Zobrazeno 1 - 10
of 79 861
pro vyhledávání: '"Krueger A"'
Autor:
Krüger, Torben, Renfrew, David
The Novikov-Shubin invariant associated to a graph provides information about the accumulation of eigenvalues of the corresponding adjacency matrix close to the origin. For a directed graph these eigenvalues lie in the complex plane and having a fini
Externí odkaz:
http://arxiv.org/abs/2411.10311
Developing physics-based models for molecular simulation requires fitting many unknown parameters to experimental datasets of diverse properties. Fitting such diverse data is typically carried out piecemeal, resulting in a "zoo" of disconnected but h
Externí odkaz:
http://arxiv.org/abs/2411.09216
A key objective of interpretability research on large language models (LLMs) is to develop methods for robustly steering models toward desired behaviors. To this end, two distinct approaches to interpretability -- ``bottom-up" and ``top-down" -- have
Externí odkaz:
http://arxiv.org/abs/2411.07213
Autor:
Tricot, S., Ikeda, H., Tchouekem, H. -C., Breton, J. -C. Le, Yasuda, S., Krüger, P., Fèvre, P. Le, Sébilleau, D., Jaouen, T., Schieffer, P.
Photoelectron diffraction (PED) is a powerful spectroscopic technique that combines elemental resolution with a high sensitivity to the local atomic arrangement at crystal surfaces, thus providing unique fingerprints of selected atomic sites in matte
Externí odkaz:
http://arxiv.org/abs/2411.05581
Transformers have demonstrated remarkable in-context learning capabilities across various domains, including statistical learning tasks. While previous work has shown that transformers can implement common learning algorithms, the adversarial robustn
Externí odkaz:
http://arxiv.org/abs/2411.05189
Zero-shot coordination (ZSC) is a popular setting for studying the ability of reinforcement learning (RL) agents to coordinate with novel partners. Prior ZSC formulations assume the $\textit{problem setting}$ is common knowledge: each agent knows the
Externí odkaz:
http://arxiv.org/abs/2411.04976
Autor:
Krüger, C. J., Sotani, H.
We investigate shear and interface modes excited in neutron stars with an elastic crust in the full general relativistic framework and compare them to the results obtained within the relativistic Cowling approximation. We observe that the Cowling app
Externí odkaz:
http://arxiv.org/abs/2411.03940
One core aspect of immersive visualization labs is to develop and provide powerful tools and applications that allow for efficient analysis and exploration of scientific data. As the requirements for such applications are often diverse and complex, t
Externí odkaz:
http://arxiv.org/abs/2411.02090
In this paper, we propose an approach that combines Vision Language Models (VLMs) and Behavior Trees (BTs) to address failures in robotics. Current robotic systems can handle known failures with pre-existing recovery strategies, but they are often il
Externí odkaz:
http://arxiv.org/abs/2411.01568
Sparse Autoencoders (SAEs) have shown promise in improving the interpretability of neural network activations, but can learn features that are not features of the input, limiting their effectiveness. We propose \textsc{Mutual Feature Regularization}
Externí odkaz:
http://arxiv.org/abs/2411.01220