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Training independent subnetworks for robust prediction., , , , , , , and . CoRR, (2020)Sampling the Variational Posterior with Local Refinement., , , , and . Entropy, 23 (11): 1475 (2021)Addressing Leakage in Concept Bottleneck Models., , and . NeurIPS, (2022)Training independent subnetworks for robust prediction., , , , , , , and . ICLR, OpenReview.net, (2021)Does the explanation satisfy your needs?: A unified view of properties of explanations., , , , and . CoRR, (2022)Determining Optimal Coherency Interface for Many-Accelerator SoCs Using Bayesian Optimization., , , , , and . IEEE Comput. Archit. Lett., 18 (2): 119-123 (2019)Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters., , and . ICLR (Poster), OpenReview.net, (2019)A comprehensive methodology to determine optimal coherence interfaces for many-accelerator SoCs., , , , , and . ISLPED, page 145-150. ACM, (2020)Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo., , and . NeurIPS, page 7517-7527. (2018)Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters., , and . CoRR, (2018)