1 code implementation • 9 Feb 2024 • Florian Peter Busch, Roshni Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt
A dataset is confounded if it is most easily solved via a spurious correlation which fails to generalize to new data.
1 code implementation • 7 Feb 2024 • Roshni Kamath, Rupert Mitchell, Subarnaduti Paul, Kristian Kersting, Martin Mundt
The quest to improve scalar performance numbers on predetermined benchmarks seems to be deeply engraved in deep learning.
1 code implementation • 10 Jul 2023 • Rupert Mitchell, Robin Menzenbach, Kristian Kersting, Martin Mundt
The results of training a neural network are heavily dependent on the architecture chosen; and even a modification of only its size, however small, typically involves restarting the training process.
no code implementations • 1 Dec 2020 • Rupert Mitchell, Jan Blumenkamp, Amanda Prorok
In this paper, we consider the problem of providing robustness to adversarial communication in multi-agent systems.
no code implementations • 26 Nov 2019 • Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok
In this article, we present a safe and efficient framework that enables the learning of driving policies for autonomous vehicles operating in a shared workspace, where the absence of collisions cannot be guaranteed.