CUDA offloading for energy-efficient and high-frame-rate simulations using tablets. - Edgar Josafat Martinez-Noriega; Syunji Yazaki; Tetsu Narumi (Concurr. Comput. Pract. Exp., 2021)

Replacing Labeled Real-image Datasets with Auto-generated Contours. - Hirokatsu Kataoka; Ryo Hayamizu; Ryosuke Yamada; Kodai Nakashima; Sora Takashima; Xinyu Zhang; Edgar Josafat Martinez-Noriega; Nakamasa Inoue; Rio Yokota (CVPR, 2022)

Towards real-time formula driven dataset feed for large scale deep learning training. - Edgar Josafat Martinez-Noriega; Rio Yokota (High Performance Computing for Imaging, 2023)

Pre-training Vision Transformers with Very Limited Synthesized Images. - Ryo Nakamura; Hirokatsu Kataoka; Sora Takashima; Edgar Josafat Martinez-Noriega; Rio Yokota; Nakamasa Inoue (ICCV, 2023)

KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. - Truong Thao Nguyen; Balazs Gerofi; Edgar Josafat Martinez-Noriega; François Trahay; Mohamed Wahib (NeurIPS, 2023)