Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective. - Yuejiang Liu; Riccardo Cadei; Jonas Schweizer; Sherwin Bahmani; Alexandre Alahi (CVPR, 2022)

Smoke and Mirrors in Causal Downstream Tasks. - Riccardo Cadei; Lukas Lindorfer; Sylvia Cremer; Cordelia Schmid; Francesco Locatello (NeurIPS, 2024)

Unifying Causal Representation Learning with the Invariance Principle. - Dingling Yao; Dario Rancati; Riccardo Cadei; Marco Fumero; Francesco Locatello (ICLR, 2025)

Causal Lifting of Neural Representations: Zero-Shot Generalization for Causal Inferences. - Riccardo Cadei; Ilker Demirel; Piersilvio De Bartolomeis; Lukas Lindorfer; Sylvia Cremer; Cordelia Schmid; Francesco Locatello (CoRR, 2025)

The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations. - Dingling Yao; Shimeng Huang; Riccardo Cadei; Kun Zhang 001; Francesco Locatello (CoRR, 2025)