Jakiw Pidstrigach

According to our database1, Jakiw Pidstrigach authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models.
CoRR, May, 2026

2025
Control Consistency Losses for Diffusion Bridges.
CoRR, December, 2025

Sensitivity Analysis for Climate Science with Generative Flow Models.
CoRR, November, 2025

Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Conditioning Diffusions Using Malliavin Calculus.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Tweedie Moment Projected Diffusions for Inverse Problems.
Trans. Mach. Learn. Res., 2024

Infinite-Dimensional Diffusion Models.
J. Mach. Learn. Res., 2024

2023
Affine-Invariant Ensemble Transform Methods for Logistic Regression.
Found. Comput. Math., April, 2023

Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in ReLU Networks.
CoRR, 2023

Infinite-Dimensional Diffusion Models for Function Spaces.
CoRR, 2023

2022
Score-Based Generative Models Detect Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020
Convergence of Preconditioned Hamiltonian Monte Carlo on Hilbert Spaces.
CoRR, 2020


  Loading...