activity
20002025
most citedEnhanced production of direct photons in Au+Au collisions at sqrt(s_NN)=200 GeV and implications for the initial temperature

401 citations · 3k across the 28 of their papers we have counts for

collaborators

28 papers

nucl-ex2025

Velocity dependence of the mass modifications of and mesons in 12 GeV reactions

Wataru Nakai, Kazuya Aoki, Junsei Chiba +26

This study measured the invariant mass spectra of and mesons in the decay channel for 12 GeV (12.9 GeV/) and reactions ($\sqrt{s}…

cs.LG2025

Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models

Istabrak Abbes, Gopeshh Subbaraj, Matthew Riemer +6

Training large language models (LLMs) typically involves pre-training on massive corpora, only to restart the process entirely when new data becomes available. A more efficient and…

nucl-ex2025★ 6 cited

Analysis of spectral modification of mesons at finite density using a transport approach in the 12 GeV pA reactions

PS E325 Collaboration, Masaya Ichikawa, Philipp Gubler +26

The hadron spectrum at finite density is an important observable for exploring the origin of hadron masses. In the KEK-PS E325 experiment, the di-electron decays of phi mesons insi…

cs.LG2024

Direct Quantized Training of Language Models with Stochastic Rounding

Kaiyan Zhao, Tsuguchika Tabaru, Kenichi Kobayashi +3

Although recent quantized Large Language Models (LLMs), such as BitNet, have paved the way for significant reduction in memory usage during deployment with binary or ternary weight…

cs.LG2021★ 3 cited

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems

Steven Farrell, Murali Emani, Jacob Balma +40

Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing syste…

physics.flu-dyn2021

Accuracy Improvement Technique of DNN for Accelerating CFD Simulator

Yukito Tsunoda, Toshihiko Mori, Hisanao Akima +3

There is a Computational fluid dynamics (CFD) method of incorporating the DNN inference to reduce the computational cost. The reduction is realized by replacing some calculations b…