publications

2025

  1. The Flow-Limit of Reflect-Reflect-Relax: Existence, Stability, and Discrete-Time Behavior
    Manish Krishan Lal
    arXiv preprint arXiv:2512.23843, 2025
  2. Backpropagation from KL Projections: Differential and Exact I-Projection Correspondences
    Manish Krishan Lal
    arXiv preprint arXiv:2512.24335, 2025
  3. Real Roots of Real Cubics and Optimization
    Heinz H Bauschke, Manish Krishan Lal, and Xianfu Wang
    Journal of Convex Analysis, 2025
    Dedicated to R. Tyrrell Rockafellar.
  4. Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
    Sai Niranjan Ramachandran, Manish Krishan Lal, and Suvrit Sra
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
  5. A projection-based framework for gradient-free and parallel learning
    Andreas Bergmeister, Manish Krishan Lal, Stefanie Jegelka, and 1 more author
    arXiv preprint arXiv:2506.05878, 2025

2024

  1. Nonconvex Projections Arising in Bilinear Mathematical Models
    Manish Krishan Lal
    The University of British Columbia, 2024

2023

  1. Projections onto hyperbolas or bilinear constraint sets in Hilbert spaces
    Heinz H Bauschke, Manish Krishan Lal, and Xianfu Wang
    Journal of Global Optimization, 2023
  2. Directional asymptotics of Fejér monotone sequences
    Heinz H Bauschke, Manish Krishan Lal, and Xianfu Wang
    Optimization Letters, 2023
  3. Projecting onto rectangular hyperbolic paraboloids in Hilbert space
    Heinz H Bauschke, Manish Krishan Lal, and Xianfu Wang
    Applied Set-Valued Analysis & Optimization, 2023
    Dedicated to Henry Wolkowicz.

2022

  1. The projection onto the cross
    Heinz H Bauschke, Manish Krishan Lal, and Xianfu Wang
    Set-Valued and Variational Analysis, 2022

2021

  1. A nonmonotone trust region method for unconstrained optimization problems on Riemannian manifolds
    Xiaobo Li, Xianfu Wang, and Manish Krishan Lal
    Journal of Optimization Theory and Applications, 2021