We highly believe in open and reproducible science. To this end, we try our best to publicly release our software and data sets.
- Paper: “An Exemplar-Based Approach to Individualized Parcellation Reveals the Need for Sex Specific Functional Network”
- Code is released here.
- Paper: “A Submodular Approach to Create Individualized Parcellations of the Human Brain”
- Code is released here.
- Paper: “Streaming Weak Submodularity: Interpreting Neural Networks on the Fly”
- Code is released here.
- Paper: “Learning Neural Connectivity from Firing Activity: Scalable Algorithms with Provable Guarantees”
- Code is released here.
- Paper: “Probabilistic Submodular Maximization in Sub-Linear Time”
- Code is released here.
- Paper: “Differentially Submodular Maximization: Data Summarization in Disguise”
- Code is released here.