May 6, 2024, 4:42 a.m. | Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Hyunseung Kim, Chanhui Lee, Soorin Yim, Sehui Han

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.01974v1 Announce Type: new
Abstract: Molecular datasets often suffer from a lack of data. It is well-known that gathering data is difficult due to the complexity of experimentation or simulation involved. Here, we leverage mutual information across different tasks in molecular data to address this issue. We extend an algorithm that utilizes the geometric characteristics of the encoding space, known as the Geometrically Aligned Transfer Encoder (GATE), to a multi-task setup. Thus, we connect multiple molecular tasks by aligning the …

abstract algorithm arxiv complexity cs.ai cs.lg data datasets encoder experimentation extension information issue q-bio.qm simulation tasks transfer type

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