Zobrazeno 1 - 10
of 41 345
pro vyhledávání: '"A P, Schroeder"'
While behavioural equivalences among systems of the same type, such as Park/Milner bisimilarity of labelled transition systems, are an established notion, a systematic treatment of relationships between systems of different type is currently missing.
Externí odkaz:
http://arxiv.org/abs/2410.14460
Generic notions of bisimulation for various types of systems (nondeterministic, probabilistic, weighted etc.) rely on identity-preserving (normal) lax extensions of the functor encapsulating the system type, in the paradigm of universal coalgebra. It
Externí odkaz:
http://arxiv.org/abs/2410.14440
This work presents a novel lattice-based methodology for incorporating multidimensional constraints into continuous decision variables within a genetic algorithm (GA) framework. The proposed approach consolidates established transcription techniques
Externí odkaz:
http://arxiv.org/abs/2410.12188
Selecting cost-effective optimal sensor configurations for subsequent inference of parameters in black-box stochastic systems faces significant computational barriers. We propose a novel and robust approach, modelling the joint distribution over inpu
Externí odkaz:
http://arxiv.org/abs/2410.12036
Autor:
Schweisthal, Jonas, Frauen, Dennis, Schröder, Maresa, Hess, Konstantin, Kilbertus, Niki, Feuerriegel, Stefan
Reliable estimation of treatment effects from observational data is important in many disciplines such as medicine. However, estimation is challenging when unconfoundedness as a standard assumption in the causal inference literature is violated. In t
Externí odkaz:
http://arxiv.org/abs/2410.08976
Sparse autoencoders (SAEs) are a recent technique for decomposing neural network activations into human-interpretable features. However, in order for SAEs to identify all features represented in frontier models, it will be necessary to scale them up
Externí odkaz:
http://arxiv.org/abs/2410.08201
A key challenge in interpretability is to decompose model activations into meaningful features. Sparse autoencoders (SAEs) have emerged as a promising tool for this task. However, a central problem in evaluating the quality of SAEs is the absence of
Externí odkaz:
http://arxiv.org/abs/2410.07456
The rapid proliferation of AI-manipulated or generated audio deepfakes poses serious challenges to media integrity and election security. Current AI-driven detection solutions lack explainability and underperform in real-world settings. In this paper
Externí odkaz:
http://arxiv.org/abs/2410.07436
Autor:
Shi, Lei, Schröder, Markus, Meyer, Hans-Dieter, Pelaez, Daniel, Wodtke, Alec M., Golibrzuch, Kai, Schönemann, Anna-Maria, Kandratsenka, Alexander, Gatti, Fabien
This study deals with the understanding of hydrogen atom scattering from graphene, a process critical for exploring C-H bond formation and energy transfer during the atom surface collision. In our previous work (J.Chem.Phys \textbf{159}, 194102, (202
Externí odkaz:
http://arxiv.org/abs/2410.07246
Autor:
Mathew, Yohan, Matthews, Ollie, McCarthy, Robert, Velja, Joan, de Witt, Christian Schroeder, Cope, Dylan, Schoots, Nandi
The rapid proliferation of frontier model agents promises significant societal advances but also raises concerns about systemic risks arising from unsafe interactions. Collusion to the disadvantage of others has been identified as a central form of u
Externí odkaz:
http://arxiv.org/abs/2410.03768