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Truncated proposals for scalable and hassle-free simulation-based inference., , and . NeurIPS, (2022)Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations., , and . NIPS, page 5702-5712. (2017)GATSBI: Generative Adversarial Training for Simulation-Based Inference., , , , , , and . ICLR, OpenReview.net, (2022)Group equivariant neural posterior estimation., , , , , and . ICLR, OpenReview.net, (2022)Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise Correlations., , and . Frontiers Comput. Neurosci., (2010)sbi: A toolkit for simulation-based inference., , , , , , , and . J. Open Source Softw., 5 (52): 2505 (2020)All-in-one simulation-based inference., , , , and . ICML, OpenReview.net, (2024)Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations., , , , , , and . ICML, OpenReview.net, (2024)Trained recurrent neural networks develop phase-locked limit cycles in a working memory task., , and . PLoS Comput. Biol., (February 2024)Intrinsic dimension of data representations in deep neural networks., , , and . NeurIPS, page 6109-6119. (2019)