Code

📐 QuantNets

Generalizing CNNs to graphs via Learnable Neighborhood Quantization.

An RL benchmark for dynamic treatment regimes with partial observability and reward sparsity.

Pathwise Clustered Matrix Factorization for scalable clustering in PCA, NMF, and CCA.

A comprehensive pipeline for speaker diarization and multimodal feature extraction from video.

A forthcoming toolkit for data cleaning and preprocessing in neuroscience and clinical datasets.

🌐 View legacy projects at github.com/grosenicklab