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V2 BayesFlow and Hierarchal Modeling
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1
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99
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April 3, 2025
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How to Prevent Overfitting with a Very Small Dataset?
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7
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74
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March 26, 2025
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BayesFlow Neo (V2) Now Available
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0
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78
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March 19, 2025
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SetTransformer Dimensions
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1
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38
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March 14, 2025
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Warning during online training leading to NaN loss
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4
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67
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February 25, 2025
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Prior function and random seeds
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5
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47
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February 25, 2025
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Meta function for implementing random nobs
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3
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42
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February 21, 2025
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How to correctly load a trained ContinuousApproximator model to sample from it?
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4
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119
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February 16, 2025
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Simple negative binomial inference
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6
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158
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January 23, 2025
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Time Series Dimension Errors in HierarchicalNetwork
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3
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79
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January 17, 2025
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Identifiability of Parameters in Bayesflow
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3
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74
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December 11, 2024
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Low training speed with training on GPU
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3
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68
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December 10, 2024
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Access param by name in simulator function?
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2
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65
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October 17, 2024
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Posterior z-score and Unusual Sampling
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3
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64
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October 5, 2024
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Posterior Summaries
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2
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52
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September 22, 2024
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Preprint on "Amortized Bayesian Multilevel Models"
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3
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157
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September 15, 2024
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Models with choice, RT and fixations?
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2
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76
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August 28, 2024
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Online training with Julia
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3
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81
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August 10, 2024
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Preferred way to deal with time series with non-equidistant time steps
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10
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217
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August 8, 2024
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Discussion of Normalizing flow
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6
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227
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August 8, 2024
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Dealing with time series (SDE model)
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12
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131
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August 7, 2024
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Adding manual summary statistics to summary network
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5
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173
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August 6, 2024
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How to implement a go/nogo paradigm
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4
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83
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June 25, 2024
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Offline training with different observations
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2
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117
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June 15, 2024
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Reinforcement Learning Cognitive Models
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5
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302
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June 9, 2024
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Confused in training `AmortizedPosteriorEstimator`
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6
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227
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April 23, 2024
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Graphs in Vector Format like PDF/SVG
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12
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188
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April 18, 2024
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About find log_likelihood and log_posterior
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4
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165
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April 16, 2024
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Training data with additive noise
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8
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225
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March 25, 2024
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macOS GPU (TensorFlow-metal)
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5
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240
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March 18, 2024
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