Krzysztof Kacprzyk

According to our database, Krzysztof Kacprzyk authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs.

Krzysztof Kacprzyk, Mihaela van der Schaar

CoRR, January, 2025

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

Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments.

Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Transparent Time Series Forecasting.

Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference.

Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations.

Krzysztof Kacprzyk, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Causal Deep Learning.

Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

CoRR, 2023

D-CIPHER: Discovery of Closed-form Partial Differential Equations.

Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Navigating causal deep learning.

Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

CoRR, 2022

D-CIPHER: Discovery of Closed-form PDEs.

Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

CoRR, 2022

D-CODE: Discovering Closed-form ODEs from Observed Trajectories.

Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Privacy-preserving Object Detection.

Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki Markus Asano

CoRR, 2021