Krzysztof Kacprzyk

20 papers A* 7A 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression. AISTATS Krzysztof Kacprzyk, Mihaela van der Schaar
2025	J	`jnl`	Beyond the ATE: Interpretable Modelling of Treatment Effects over Dose and Time. CoRR Julianna Piskorz, Krzysztof Kacprzyk, Harry Amad, Mihaela van der Schaar
2025	A*	`conf`	No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs. ICLR Krzysztof Kacprzyk, Mihaela van der Schaar
2025	J	`jnl`	No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs. CoRR Krzysztof Kacprzyk, Mihaela van der Schaar
2025	J	`jnl`	Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation. CoRR 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, Krzysztof Kacprzyk, Rafik Salama, Christina Gunther, Francesca Frau, Antoine Pugeat, Ramon Hernandez
2025	A*	`conf`	Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data. ICML Krzysztof Kacprzyk, Julianna Piskorz, Mihaela van der Schaar
2024	J	`jnl`	Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. Found. Trends Signal Process. Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2024	A*	`conf`	ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. ICLR Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. CoRR Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2024	A*	`conf`	Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. NeurIPS Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar
2024	J	`jnl`	Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. CoRR Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar
2024	A	`conf`	Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. AISTATS Krzysztof Kacprzyk, Mihaela van der Schaar
2024	J	`jnl`	Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. CoRR Krzysztof Kacprzyk, Mihaela van der Schaar
2024	A*	`conf`	Towards Transparent Time Series Forecasting. ICLR Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar
2023	J	`jnl`	Causal Deep Learning. CoRR Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2023	A*	`conf`	D-CIPHER: Discovery of Closed-form Partial Differential Equations. NeurIPS Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	D-CIPHER: Discovery of Closed-form PDEs. CoRR Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2022	A*	`conf`	D-CODE: Discovering Closed-form ODEs from Observed Trajectories. ICLR Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar
2022	J	`jnl`	Navigating causal deep learning. CoRR Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2021	J	`jnl`	Privacy-preserving Object Detection. CoRR Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki Markus Asano