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dla studentów, dla instytucji naukowych
17.04.2024 12:00 pm - 17.04.2024 1:00 pm

Zapraszamy na otwarte seminarium naukowe nt. Tree Based Search for Self-Driving Virtual Labs, które poprowadzi prof. Stefan Bauer.

Seminarium odbędzie się 17 kwietnia 2024 o godzinie 12.00 w sali konferencyjnej IDEAS NCBR oraz online.


A tremendous range of design tasks in materials, physics, and biology can be formulated as finding the optimum of an objective function. We present a tree based search method for derivative-free optimization that enables accelerated optimal design of high-dimensional complex systems. Our method demonstrates applicability to a wide range of real-world complex systems spanning materials, physics, and biology, considerably outperforming state-of-the-art algorithms. This enables efficient autonomous knowledge discovery and opens the door towards scalable self-driving virtual laboratories.


Stefan Bauer is currently an associate professor at TU Munich and senior PI at Helmholtz AI. The research group is one of the few worldwide, which is successfully working on the intersection of causality and deep learning not only in simulation but in concrete real-world downstream tasks. The work is regularly published at top machine learning conferences NeurIPS, ICML (best paper award), ICLR as well as in PNAS or Science and recognized through a CIFAR Azrieli Global Scholar Fellowship and significant international media coverage e.g. in MIT Technology Review, The Royal Chemical Society, El País or IEEE Spectrum.


Zachęcamy do udziału w wydarzeniu stacjonarnie. Możliwy jest też udział przez platformę Zoom. Prosimy o wiadomość mailową na adres z podaniem imienia, nazwiska i afiliacji.

Meeting ID: 885 9877 0279

Passcode: 847914

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