Zobrazeno 1 - 10
of 6 572
pro vyhledávání: '"A Schönberger"'
According to the Strong Lottery Ticket Hypothesis, every sufficiently large neural network with randomly initialized weights contains a sub-network which - still with its random weights - already performs as well for a given task as the trained super
Externí odkaz:
http://arxiv.org/abs/2411.04658
Autor:
Nayak, Nitin, Schönberger, Manuel, Uotila, Valter, Yan, Zhengtong, Groppe, Sven, Lu, Jiaheng, Mauerer, Wolfgang
Quantum annealing is a meta-heuristic approach tailored to solve combinatorial optimization problems with quantum annealers. In this tutorial, we provide a fundamental and comprehensive introduction to quantum annealing and modern data management sys
Externí odkaz:
http://arxiv.org/abs/2411.04638
Autor:
Liu, Shaohui, Gao, Yidan, Zhang, Tianyi, Pautrat, Rémi, Schönberger, Johannes L., Larsson, Viktor, Pollefeys, Marc
Structure-from-Motion (SfM) has become a ubiquitous tool for camera calibration and scene reconstruction with many downstream applications in computer vision and beyond. While the state-of-the-art SfM pipelines have reached a high level of maturity i
Externí odkaz:
http://arxiv.org/abs/2409.19811
Autor:
Altmann, Philipp, Schönberger, Julian, Illium, Steffen, Zorn, Maximilian, Ritz, Fabian, Haider, Tom, Burton, Simon, Gabor, Thomas
Emergent effects can arise in multi-agent systems (MAS) where execution is decentralized and reliant on local information. These effects may range from minor deviations in behavior to catastrophic system failures. To formally define these effects, we
Externí odkaz:
http://arxiv.org/abs/2408.04514
Recovering 3D structure and camera motion from images has been a long-standing focus of computer vision research and is known as Structure-from-Motion (SfM). Solutions to this problem are categorized into incremental and global approaches. Until now,
Externí odkaz:
http://arxiv.org/abs/2407.20219
Autor:
Webb, Lynette, Schönberger, Daniel
Ever since the launch of ChatGPT, Generative AI has been a focal point for concerns about AI's perceived existential risk. Once a niche topic in AI research and philosophy, AI safety and existential risk has now entered mainstream debate among policy
Externí odkaz:
http://arxiv.org/abs/2407.13365
Autor:
Wille, Robert, Berent, Lucas, Forster, Tobias, Kunasaikaran, Jagatheesan, Mato, Kevin, Peham, Tom, Quetschlich, Nils, Rovara, Damian, Sander, Aaron, Schmid, Ludwig, Schönberger, Daniel, Stade, Yannick, Burgholzer, Lukas
Quantum computers are becoming a reality and numerous quantum computing applications with a near-term perspective (e.g., for finance, chemistry, machine learning, and optimization) and with a long-term perspective (e.g., for cryptography or unstructu
Externí odkaz:
http://arxiv.org/abs/2405.17543
This work revolves around the rigorous asymptotic analysis of models in nonlocal hyperelasticity. The corresponding variational problems involve integral functionals depending on nonlocal gradients with a finite interaction range $\delta$, called the
Externí odkaz:
http://arxiv.org/abs/2404.18509
We address the study of nonlocal gradients defined through general radial kernels $\rho$. Our investigation focuses on the properties of the associated function spaces, which depend on the characteristics of the kernel function. Specifically, even wi
Externí odkaz:
http://arxiv.org/abs/2402.16487
Trapped-ion quantum computers exhibit promising potential to provide platforms for high-quality qubits and reliable quantum computation. The Quantum Charge Coupled Device (QCCD) architecture is a leading example that offers a modular solution to enab
Externí odkaz:
http://arxiv.org/abs/2402.14065