論文・学会発表

PFN所属研究者、インターン生やパートタイム・エンジニア学生が著者に含まれる国内外会議・ジャーナル発表論文を掲載しています。共同研究による成果も含みます。

NeurIPS2025 AI4Mat

Efficient Universal Potential Distillation with Pre-trained Students in LightPFP

材料科学／計算化学

By : Wenwen Li, Nontawat Charoenphakdee, Yong-Bin Zhuang, Yuta Tsuboi, Ryuhei Okuno, So Takamoto

NeurIPS2025 ML4PS

P-DRUM: Post-hoc Descriptor-based Residual Uncertainty Modeling for Machine Learning Potentials

材料科学／計算化学

By : Shih-Peng Huang, Nontawat Charoenphakdee, Yuta Tsuboi, Yong-Bin Zhuang, Wenwen Li

The Second Workshop on GenAI for Health @ NeurIPS2025

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization

バイオインフォマティクス／ヘルスケア

By : Wataru Kawakami, Keita Suzuki, Junichiro Iwasawa

Lung Cancer

Machine Learning-based Exceptional Response Prediction of Nivolumab Monotherapy with Circulating MicroRNAs in Non-Small Cell Lung Cancer

バイオインフォマティクス／ヘルスケア

By : Yifan Zhang, Yasushi Goto, Shigehiro Yagishita, Yuki Shinno, Kazue Mizuno, Naoaki Watanabe, Yusuke Yamamoto, Nobuyuki Ota, Takahiro Ochiya, Yu Fujita

COLM2025

Efficient Construction of Model Family through Progressive Training Using Model Expansion

By : Kazuki Yano, Sho Takase, Sosuke Kobayashi, Shun Kiyono, Jun Suzuki

COLM2025

Spike No More: Stabilizing the Pre-training of Large Language Models

By : Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki

論文・学会発表

Efficient Universal Potential Distillation with Pre-trained Students in LightPFP

P-DRUM: Post-hoc Descriptor-based Residual Uncertainty Modeling for Machine Learning Potentials

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization

Machine Learning-based Exceptional Response Prediction of Nivolumab Monotherapy with Circulating MicroRNAs in Non-Small Cell Lung Cancer

Efficient Construction of Model Family through Progressive Training Using Model Expansion

Spike No More: Stabilizing the Pre-training of Large Language Models

PFNは新しい仲間を
募集しています

PFNは新しい仲間を
募集しています

未掲載事例、プロダクト・ソリューション、研究開発についてお気軽にお問い合わせください

未掲載事例、プロダクト・ソリューション、研究開発についてお気軽にお問い合わせください

論文・学会発表

Efficient Universal Potential Distillation with Pre-trained Students in LightPFP

P-DRUM: Post-hoc Descriptor-based Residual Uncertainty Modeling for Machine Learning Potentials

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization

Machine Learning-based Exceptional Response Prediction of Nivolumab Monotherapy with Circulating MicroRNAs in Non-Small Cell Lung Cancer

Efficient Construction of Model Family through Progressive Training Using Model Expansion

Spike No More: Stabilizing the Pre-training of Large Language Models

PFNは新しい仲間を募集しています

PFNは新しい仲間を募集しています

PFNは新しい仲間を
募集しています

PFNは新しい仲間を
募集しています