Projects

Research projects from the ARIA Research Lab at NJIT, including NeuPI, CaptainCook4D, neural probabilistic inference, structured AI, and human-AI interaction.

This page showcases the public GitHub repositories and open-source resources maintained by the ARIA Research Lab. Explore our code, datasets, and collaborative projects. For more details, visit our GitHub organization.

datasets
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CaptainCook4D

A Dataset for Understanding Errors in Procedural Activities

libraries
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NeuPI

PyTorch-based library for neural probabilistic inference

research
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Advanced MPE Inference Schemes for Dependency Networks
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SINE: Scalable MPE Inference for PGMs

Advanced Neural embeddings and discretization schemes for scalable MPE inference for discrete graphical models.
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SS-CMPE: Learning to Solve the Constrained MPE Task

Self-supervised learning for constrained most probable explanation (CMPE) in probabilistic graphical models.