Publications by Viktor Nilsson
Peer reviewed
Articles
[1]
V. Nilsson et al., "Probabilistic dose prediction using mixture density networks for automated radiation therapy treatment planning," Physics in Medicine and Biology, vol. 66, no. 5, 2021.
Conference papers
[2]
V. Nilsson et al., "REMEDI: Corrective Transformations for Improved Neural Entropy Estimation," in International Conference on Machine Learning, ICML 2024, 2024, pp. 38207-38236.
Non-peer reviewed
Theses
[3]
V. Nilsson, "On large deviations in probabilistic deep learning and generative modeling," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-SCI-FOU, 2025:59, 2025.
Other
[4]
V. Nilsson and P. Nyquist, "A weak convergence approach to the large deviations of the dynamic Schrödinger problem," (Manuscript).
[5]
[6]
V. Nilsson and P. Nyquist, "Large deviations for interacting particle dynamics for finding mixed equilibria in zero-sum games," (Manuscript).
[7]
V. Nilsson and P. Nyquist, "Large deviations for scaled families of Schrödinger bridges with reflection," (Manuscript).
Latest sync with DiVA:
2025-12-08 23:10:30 UTC