Krzysztof Kacprzyk

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Maximum Likelihood Estimates

Closed Form Solutions

Differential Equations

Top Venues

Found. Trends Signal Process.

Publications

Krzysztof Kacprzyk, Mihaela van der Schaar
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. AISTATS (2024)
Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar
Towards Transparent Time Series Forecasting. ICLR (2024)
Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. Found. Trends Signal Process. 18 (3) (2024)
Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. ICLR (2024)
Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. CoRR (2024)
Krzysztof Kacprzyk, Mihaela van der Schaar
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. CoRR (2024)
Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
Causal Deep Learning. CoRR (2023)
Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
D-CIPHER: Discovery of Closed-form Partial Differential Equations. NeurIPS (2023)
Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar
D-CODE: Discovering Closed-form ODEs from Observed Trajectories. ICLR (2022)
Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
D-CIPHER: Discovery of Closed-form PDEs. CoRR (2022)
Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
Navigating causal deep learning. CoRR (2022)
Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki Markus Asano
Privacy-preserving Object Detection. CoRR (2021)