Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
Published in ICLR, 2022
Recommended citation: Qian, Z., Kacprzyk, K., & van der Schaar, M. (2022) D-CODE: Discovering Closed-form ODEs from Observed Trajectories. International Conference on Learning Representations.
D-CIPHER: Discovery of Closed-Form Partial Differential Equations
Published in NeurIPS, 2023
Recommended citation: Kacprzyk, K., Qian, Z., & van der Schaar, M. (2023). D-CIPHER: Discovery of Closed-Form Partial Differential Equations. The Thirty-seventh Conference on Neural Information Processing Systems.
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
Published in ICLR, 2024
Recommended citation: Kacprzyk*, K., Holt*, S., Berrevoets*, J., Qian, Z., & van der Schaar, M. (2024) ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. International Conference on Learning Representations.
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations
Published in AISTATS, 2024
Recommended citation: Kacprzyk, K., & van der Schaar, M. (2024). Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. International Conference on Artificial Intelligence and Statistics. PMLR.
Towards Transparent Time Series Forecasting
Published in ICLR, 2024
Recommended citation: Kacprzyk, K., Liu, T., & van der Schaar, M. (2024) Towards Transparent Time Series Forecasting. International Conference on Learning Representations.
Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality
Published in Foundations and Trends® in Signal Processing, 2024
Recommended citation: Berrevoets, J., Kacprzyk, K., Qian, Z., & van der Schaar, M. (2024). Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. Foundations and Trends® in Signal Processing, 18(3), 200-309.
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
Published in NeurIPS, 2024
Recommended citation: Rauba, P., Seedat, N., Kacprzyk, K., & van der Schaar, M. Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. The Thirty-eighth Annual Conference on Neural Information Processing Systems.
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs
Published in ICLR, 2025
Recommended citation: Kacprzyk, K., & van der Schaar, M. (2025). No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs. International Conference on Learning Representations.
Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression
Published in AISTATS, 2025
Recommended citation: Kacprzyk, K., & van der Schaar, M. (2025). Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression. International Conference on Artificial Intelligence and Statistics. PMLR.
talks
Inspiration Exchange - Discovery Using ML
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AI&A Journal Club
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Inspiration Exchange - Causal Deep Learning
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UCL AI Society’s Journal Club Event
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The New Frontier in Machine Learning
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The New Frontier in Machine Learning
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Online Causal Inference Seminar
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CCAIM Summer School: AI for Science
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.