Jakiw Pidstrigach

According to our database, Jakiw Pidstrigach authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Sensitivity Analysis for Climate Science with Generative Flow Models.

Alex Dobra, Jakiw Pidstrigach, Tim Reichelt, Christian Schröder de Witt, Philip Torr, Philip Stier

CoRR, November, 2025

Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive.

Tyler Farghly, Peter Potaptchik, Samuel Howard, George Deligiannidis, Jakiw Pidstrigach

CoRR, October, 2025

Conditioning Diffusions Using Malliavin Calculus.

Jakiw Pidstrigach, Elizabeth Louise Baker, Carles Domingo-Enrich, George Deligiannidis, Nikolas Nüsken

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Tweedie Moment Projected Diffusions for Inverse Problems.

Benjamin Boys, Mark Girolami, Jakiw Pidstrigach, Sebastian Reich, Alan Mosca, Ömer Deniz Akyildiz

Trans. Mach. Learn. Res., 2024

2023

Affine-Invariant Ensemble Transform Methods for Logistic Regression.

Jakiw Pidstrigach, Sebastian Reich

Found. Comput. Math., April, 2023

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

Diksha Bhandari, Jakiw Pidstrigach, Sebastian Reich

CoRR, 2023

Infinite-Dimensional Diffusion Models for Function Spaces.

Jakiw Pidstrigach, Youssef M. Marzouk, Sebastian Reich, Sven Wang

CoRR, 2023

2022

Score-Based Generative Models Detect Manifolds.

Jakiw Pidstrigach

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.

Jakiw Pidstrigach

CoRR, 2020