Cadei, Riccardo

10 publications

ICLRW 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

NeurIPS 2025 Prediction-Powered Causal Inferences Riccardo Cadei, Ilker Demirel, Piersilvio De Bartolomeis, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, Francesco Locatello

NeurIPS 2025 The Third Pillar of Causal Analysis? a Measurement Perspective on Causal Representations Dingling Yao, Shimeng Huang, Riccardo Cadei, Kun Zhang, Francesco Locatello

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

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

ICMLW 2024 Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, Francesco Locatello

NeurIPSW 2024 Unifying Causal Representation Learning with the Invariance Principle Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello

NeurIPSW 2024 Unifying Causal Representation Learning with the Invariance Principle Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello

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

NeurIPSW 2021 Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi