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Benchmarking deep learning models and classical de novo sequencing tools for immunopeptidomics., , , и . BCB, стр. 61:1. ACM, (2023)Rectified Factor Networks., , , , и . CoRR, (2015)Rectified Factor Networks., , , и . NIPS, стр. 1855-1863. (2015)Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning., , и . NeurIPS, стр. 9559-9573. (2021)Parameterized Hypercomplex Graph Neural Networks for Graph Classification., , , и . ICANN (3), том 12893 из Lecture Notes in Computer Science, стр. 204-216. Springer, (2021)Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation., , , , и . ICLR, OpenReview.net, (2024)Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 4203-4213. PMLR, (2021)PILOT: Equivariant diffusion for pocket conditioned de novo ligand generation with multi-objective guidance via importance sampling., , , , и . CoRR, (2024)Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)., , и . ICLR (Poster), (2016)From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology., , , , , , и . CoRR, (2023)