Publications

Papers presented at conferences and journals in Japan and worldwide, authored by PFN researchers, interns, and part-time engineer students, including results of joint research.

5th Deep Generative Models Workshop @ MICCAI 2025

Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models

By : Xinkai Zhao, Yuta Tokuoka, Junichiro Iwasawa, Keita Oda

CVPR2025

HiMoR: Monocular Deformable Gaussian Reconstruction with Hierarchical Motion Representation #3

Computer Vision

By : Yiming Liang, Tianhan Xu, Yuta Kikuchi

Current Opinion in Solid State and Materials Science

A practical guide to machine learning interatomic potentials – Status and future

Chemoinformatics / Materials Science

By : Ryan Jacobs, Dane Morgan, Siamak Attarian, Jun Meng, Chen Shen, Zhenghao Wu, Clare Yijia Xie, Julia H. Yang, Nongnuch Artrith, Ben Blaiszik, Gerbrand Ceder, Kamal Choudhary, Gabor Csanyi, Ekin Dogus Cubuk, Bowen Deng, Ralf Drautz, Xiang Fu, Jonathan Godwin, Vasant Honavar, Olexandr Isayev, Anders Johansson, Boris Kozinsky, Stefano Martiniani, Shyue Ping Ong, Igor Poltavsky, KJ Schmidt, So Takamoto, Aidan P. Thompson, Julia Westermayr, Brandon M. Wood

NeurIPS2024 AIM-FM workshop

Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs

Bioinformatics / Healthcare

By : Yuto Shibata, Yasunori Kudo, Yohei Sugawara

npj Computational Materials

Dielectric tensor prediction for inorganic materials using latent information from preferred potential

Chemoinformatics / Materials Science

By : Zetian Mao, Wenwen Li, Jethro Tan

PLoS ONE 19

GenerRNA: A generative pre-trained language model for de novo RNA design