In-Context In-Context Learning with Transformer Neural Processes. - Matthew Ashman; Cristiana Diaconu; Adrian Weller; Richard E. Turner (AABI, 2024)

Translation Equivariant Transformer Neural Processes. - Matthew Ashman; Cristiana Diaconu; Junhyuck Kim; Lakee Sivaraya; Stratis Markou; James Requeima; Wessel P. Bruinsma; Richard E. Turner (ICML, 2024)

Approximately Equivariant Neural Processes. - Matthew Ashman; Cristiana Diaconu; Adrian Weller; Wessel P. Bruinsma; Richard E. Turner (NeurIPS, 2024)

On conditional diffusion models for PDE simulations. - Aliaksandra Shysheya; Cristiana Diaconu; Federico Bergamin; Paris Perdikaris; José Miguel Hernández-Lobato; Richard E. Turner; Emile Mathieu (NeurIPS, 2024)

Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data. - Matthew Ashman; Cristiana Diaconu; Eric Langezaal; Adrian Weller; Richard E. Turner (CoRR, 2024)

Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning. - Anish Dhir; Cristiana Diaconu; Valentinian Mihai Lungu; James Requeima; Richard E. Turner; Mark van der Wilk (CoRR, 2025)