Full Bayesian Inference for Hidden Markov Models
This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail behavior.
[ACL 2026] Fine Tuning MLLMs with Reasoning Priors from DeepSeekR1
Efficient and diverse virtual cell priors in JAX for end-to-end pretraining
Indian Rupee - US Dollar exchange rate forecasting using Bayesian VAR and various priors
Computational Cognitive modelling, Reinforcement Learning NYU Spring 2020, Dr Brenden Lake and Dr. Todd Gureckis.
Data release associated with Vitale et al. PRL 119, 251103 (2017), arXiv:1707.04637.
A scalable two-stage news recommender that retrieves relevant candidates and reranks them using hybrid lexical and semantic features to optimize top-K recommendation quality.
An R package for I-prior regression
Real Scene Single Image Dehazing Network with Multi-Prior Guidance and Domain Transfer [IEEE TMM 2025]
A lightweight Prior-Fitted Network for tabular classification on edge devices.
Manuscript project asking why cognitive priors exist, applying Tinbergen's four questions to hierarchical Bayes and the ontogenetic regress — 12 argument modules, 21 deterministic figures, a 35-entry symbol glossary with closure checks, and a reproducible Python build to PDF, HTML and slides.
Computational Cognitive modelling, NYU Spring 2020, Dr Brenden Lake and Dr. Todd Gureckis.
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