2 citations · 3 across the 3 of their papers we have counts for
4 papers
LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings
Benjamin F. Maier, Ulf Aslak, Luca Fiaschi +6
Consumer research costs companies billions annually yet suffers from panel biases and limited scale. Large language models (LLMs) offer an alternative by simulating synthetic consu…
Probabilistic Programming in Python using PyMC
John Salvatier, Thomas Wiecki, Christopher Fonnesbeck
Probabilistic programming (PP) allows flexible specification of Bayesian statistical models in code. PyMC3 is a new, open-source PP framework with an intutive and readable, yet pow…
Sequential sampling models in computational psychiatry: Bayesian parameter estimation, model selection and classification
Thomas V. Wiecki
Current psychiatric research is in crisis. In this review I will describe the causes of this crisis and highlight recent efforts to overcome current challenges. One particularly pr…
A computational model of inhibitory control in frontal cortex and basal ganglia
Thomas V. Wiecki, Michael J. Frank
Planning and executing volitional actions in the face of conflicting habitual responses is a critical aspect of human behavior. At the core of the interplay between these two contr…