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Model-agnostic variable importance for predictive uncertainty: an entropy-based approach., , , and . CoRR, (2023)ICML 2023 Topological Deep Learning Challenge: Design and Results., , , , , , , , , and 52 other author(s). TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 3-8. PMLR, (2023)Adapting Random Forests to Predict Obesity-Associated Gene Expression., , , , , , and . EMBC, page 4407-4410. IEEE, (2022)Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks., , , , , , , , , and 1 other author(s). CoRR, (2020)Position: Topological Deep Learning is the New Frontier for Relational Learning., , , , , , , , , and 12 other author(s). ICML, OpenReview.net, (2024)Gender Differences in Equity Crowdfunding., and . HCOMP, page 51-60. AAAI Press, (2017)TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning., , , , , , , , , and . CoRR, (2024)TopoX: A Suite of Python Packages for Machine Learning on Topological Domains., , , , , , , , , and 33 other author(s). CoRR, (2024)Hidden Markov models as recurrent neural networks: An application to Alzheimer's disease., , and . BIBE, page 1-6. IEEE, (2021)The premise of approximate MCMC in Bayesian deep learning.. CoRR, (2022)