a python framework to build, learn and reason about probabilistic circuits and tensor networks

How to Turn Your Knowledge Graph Embeddings into Generative Models

Squared Non-monotonic Probabilistic Circuits

PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Paper Honorable Mention

GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings