LAIV PhD students at FOMLAS’22 and FLOC’22

Many congratulations to LAIV PhD students and researchers, who will present their work at FOMLAS’22, as part of the FLOC’22 conference:

Matthew Daggitt, Wen Kokke, Robert Atkey, Luca Arnaboldi and Ekaterina Komendantskaya: Vehicle: A High-Level Language for Embedding Logical Specifications in Neural Networks

Natalia Ślusarz, Ekaterina Komendantskaya, Matthew Daggitt and Robert Stewart: Differentiable Logics for Neural Network Verification

Marco Casadio, Ekaterina Komendantskaya, Verena Rieser, Matthew Daggitt, Daniel Kienitz, Luca Arnaboldi and Wen Kokke: Why Robust Natural Language Understanding is a Challenge

Remi Desmartin, Grant Passmore and Ekaterina Komendantskaya: Neural Networks in Imandra: Matrix Representation as a Verification Choice

CAV’22 contribution

Many congratulations to Marco Casadio et al for having a paper accepted at the international conference on Computer-Aided Verification CAV’22 (Part of FLOC’22). Marco Casadio, Ekaterina Komendantskaya, Matthew L. Daggitt, Wen Kokke, Guy Katz, Guy Amir and Idan Refaeli: “Neural Network Robustness as a Verification Property: A Principled Case Study”

AAAI’22 Success

HAPPY news, the paper by LAIV PhD student Daniel Kienitz et co The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning has been accepted to the AAAI’22. It is a great success, and totally deserved! Many congratulations, Daniel!

MSc student success

LAIV MSc students Michael, Remi and Dan all got high As for their dissertations. Remi in addition received the best MSc dissertation award -2021! Many congratulations to all!