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Alireza Doostan

Identifiers

  • name variant Alireza Doostan 0.60 · backfill

Papers (28)

  1. In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization cs.LG · 2025 · author #3
  2. Risk-Aware Aerocapture Guidance Through a Probabilistic Indicator Function eess.SY · 2025 · author #3
  3. On the definition and importance of interpretability in scientific machine learning cs.LG · 2025 · author #2
  4. Physics-Informed Tolerance Allocation: A Surrogate-Based Framework for the Control of Geometric Variation on System Performance math.NA · 2019 · author #2
  5. Stochastic Subspace Descent math.OC · 2019 · author #3
  6. Level Set Methods for Stochastic Discontinuity Detection in Nonlinear Problems math.NA · 2018 · author #2
  7. Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence physics.comp-ph · 2018 · author #5
  8. Multi-fidelity uncertainty quantification of irradiated particle-laden turbulence physics.comp-ph · 2018 · author #4
  9. Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design stat.ME · 2017 · author #2
  10. Parametric/Stochastic Model Reduction: Low-Rank Representation, Non-Intrusive Bi-Fidelity Approximation, and Convergence Analysis math.NA · 2017 · author #4
  11. Least Squares Polynomial Chaos Expansion: A Review of Sampling Strategies stat.CO · 2017 · author #2
  12. Basis Adaptive Sample Efficient Polynomial Chaos (BASE-PC) stat.CO · 2017 · author #2
  13. Orbit Uncertainty Propagation and Sensitivity Analysis With Separated Representations stat.AP · 2016 · author #3
  14. A Low-rank Control Variate for Multilevel Monte Carlo Simulation of High-dimensional Uncertain Systems stat.CO · 2016 · author #2
  15. Time-dependent global sensitivity analysis with active subspaces for a lithium ion battery model physics.comp-ph · 2016 · author #2
  16. Contributions of microtubule dynamic instability and rotational diffusion to kinetochore capture physics.bio-ph · 2016 · author #8
  17. Optimization via Separated Representations and the Canonical Tensor Decomposition math.NA · 2016 · author #3
  18. Randomized Alternating Least Squares for Canonical Tensor Decompositions: Application to a PDE with Random Data math.NA · 2015 · author #2
  19. On Polynomial Chaos Expansion via Gradient-enhanced $\ell_1$-minimization stat.CO · 2015 · author #3
  20. On Uncertainty Quantification of Lithium-ion Batteries: Application to an LiC$_6$/LiCoO$_2$ cell physics.comp-ph · 2015 · author #3
  21. Coherence Motivated Sampling and Convergence Analysis of Least-Squares Polynomial Chaos Regression math.ST · 2014 · author #2
  22. Compressive Sampling of Polynomial Chaos Expansions: Convergence Analysis and Sampling Strategies math.PR · 2014 · author #2
  23. A Simple and Efficient Preconditioning Scheme for Heaviside Enriched XFEM math.NA · 2013 · author #3
  24. Variational multiscale analysis: the fine-scale Green's function for stochastic partial differential equations math.NA · 2013 · author #3
  25. A weighted L1-minimization approach for sparse polynomial chaos expansions math.NA · 2013 · author #3
  26. Partitioned treatment of uncertainty in coupled domain problems: A separated representation approach math.PR · 2013 · author #2
  27. Non-intrusive Low-Rank Separated Approximation of High-Dimensional Stochastic Models math-ph · 2012 · author #1
  28. A non-adapted sparse approximation of PDEs with stochastic inputs math.NA · 2010 · author #1

Mentions

  • 1305.6818 #2 · backfill · confidence 0.70 Alireza Doostan
  • 1210.1532 #1 · backfill · confidence 0.70 Alireza Doostan
  • 1006.2151 #1 · backfill · confidence 0.70 Alireza Doostan

Frequent Coauthors