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20222026
most citedA single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs

7 citations · 11 across the 10 of their papers we have counts for

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cs.LG2026

Product-Aware Deterministic Rounding for Quantized Matrix Multiplication

Piyush Sao, Narasinga Miniskar, Pedro Valero-Lara +2

Scalar rounding decisions interact through matrix multiplication. We study deterministic product-aware rounding after scales, clipping bounds, and grids are fixed, with each active…

cs.LG2026

Exact Limits of Random Projections for Preserving Geometry: Distance Recovery, Nearest-Neighbor Rankings, and Covariance Shape in Gaussian Models

Piyush Sao

The Johnson-Lindenstrauss (JL) lemma guarantees that a random projection of points to dimensions preserves pairwise squared distances within relat…

cs.LG2026

Contraction-Gauge Preconditioning for Quantized Matrix Multiplication

Piyush Sao, Narasinga Miniskar, Pedro Valero-Lara +2

We study low-precision computation of C=AB with both factors quantized. We derive an exact finite-dimensional identity for the expected squared product error under independent, zer…

cs.LG2026

Ghosts of Softmax: Complex Singularities That Limit Safe Step Sizes in Cross-Entropy

Piyush Sao

Optimization analyses for cross-entropy training rely on local Taylor models of the loss to predict whether a proposed step will decrease the objective. These surrogates are reliab…

cs.LG2026

What Trace Powers Reveal About Log-Determinants: Closed-Form Estimators, Certificates, and Failure Modes

Piyush Sao

Computing for large symmetric positive definite matrices arises in Gaussian process inference and Bayesian model comparison. Standard methods combine matrix-vector pr…

cs.LG2024★ 4 cited

PANDORA: A Parallel Dendrogram Construction Algorithm for Single Linkage Clustering on GPU

Piyush Sao, Andrey Prokopenko, Damien Lebrun-Grandié

This paper presents \pandora, a novel parallel algorithm for efficiently constructing dendrograms for single-linkage hierarchical clustering, including \hdbscan. Traditional dendro…