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Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/7]:
- Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Langu...
Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe

Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads
Mert Hidayetoglu, Aurick Qiao, Michael Wyatt, Jeff Rasley, Yuxiong He, Samyam Rajbhandari
https://arxiv.org/abs/2509.16495

Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads
Efficient parallelism is necessary for achieving low-latency, high-throughput inference with large language models (LLMs). Tensor parallelism (TP) is the state-of-the-art method for reducing LLM response latency, however GPU communications reduces combined token throughput. On the other hand, data parallelism (DP) obtains a higher throughput yet is slow in response latency. Best of both worlds does not exist, and it is not possible to combine TP and DP because of the KV cache variance across th…

#FridayDisco #AusGründen
https://youtu.be/Uz-htW9DTus?si=iwXIlFCtjCsDAYoz

Clustering-based aggregate value regression
Kei Hirose, Hidetoshi Matsui, Hiroki Masuda
https://arxiv.org/abs/2508.15567 https://arxiv.org/pdf/2508.15567…

Clustering-based aggregate value regression
In various practical situations, forecasting of aggregate values rather than individual ones is often our main focus. For instance, electricity companies are interested in forecasting the total electricity demand in a specific region to ensure reliable grid operation and resource allocation. However, to our knowledge, statistical learning specifically for forecasting aggregate values has not yet been well-established. In particular, the relationship between forecast error and the number of clus…

Replaced article(s) found for nucl-th. https://arxiv.org/list/nucl-th/new
[1/1]:
- Optimal collision-energy range for realizing macroscopic high-baryon-density matter
Hidetoshi Taya, Asanosuke Jinno, Masakiyo Kitazawa, Yasushi Nara

A unified picture of swirl-driven coronal heating: magnetic energy supply and dissipation
Hidetaka Kuniyoshi, Shinsuke Imada, Takaaki Yokoyama
https://arxiv.org/abs/2508.14459 h…

A unified picture of swirl-driven coronal heating: magnetic energy supply and dissipation
The coronal heating problem is one of the most critical challenges in solar physics. Recent observations have revealed that small-scale swirls are ubiquitous in the photosphere and chromosphere, suggesting that they may play a significant role in transferring magnetic energy into the corona. However, the overall contribution of swirls to the total magnetic energy supply and subsequent coronal heating remains uncertain. To address this, we perform statistical analyses of simulated swirls using a…

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
NoSo:
🎵 Sugar
#NoSo
https://noso.bandcamp.com/track/sugar
https://open.spotify.com/track/60HY8TH6tjKd64nwK6H73j

eye2vec: Learning Distributed Representations of Eye Movement for Program Comprehension Analysis
Haruhiko Yoshioka, Kazumasa Shimari, Hidetake Uwano, Kenichi Matsumoto
https://arxiv.org/abs/2510.11722 …

eye2vec: Learning Distributed Representations of Eye Movement for Program Comprehension Analysis
This paper presents eye2vec, an infrastructure for analyzing software developers' eye movements while reading source code. In common eye-tracking studies in program comprehension, researchers must preselect analysis targets such as control flow or syntactic elements, and then develop analysis methods to extract appropriate metrics from the fixation for source code. Here, researchers can define various levels of AOIs like words, lines, or code blocks, and the difference leads to different result…

Photonic decision making using optical frequency difference detection in mutually-coupled semiconductor lasers
Hidetoshi Taira, Takatomo Mihana, Shun Kotoku, Andr\'e R\"ohm, Kazutaka Kanno, Atsushi Uchida, Ryoichi Horisaki
https://arxiv.org/abs/2509.12891

Photonic decision making using optical frequency difference detection in mutually-coupled semiconductor lasers
As electronic computing approaches its performance limits, photonic accelerators have emerged as promising alternatives. Photonic accelerators exploiting semiconductor-laser synchronization have been studied for decision-making. While conventional cross-correlation methods are computationally intensive and memory demanding, we propose a frequency-based approach using optical frequency differences. Simulations and experiments confirm that this method achieves decision making with reduced cost an…

Chandra Large Project Observations of the Supernova Remnant N132D: Measuring the Expansion of the Forward Shock
Xi Long, Paul P. Plucinsky, Terrance J. Gaetz, Vinay L. Kashyap, Aya Bamba, William P. Blair, Daniel Castro, Adam R. Foster, Charles J. Law, Dan Milisavljevic, Eric Miller, Daniel J. Patnaude, Manami Sasaki, Hidetoshi Sano, Piyush Sharda, Benjamin F. Williams, Brian J. Williams, Hiroya Yamaguchi

Chandra Large Project Observations of the Supernova Remnant N132D: Measuring the Expansion of the Forward Shock
We present results from the Chandra X-ray Observatory Large Project (878 ks in 28 observations) of the Large Magellanic Cloud supernova remnant N132D. We measure the expansion of the forward shock in the bright southern rim to be $0.\!^{\prime\prime}10 \pm 0.\!^{\prime\prime}02$ over the $\sim14.5$ yr baseline, which corresponds to a velocity of $1620\pm400~\mathrm{km\,s^{-1}}$ after accounting for several instrumental effects. We measure an expansion of $0.\!^{\prime\prime}23 \pm 0.\!^{\prime\…