van der Schaar Lab

2023 open house – showcasing the lab’s vision and leadership

The van der Schaar Lab’s 2023 open house took place on 2 November as a by-invitation event for collaborators and sponsors. Mihaela van der Schaar and members of the lab presented a cohesive vision for a new machine learning paradigm – called Reality-Centric AI – aimed at developing cutting-edge machine learning which is human empowering rather than marginalising, while demonstrating how this vision is already becoming reality through a range of world-leading research projects in healthcare.

The full event consisted of 8 short mini-seminars given by lab members, focusing on projects or areas grouped around our core agenda: The Road to Reality-Centric AI.

Structure of the Open House

All mini-seminars (as well as Mihaela’s introductory presentation) are provided in full below. All reference material is provided with QR codes inside the video. The Q&A/discussion breaks between sessions are not included.

You can also view the video on YouTube here.

Recording of the Open House 2023

In a short introductory presentation, Mihaela van der Schaar outlines the lab’s ongoing vision and research focus, shares some key resources and reference material, and explains our ongoing focus on reality-centric AI and Human Empowerment. This is then followed by the mini-seminars presented by our researchers.

Related links:
– Our case for Reality-Centric AI
Publications page
– Our contributions for NeurIPS 2023
– Our contributions for ICML 2023
– Our contributions for ICLR and AISTATS 2023
– Engagement sessions – Inspiration Exchange and Revolutionizing Healthcare
– Video tutorial series on ITE inference
– IJCAI 2023 tutorial on Data-Centric AI
– AAAI 2023 tutorial on Data-Centric AI
– NeurIPS 2023 tutorial on Data-Centric AI for reliable and responsible AI
– NeurIPS 2023 workshop on Synthetic Data
Impact page
Software page, GitHub repo, and PyPi project page

To find out more about the van der Schaar Lab’s research team, click here. Our publications are available here.

To inquire about PhD studentships, visit this page.

Andreas Bedorf