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Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 31732-31753. PMLR, (2023)Accurate Uncertainties for Deep Learning Using Calibrated Regression., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2801-2809. PMLR, (2018)QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks., , , , and . ICML, OpenReview.net, (2024)Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs., , , , , and . CoRR, (2023)Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations., , , , and . NeurIPS, page 10287-10298. (2019)Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 11683-11693. PMLR, (2022)Audio Super-Resolution using Neural Networks., , and . ICLR (Workshop), OpenReview.net, (2017)On the Efficiency of Markets with Two-Sided Proportional Allocation Mechanisms., and . SAGT, volume 6386 of Lecture Notes in Computer Science, page 246-261. Springer, (2010)Harnessing Biomedical Literature to Calibrate Clinicians' Trust in AI Decision Support Systems., , , , , , and . CHI, page 14:1-14:14. ACM, (2023)Simple and Effective Masked Diffusion Language Models., , , , , , , and . CoRR, (2024)