Publications

Publications of the NEITALG project, sorted by year.

Publications

2026

  1. Ensemble optimal control for managing drug resistance in cancer therapies
    Alessandro Scagliotti, Federico Scagliotti, Laura Deborah Locati, and 1 more author
    Bulletin of Mathematical Biology, 2026
  2. Constrained consensus-based optimization and numerical heuristics for the few particle regime
    Jonas Beddrich, Enis Chenchene, Massimo Fornasier, and 2 more authors
    Journal of Global Optimization, 2026

Preprints

2026

  1. Trade-off invariance for weighted scalarizations in multi-objective optimization
    Jona Klemenc and Alessandro Scagliotti
    arXiv preprint arXiv:2606.24493, 2026
  2. Approximation in Metric Sobolev Spaces: A General Framework
    Massimo Fornasier and Giacomo Enrico Sodini
    2026
  3. Sharp Rates of MMD Empirical Estimation with Power Kernels
    Francesco Colasanto, Matteo Focardi, Massimo Fornasier, and 1 more author
    2026
  4. Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
    Albert Alcalde, Leon Bungert, Konstantin Riedl, and 1 more author
    2026
  5. From consensus-based optimization to evolution strategies: Proof of global convergence
    Massimo Fornasier, Hui Huang, Jona Klemenc, and 1 more author
    arXiv preprint arXiv:2602.11677, 2026
  6. SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
    Viktor Stein, Wuchen Li, and Gabriele Steidl
    arXiv preprint arXiv:2603.16535, 2026
  7. Approximating f -Divergences with Rank Statistics
    Viktor Stein and José Manuel Frutos
    arXiv preprint arXiv:2601.22784, 2026
  8. Well-Posed KL-Regularized Control via Wasserstein and Kalman-Wasserstein KL Divergences
    Viktor Stein, Adwait Datar, and Nihat Ay
    arXiv preprint arXiv:2602.02250, 2026
  9. Risk-Averse Ensemble Control for Control-Affine Systems
    Alessandro Scagliotti and Thomas M Surowiec
    arXiv preprint arXiv:2605.02791, 2026
  10. On the Concavity of Tsallis Entropy along the Heat Flow
    Lukang Sun
    arXiv preprint arXiv:2601.12944, 2026
  11. Concentration for random Euclidean combinatorial optimization
    Matteo d’Achille, Francesco Mattesini, and Dario Trevisan
    arXiv preprint arXiv:2602.21851, 2026
  12. Adapted Wasserstein Barycenters of Gaussian Processes
    Francesco Mattesini and Johannes Wiesel
    arXiv preprint arXiv:2604.22453, 2026
  13. Statistical Learning Theory for Distributional Classification
    Christian Fiedler
    arXiv preprint arXiv:2601.14818, 2026

2025

  1. Position-Blind Ptychography: Viability of image reconstruction via data-driven variational inference
    Simon Welker, Lorenz Kuger, Tim Roith, and 4 more authors
    2025
    arXiv preprint arXiv:2509.25269