1. Quantum Doubly Stochastic Transformers
    • Born, Jannis; Skogh, Filip; Rhrissorrakrai, Kahn; Utro, Filippo; Wagner, Nico; Sobczyk, Aleksandros;
    • Advances in Neural Information Processing Systems (NeurIPS), 2025
    • Spotlight (~3.2% top submissions)
    • Arxiv
  2. Spectral Gaps with Quantum Counting Queries and Oblivious State Preparation
    • Carrera Vazquez, Almudena; Sobczyk, Aleksandros;
    • arXiv preprint arXiv:2508.21002, 2025
    • Arxiv
  3. Segmented Operations using Matrix Multiplications
    • Sobczyk, Aleksandros; Sorrentino, Giuseppe; Zouzias, Anastasios;
    • arXiv preprint arXiv:2506.23906, 2025
    • Arxiv
  4. The Impact of Partial Computations on the Red-Blue Pebble Game
    • Papp, Pál András; Sobczyk, Aleksandros; Yzelman, Albert-Jan N;
    • 37th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2025
    • Publication Arxiv
  5. Deterministic complexity analysis of Hermitian eigenproblems
    • Sobczyk, Aleksandros;
    • 52nd International Colloquium on Automata, Languages, and Programming (ICALP), 2025
    • Publication Arxiv
  6. I/O complexity and pebble games with partial computations
    • Sobczyk, Aleksandros;
    • arXiv preprint arXiv:2410.22237, 2024
    • Arxiv
  7. Invariant subspaces and PCA in nearly matrix multiplication time
    • Sobczyk, Aleksandros; Mladenovic, Marko; Luisier, Mathieu;
    • Advances in Neural Information Processing Systems (NeurIPS), 2024
    • Publication Arxiv Video
  8. Fuelling the Digital Chemistry Revolution with Language Models: Sandmeyer Award 2022
    • Cardinale, Antonio; Castrogiovanni, Alessandro; Gaudin, Theophile; Geluykens, Joppe; Laino, Teodoro; Manica, Matteo; Probst, Daniel; Schwaller, Philippe; Sobczyk, Aleksandros; Toniato, Alessandra;
    • Chimia, 2023
    • Publication
  9. Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
  10. pylspack: Parallel Algorithms and Data Structures for Sketching, Column Subset Selection, Regression, and Leverage Scores
  11. Estimating leverage scores via rank revealing methods and randomization
  12. A general tridiagonal solver for coprocessors: Adapting g-Spike for the Intel Xeon Phi
    • Venetis, Ioannis E; Sobczyk, Alexandros; Kouris, Alexandros; Nakos, Alexandros; Nikoloutsakos, Nikolaos; Gallopoulos, Efstratios;
    • Parallel Computing: On the Road to Exascale, 2016
    • Publication
  13. A direct tridiagonal solver based on Givens rotations for GPU architectures
    • Venetis, Ioannis E; Kouris, Alexandros; Sobczyk, Alexandros; Gallopoulos, Efstratios; Sameh, Ahmed H;
    • Parallel Computing, 2015
    • Publication