In this talk, we invite ourselves into Mahmadji of Pakhli’s social imaginary, dreamt up at the zenith of British carceral power. We will wander along the radical pathways of Mahmadji’s love songs, in which we find a strange sovereignty bleeding through the black locks of the beloved, rage for an impoverished girl refusing to work the land, and more.
This talk explores how to construct meaningful features from noisy, high-dimensional data by leveraging geometric and invariant structures. First, we introduce a geometric framework for dimension reduction using a power-weighted path metric, which effectively de-noises high-dimensional data while preserving its intrinsic geometric structure. This framework is particularly useful for analyzing single-cell RNA data and for multi-manifold clustering, and we provide theoretical guarantees for the convergence of the associated graph Laplacian operators.
Directed by David Gonzalez, "Redemption Time" is a true story of trauma, transformation, and the power of poetry and music to free the soul.
