2 papers
cs.LG2026
Recovery-Directed Symbolic Distillation of Neural Likelihoods
Kianté Fernandez, Xinwei Li
Amortized neural likelihoods enable computationally expensive inference for models with analytically intractable or unspecified likelihoods, but their black-box nature limits inter…
cs.MS2024
SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia
Kianté Fernandez, Dominique Makowski, Christopher Fisher
Sequential sampling models (SSMs) are a widely used framework describing decision-making as a stochastic, dynamic process of evidence accumulation. SSMs popularity across cognitive…