Evenementen 2022

Deep Learning for Tomographic Reconstruction with Limited Data

Everyone is welcome to attend the next N&O seminar with Samarth Tiwari with the title 'Hide & Seek: Privacy-Preserving Rebalancing on Payment Channel Networks'.

Neural networks were originally introduced in 1943 by McCulloch and Pitts as an approach to develop learning algorithms by mimicking the human brain. The key goal at that time was the introduction of a theory of artificial intelligence. However, the limited amount of data and the lack of high performance computers made the training of deep neural networks, i.e., networks with many layers, unfeasible.

Laura Scarabosio (Radboud University): Deep neural network surrogates for transmission problems with geometric uncertainties

We organize top-quality lectures on EAs with world-renowned speakers, local researchers, and PhD students: Arkadiy Dushatskiy and Matteo de Carlo.

This new seminar series aims to bring together mathematics and CS researchers from the Netherlands and internationally, working on analytical techniques for next-generation energy systems. On 23 February, Alessandro Zocca (VU Amsterdam) will talk about 'Improving Power Systems Reliability Via Adaptive Grid Partitioning'.

Counterfactual explanations: A bird-eye view; On Strings Having the Same Length-k Substrings

Computational Investigations of Streamers: From Input Cross Sections to Evolution of Plasma Species