Zobrazeno 1 - 10
of 29 544
pro vyhledávání: '"Scholl, A"'
Autor:
Scholl, Stefan
Embedded spaces are a key feature in deep learning. Good embedded spaces represent the data well to support classification and advanced techniques such as open-set recognition, few-short learning and explainability. This paper presents a compact over
Externí odkaz:
http://arxiv.org/abs/2408.01767
Autor:
Scholl, Andreas, Kiesler, Natalie
This research paper contributes to the computing education research community's understanding of Generative AI (GenAI) in the context of introductory programming, and specifically, how students utilize related tools, such as ChatGPT. An increased und
Externí odkaz:
http://arxiv.org/abs/2407.20792
Autor:
Bieker, Katharina, Kussaba, Hugo Tadashi, Scholl, Philipp, Jung, Jaesug, Swikir, Abdalla, Haddadin, Sami, Kutyniok, Gitta
Many systems occurring in real-world applications, such as controlling the motions of robots or modeling the spread of diseases, are switched impulsive systems. To ensure that the system state stays in a safe region (e.g., to avoid collisions with ob
Externí odkaz:
http://arxiv.org/abs/2407.20084
In the past few years, there has been a growing significance of interactions between human workers and automated systems throughout the factory floor. Wherever static or mobile robots, such as automated guided vehicles, operate autonomously, a protec
Externí odkaz:
http://arxiv.org/abs/2407.15177
Autor:
Holland, Robbie, Taylor, Thomas R. P., Holmes, Christopher, Riedl, Sophie, Mai, Julia, Patsiamanidi, Maria, Mitsopoulou, Dimitra, Hager, Paul, Müller, Philip, Scholl, Hendrik P. N., Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Rueckert, Daniel, Sivaprasad, Sobha, Lotery, Andrew J., Menten, Martin J.
Clinicians spend a significant amount of time reviewing medical images and transcribing their findings regarding patient diagnosis, referral and treatment in text form. Vision-language models (VLMs), which automatically interpret images and summarize
Externí odkaz:
http://arxiv.org/abs/2407.08410
Autor:
Sha, Qutub Syed, Paulitsch, Michael, Pattabiraman, Karthik, Hagn, Korbinian, Oboril, Fabian, Buerkle, Cornelius, Scholl, Kay-Ulrich, Hinz, Gereon, Knoll, Alois
As transformer-based object detection models progress, their impact in critical sectors like autonomous vehicles and aviation is expected to grow. Soft errors causing bit flips during inference have significantly impacted DNN performance, altering pr
Externí odkaz:
http://arxiv.org/abs/2406.03229
Autor:
Syed, Qutub, Paulitsch, Michael, Hagn, Korbinian, Cihangir, Neslihan Kose, Scholl, Kay-Ulrich, Oboril, Fabian, Hinz, Gereon, Knoll, Alois
We introduce Situation Monitor, a novel zero-shot Out-of-Distribution (OOD) detection approach for transformer-based object detection models to enhance reliability in safety-critical machine learning applications such as autonomous driving. The Situa
Externí odkaz:
http://arxiv.org/abs/2406.03188
Large Language Models (LLMs) have taken the world by storm, and students are assumed to use related tools at a great scale. In this research paper we aim to gain an understanding of how introductory programming students chat with LLMs and related too
Externí odkaz:
http://arxiv.org/abs/2405.19132
Modern manufacturing is characterized by a high degree of automation, with autonomous systems also frequently being used. In such environments human intervention in the event of malfunctions or maintenance becomes a rare but also necessary task. When
Externí odkaz:
http://arxiv.org/abs/2405.14552
Autor:
Shaw, Adam L., Mark, Daniel K., Choi, Joonhee, Finkelstein, Ran, Scholl, Pascal, Choi, Soonwon, Endres, Manuel
Systems reaching thermal equilibrium are ubiquitous. For classical systems, this phenomenon is typically understood statistically through ergodicity in phase space, but translating this to quantum systems is a long-standing problem of interest. Recen
Externí odkaz:
http://arxiv.org/abs/2403.11971