Research output per year
Research output per year
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Dive into the research topics where Nikolas Nusken is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs
Richter, L., Sallandt, L. & Nusken, N., Jun 2024, In: JOURNAL OF MACHINE LEARNING RESEARCH.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Downloads (Pure) -
Transport Meets Variational Inference: Controlled Monte Carlo Diffusions
Vargas, F., Padhy, S., Blessing, D. & Nusken, N., 7 May 2024, The Twelfth International Conference on Learning Representations: ICLR 2024.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
File38 Downloads (Pure) -
Interpolating Between BSDEs and PINNs: Deep Learning for Elliptic and Parabolic Boundary Value Problems
Nusken, N. & Richter, L., Mar 2023, In: Journal of Machine Learning. 2, 1, p. 31-64Research output: Contribution to journal › Article › peer-review
File26 Downloads (Pure) -
On the geometry of Stein variational gradient descent
Duncan, A., Szpruch, L. & Nusken, N., 1 Jan 2023, In: JOURNAL OF MACHINE LEARNING RESEARCH. 24, 56, p. 1-39 39 p.Research output: Contribution to journal › Article › peer-review
File12 Downloads (Pure) -
Rough McKean–Vlasov dynamics for robust ensemble Kalman filtering
Nusken, N., Coghi, M., Nilssen, T. & Reich, S., 13 Dec 2023, In: The Annals of Applied Probability. 33, 6B, p. 5693-5752 60 p.Research output: Contribution to journal › Article › peer-review
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