Jan Stanczuk

According to our database, Jan Stanczuk authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Diffusion Models Encode the Intrinsic Dimension of Data Manifolds.

Jan Stanczuk, Georgios Batzolis, Teo Deveney, Carola-Bibiane Schönlieb

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Time Series Diffusion in the Frequency Domain.

Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Navigating the development challenges in creating complex data systems.

Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily R. Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb

Nat. Mac. Intell., July, 2023

Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation.

Teo Deveney, Jan Stanczuk, Lisa Maria Kreusser, Chris J. Budd, Carola-Bibiane Schönlieb

CoRR, 2023

Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior.

Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb

CoRR, 2023

2022

Your diffusion model secretly knows the dimension of the data manifold.

Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb

CoRR, 2022

Non-Uniform Diffusion Models.

Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann

CoRR, 2022

Classification of datasets with imputed missing values: does imputation quality matter?

Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb

CoRR, 2022

2021

Conditional Image Generation with Score-Based Diffusion Models.

Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann

CoRR, 2021

Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance).

Jan Stanczuk, Christian Etmann, Lisa Maria Kreusser, Carola-Bibiane Schönlieb

CoRR, 2021