Author

Volodymyr Kindratenko

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#machine learning Preprint Sep 2026

GEM-KMeans: Memory-Efficient and Accurate Clustering on Massive Scale with GPU Optimization

This paper introduces GEM-KMeans, a spectrally normalized yet mathematically equivalent NLR formulation that fuses the gradient update, nonnegative projection, and sufficient statistics for normalization and iterate movement into a matrix-multiplication epilogue.

Peng Xu, Nihar Koganti, Volodymyr Kindratenko et al. · 0 citations

#artificial intelligence Preprint Sep 2026

RECLAIM: Can Agents Reproduce the Claims of Machine Learning Papers?

Reproducing a machine learning paper involves most research steps, from installing software and debugging to running experiments, work that AI agents increasingly do. We introduce RECLAIM, a benchmark of 100 NeurIPS 2025 papers that can be rebuilt yearly from new conferences. For each paper we fix in advance the result...

Mithil Salunkhe, Hao Ding, Samridhi Verma et al. · 0 citations