Alison Pouplin

According to our database, Alison Pouplin authored at least 9 papers between 2018 and 2025.

Collaborative distances:

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

2025

Spacetime Geometry of Denoising in Diffusion Models.

Rafal Karczewski, Markus Heinonen, Alison Pouplin, Søren Hauberg, Vikas Garg

CoRR, May, 2025

Towards Variational Flow Matching on General Geometries.

Olga Zaghen, Floor Eijkelboom, Alison Pouplin, Erik J. Bekkers

CoRR, February, 2025

2024

Preface to Geometry-grounded Representation Learning and Generative Modeling (GRaM) Workshop.

Sharvaree Vadgama, Erik J. Bekkers, Alison Pouplin, Sékou-Oumar Kaba, Robin Walters, Hannah Lawrence, Tegan Emerson, Henry Kvinge, Jakub M. Tomczak, Stefanie Jegelka

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

Identifying latent distances with Finslerian geometry.

Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg

Trans. Mach. Learn. Res., 2023

On the curvature of the loss landscape.

Alison Pouplin, Hrittik Roy, Sidak Pal Singh, Georgios Arvanitidis

CoRR, 2023

2022

PyRelationAL: A Library for Active Learning Research and Development.

Paul Scherer, Thomas Gaudelet, Alison Pouplin, Suraj M. S, Jyothish Soman, Lindsay Edwards, Jake P. Taylor-King

CoRR, 2022

Pulling back information geometry.

Georgios Arvanitidis, Miguel González Duque, Alison Pouplin, Dimitrios Kalatzis, Søren Hauberg

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2018

Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data.

Antonia Creswell, Alison Pouplin, Anil A. Bharath

IET Comput. Vis., 2018

Approximating the solution to wave propagation using deep neural networks.

Wilhelm E. Sorteberg, Stef Garasto, Alison S. Pouplin, Chris D. Cantwell, Anil A. Bharath

CoRR, 2018