Cristiana Diaconu

According to our database, Cristiana Diaconu authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

Probabilistic Retrofitting of Learned Simulators.

Cristiana Diaconu, Miles D. Cranmer, Richard E. Turner, Tanya Marwah, Payel Mukhopadhyay

CoRR, March, 2026

Incremental Transformer Neural Processes.

Philip Mortimer, Cristiana Diaconu, Tommy Rochussen, Bruno Mlodozeniec, Richard E. Turner

CoRR, February, 2026

Use What You Know: Causal Foundation Models with Partial Graphs.

Arik Reuter, Anish Dhir, Cristiana Diaconu, Jake Robertson, Ole Ossen, Frank Hutter, Adrian Weller, Mark van der Wilk, Bernhard Schölkopf

CoRR, February, 2026

2025

Walrus: A Cross-Domain Foundation Model for Continuum Dynamics.

Michael McCabe, Payel Mukhopadhyay, Tanya Marwah, Bruno Régaldo-Saint Blancard, François Rozet, Cristiana Diaconu, Lucas Meyer, Kaze W. K. Wong, Hadi Sotoudeh, Alberto Bietti, Irina Espejo, Rio Fear, Siavash Golkar, Tom Hehir, Keiya Hirashima, Géraud Krawezik, François Lanusse, Rudy Morel, Ruben Ohana, Liam Holden Parker, Mariel Pettee, Jeff Shen, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho

CoRR, November, 2025

Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning.

Anish Dhir, Cristiana Diaconu, Valentinian Lungu, James Requeima, Richard E. Turner, Mark van der Wilk

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Gridded Transformer Neural Processes for Spatio-Temporal Data.

Matthew Ashman, Cristiana Diaconu, Eric Langezaal, Adrian Weller, Richard E. Turner

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

2024

Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data.

Matthew Ashman, Cristiana Diaconu, Eric Langezaal, Adrian Weller, Richard E. Turner

CoRR, 2024

Denoising Diffusion Probabilistic Models in Six Simple Steps.

Richard E. Turner, Cristiana-Diana Diaconu, Stratis Markou, Aliaksandra Shysheya, Andrew Y. K. Foong, Bruno Mlodozeniec

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Approximately Equivariant Neural Processes.

Matthew Ashman, Cristiana Diaconu, Adrian Weller, Wessel P. Bruinsma, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Translation Equivariant Transformer Neural Processes.

Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner

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

In-Context In-Context Learning with Transformer Neural Processes.

Matthew Ashman, Cristiana Diaconu, Adrian Weller, Richard E. Turner

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2024