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MatterGen: a generative model for inorganic materials design., , , , , , , , , and 2 other author(s). CoRR, (2023)Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data., , , and . NeurIPS, (2022)Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability., , , and . NeurIPS, (2022)Learning outside the Black-Box: The pursuit of interpretable models., , , and . NeurIPS, (2020)DAGnosis: Localized Identification of Data Inconsistencies using Structures., , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1864-1872. PMLR, (2024)Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance., and . CoRR, (2023)DAUX: a Density-based Approach for Uncertainty eXplanations., , , , and . CoRR, (2022)TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization., , , , and . ICLR, OpenReview.net, (2023)Time Series Diffusion in the Frequency Domain., , , and . CoRR, (2024)Joint Training of Deep Ensembles Fails Due to Learner Collusion., , , and . CoRR, (2023)