Peng Sun, Gao Wang, Haijian Liang, Jinge Guan, Xiaohang Dong, Xiuhao Du, Ruichen Liu
https://arxiv.org/abs/2507.23189

GPU-Accelerated Monte Carlo Simulation and Experimental Study of Radiative Transfer in Multiple Scattering Media
Addressing the problem of photon multiple scattering interference caused by turbid media in optical measurements, biomedical imaging, environmental monitoring and other fields, existing Monte Carlo light scattering simulations widely adopt the Henyey-Greenstein (H-G) phase function approximation model. However, traditional computational resource limitations and high numerical complexity have constrained the application of precise scattering models. Moreover, the single-parameter anisotropy fact…