Privacy-preserving Object Detection. - Peiyang He; Charlie Griffin; Krzysztof Kacprzyk; Artjom Joosen; Michael Collyer; Aleksandar Shtedritski; Yuki Markus Asano (CoRR, 2021)

D-CODE: Discovering Closed-form ODEs from Observed Trajectories. - Zhaozhi Qian; Krzysztof Kacprzyk; Mihaela van der Schaar (ICLR, 2022)

D-CIPHER: Discovery of Closed-form PDEs. - Krzysztof Kacprzyk; Zhaozhi Qian; Mihaela van der Schaar (CoRR, 2022)

Navigating causal deep learning. - Jeroen Berrevoets; Krzysztof Kacprzyk; Zhaozhi Qian; Mihaela van der Schaar (CoRR, 2022)

D-CIPHER: Discovery of Closed-form Partial Differential Equations. - Krzysztof Kacprzyk; Zhaozhi Qian; Mihaela van der Schaar (NeurIPS, 2023)

Causal Deep Learning. - Jeroen Berrevoets; Krzysztof Kacprzyk; Zhaozhi Qian; Mihaela van der Schaar (CoRR, 2023)

Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. - Krzysztof Kacprzyk; Mihaela van der Schaar (AISTATS, 2024)

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. - Krzysztof Kacprzyk; Samuel Holt; Jeroen Berrevoets; Zhaozhi Qian; Mihaela van der Schaar (ICLR, 2024)

Towards Transparent Time Series Forecasting. - Krzysztof Kacprzyk; Tennison Liu; Mihaela van der Schaar (ICLR, 2024)

Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. - Paulius Rauba; Nabeel Seedat; Krzysztof Kacprzyk; Mihaela van der Schaar (NeurIPS, 2024)

Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. - Jeroen Berrevoets; Krzysztof Kacprzyk; Zhaozhi Qian; Mihaela van der Schaar (Found. Trends Signal Process., 2024)

Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression. - Krzysztof Kacprzyk; Mihaela van der Schaar (AISTATS, 2025)

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs. - Krzysztof Kacprzyk; Mihaela van der Schaar (ICLR, 2025)

Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation. - Mihaela van der Schaar; Richard W. Peck; Eoin F. McKinney; James Weatherall; Stuart Bailey; Justine Rochon; Chris Anagnostopoulos; Pierre Marquet; Anthony Wood; Nicky Best; Harry Amad; Julianna Piskorz; et al. (CoRR, 2025)

Beyond the ATE: Interpretable Modelling of Treatment Effects over Dose and Time. - Julianna Piskorz; Krzysztof Kacprzyk; Harry Amad; Mihaela van der Schaar (CoRR, 2025)