Matthew Ashman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
3
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | A Meta-Learning Approach to Bayesian Causal Discovery. | Anish Dhir, Matthew Ashman, James Requeima, Mark van der Wilk |
| 2025 | ICML | Gridded Transformer Neural Processes for Spatio-Temporal Data. | Matthew Ashman, Cristiana Diaconu, Eric Langezaal, Adrian Weller, Richard E. Turner |
| 2024 | ICML | Translation Equivariant Transformer Neural Processes. | Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner |
| 2023 | ICLR | Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning. | Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang |
| 2023 | ICLR | GeValDi: Generative Validation of Discriminative Models. | Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt |
| 2021 | AISTATS | Scalable Gaussian Process Variational Autoencoders. | Metod Jazbec, Matthew Ashman, Vincent Fortuin, Michael Pearce, Stephan Mandt, Gunnar Rtsch |