Zobrazeno 1 - 10
of 79 602
pro vyhledávání: '"A. KRUEGER"'
Autor:
T. Neff, A. Krueger
Publikováno v:
Electrochemistry Communications, Vol 167, Iss , Pp 107798- (2024)
Supercapacitors will play a crucial role in the future energy landscape due to their high power density and extended cycle stability. However, energy density tends to be relatively low, partly because of conventional heavy current collectors, also po
Externí odkaz:
https://doaj.org/article/2a8fd5869db147fa945d7d5710d9f4eb
Autor:
Mlodozeniec, Bruno, Eschenhagen, Runa, Bae, Juhan, Immer, Alexander, Krueger, David, Turner, Richard
Diffusion models have led to significant advancements in generative modelling. Yet their widespread adoption poses challenges regarding data attribution and interpretability. In this paper, we aim to help address such challenges in diffusion models b
Externí odkaz:
http://arxiv.org/abs/2410.13850
Autoencoders have been used for finding interpretable and disentangled features underlying neural network representations in both image and text domains. While the efficacy and pitfalls of such methods are well-studied in vision, there is a lack of c
Externí odkaz:
http://arxiv.org/abs/2410.11767
Machine learning has revolutionized the modeling of clinical timeseries data. Using machine learning, a Deep Neural Network (DNN) can be automatically trained to learn a complex mapping of its input features for a desired task. This is particularly v
Externí odkaz:
http://arxiv.org/abs/2410.09199
Probing coherent quantum dynamics in light-matter interactions at the microscopic level requires high-repetition-rate isolated attosecond pulses (IAPs) in pump-probe experiments. To date, the generation of IAPs has been mainly limited to the kilohert
Externí odkaz:
http://arxiv.org/abs/2410.09178
Preference learning is a central component for aligning current LLMs, but this process can be vulnerable to data poisoning attacks. To address this concern, we introduce PoisonBench, a benchmark for evaluating large language models' susceptibility to
Externí odkaz:
http://arxiv.org/abs/2410.08811
Autor:
Götz, Thomas, Krüger, Tyll, Niedzielewski, Karol, Pestow, Radomir, Schäfer, Moritz, Schneider, Jan
Publikováno v:
Entropy. 2024; 26(4):298
During the COVID-19 pandemic, it became evident that the effectiveness of applying intervention measures is significantly influenced by societal acceptance, which, in turn, is affected by the processes of opinion formation. This article explores one
Externí odkaz:
http://arxiv.org/abs/2410.08030
Autor:
Siddiqui, Shoaib Ahmed, Kossaifi, Jean, Bonev, Boris, Choy, Christopher, Kautz, Jan, Krueger, David, Azizzadenesheli, Kamyar
Despite tremendous progress in developing deep-learning-based weather forecasting systems, their design space, including the impact of different design choices, is yet to be well understood. This paper aims to fill this knowledge gap by systematicall
Externí odkaz:
http://arxiv.org/abs/2410.07472
Vision-Language Models (VLMs) are powerful tools for processing and understanding text and images. We study the processing of visual tokens in the language model component of LLaVA, a prominent VLM. Our approach focuses on analyzing the localization
Externí odkaz:
http://arxiv.org/abs/2410.07149
We investigate feature universality in large language models (LLMs), a research field that aims to understand how different models similarly represent concepts in the latent spaces of their intermediate layers. Demonstrating feature universality allo
Externí odkaz:
http://arxiv.org/abs/2410.06981