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469 | -- | 472 | Takahiro Yabe, Massimiliano Luca, Kota Tsubouchi, Bruno Lepri, Marta C. González, Esteban Moro. Enhancing human mobility research with open and standardized datasets |
473 | -- | 474 | Jiancheng Yang. Multi-task learning for medical foundation models |
475 | -- | 476 | Miaozhe Huo, Yuepeng Jiang, Shuai Cheng Li 0001. Unlocking T-cell receptor-epitope insights with structural analysis |
477 | -- | 478 | Juan Manuel Restrepo-Flórez. Free-form metamaterials design with isotropic materials |
479 | -- | 480 | . A multi-task learning strategy to pretrain models for medical image analysis |
481 | -- | 482 | . Boosting graph neural networks with virtual nodes to predict phonon properties |
483 | -- | 494 | Steven L. Brunton, J. Nathan Kutz. Promising directions of machine learning for partial differential equations |
495 | -- | 509 | Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz 0002, Fabian Kiessling. Overcoming data scarcity in biomedical imaging with a foundational multi-task model |
510 | -- | 521 | Vadim K. Karnaukhov, Dmitrii S. Shcherbinin, Anton O. Chugunov, Dmitriy M. Chudakov, Roman G. Efremov, Ivan V. Zvyagin, Mikhail Shugay. Structure-based prediction of T cell receptor recognition of unseen epitopes using TCRen |
522 | -- | 531 | Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird, Nina Andrejevic, Xiang Fu 0005, Tommi S. Jaakkola, Qichen Song, Thanh Nguyen, Nathan C. Drucker, Sai Mu, Yao Wang, Bolin Liao, Yongqiang Cheng 0006, Mingda Li. Virtual node graph neural network for full phonon prediction |
532 | -- | 541 | Liujun Xu, Gaole Dai, Fubao Yang, Jinrong Liu, Yuhong Zhou, Jun Wang, Guoqiang Xu, Jiping Huang, Cheng-Wei Qiu. Free-form and multi-physical metamaterials with forward conformality-assisted tracing |