Publications

Publications

Journal publications

  • V. Minden and L. Ying. “A Simple Solver for the Fractional Laplacian in Multiple Dimensions”, SIAM J. Sci. Comput., 42(2), A878–A900. (Journal version)
  • A. Damle, V. Minden, and L. Ying. “Simple, direct, and efficient multi-way spectral clustering”, Information and Inference: a Journal of the IMA, 8-1 (2019), pp. 181-203. (arXiv, Journal version)
  • V. Minden, A. Damle, K. L. Ho, and L. Ying. “Fast Spatial Gaussian Process Maximum Likelihood Estimation via Skeletonization Factorizations”, Multiscale Model. Simul., 15-4 (2017), pp. 1584–1611. (arXiv, Journal version)
  • V. Minden, K. L. Ho, A. Damle, and L. Ying. “A recursive skeletonization factorization based on strong admissibility”, Multiscale Model. Simul., 15-2 (2017), pp. 768–796. (arXiv, Journal version)
  • B. Lo, V. Minden, and P. Colella. “A Real-Space Green’s Function Method for the Numerical Solution of Maxwell’s Equations”, Communications in Applied Mathematics and Computational Science 11-2 (2016), pp. 143-170. (Journal version)
  • V. Minden, A. Damle, K. L. Ho, and L. Ying. “A technique for updating hierarchical skeletonization-based factorizations of integral operators”, Multiscale Model. Simul. 14-1 (2016), pp. 42-64. (arXiv, Journal version)

Conference proceedings

  • A. Khalilian-Gourtani, M. Tepper, V. Minden, and D. B. Chklovskii. “Strip the stripes: artifact detection and removal for scanning electron microscopy imaging”. Proceedings of the 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019). (Paper)
  • A. Giovannucci, V. Minden, C. Pehlevan, and D. B. Chklovskii. “Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching”. Proceedings of the 2018 IEEE International Conference on Big Data. (arXiv, Conference version)
  • V. Minden, C. Pehlevan, and D. B. Chklovskii. “Biologically Plausible Online Principal Component Analysis Without Recurrent Neural Dynamics”. Proceedings of the 52nd Asilomar Conference on Signals and Systems. (arXiv, Conference version)
  • V. Minden, C. Youn, and U. A. Khan, “A distributed self-clustering algorithm for autonomous multi-agent systems”, in the Proceedings of the 50th Annual Allerton Conference on Communication, Control and Computing, Monticello, IL, Oct. 2012. (Paper)
  • V. Minden, B. Smith, and M. G. Knepley. “Preliminary Implementation of PETSc Using GPUs”, in the Proceedings of the 2010 International Workshop of GPU Solutions to Multiscale Problems in Science and Engineering, Springer, 2011. (Paper)

Theses

  • V. Minden. “Data-sparse Algorithms for Structured Matrices,” Ph.D. thesis at Stanford University. (Paper, Slides)
  • V. Minden. “Improved Iterative Methods for NAPL Transport Through Porous Media,” B.S. thesis at Tufts University. (Paper, Slides)