Juan L. Gamella

According to our database, Juan L. Gamella authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Anti-causal domain generalization: Leveraging unlabeled data.

Sorawit Saengkyongam, Juan L. Gamella, Andrew C. Miller, Jonas Peters, Nicolai Meinshausen, Christina Heinze-Deml

CoRR, February, 2026

2025

Causal chambers as a real-world physical testbed for AI methodology.

Juan L. Gamella, Jonas Peters, Peter Bühlmann

Nat. Mac. Intell., 2025

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration.

Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Jörn-Henrik Jacobsen, Marco Cuturi

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

Sanity Checking Causal Representation Learning on a Simple Real-World System.

Juan L. Gamella, Simon Bing, Jakob Runge

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

2024

Learning and scoring Gaussian latent variable causal models with unknown additive interventions.

Armeen Taeb, Juan L. Gamella, Christina Heinze-Deml, Peter Bühlmann

J. Mach. Learn. Res., 2024

The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology.

Juan L. Gamella, Jonas Peters, Peter Bühlmann

CoRR, 2024

2020

Active Invariant Causal Prediction: Experiment Selection through Stability.

Juan L. Gamella, Christina Heinze-Deml

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020