Zobrazeno 1 - 10
of 141 702
pro vyhledávání: '"Julius, A. A."'
Autor:
Tian, Mo, Rafique, Md Zubair Ebne, Chidambaranathan, Kolappan, Brost, Randy, Small, Daniel, Novick, David, Yellowhair, Julius, Yao, Yu
The soiling level of heliostat mirrors in Concentrated Solar Power (CSP) fields is one of the key factors that significantly influences optical efficiency. State-of-the-art methods of monitoring heliostats soiling levels have limitations such as slow
Externí odkaz:
http://arxiv.org/abs/2501.01643
Autor:
Hirlinger-Alexander, Jakob, Scharwaechter, Michael, Bader, Franzisca, Steck, Julius, Seibild, Matthias, Werner, Marco, Bek, Roman, Kahle, Hermann
We demonstrate the first microchip semiconductor membrane external-cavity surface-emitting laser. This compact type of laser consists solely of a semiconductor gain region present as a micron-thin membrane, sandwiched between two transparent heat spr
Externí odkaz:
http://arxiv.org/abs/2501.01916
The proliferation of wearable sensors and monitoring technologies has created an urgent need for standardized sensor placement protocols. While existing standards like SENIAM address specific applications, no comprehensive framework spans different s
Externí odkaz:
http://arxiv.org/abs/2412.21159
Autor:
Sun, Huawei, Vysotskaya, Nastassia, Sukianto, Tobias, Feng, Hao, Ott, Julius, Peng, Xiangyuan, Servadei, Lorenzo, Wille, Robert
Recently, radar-camera fusion algorithms have gained significant attention as radar sensors provide geometric information that complements the limitations of cameras. However, most existing radar-camera depth estimation algorithms focus solely on imp
Externí odkaz:
http://arxiv.org/abs/2412.16380
This paper addresses the question of whether or not uncoupled online learning algorithms converge to the Nash equilibrium in pricing competition or whether they can learn to collude. Algorithmic collusion has been debated among competition regulators
Externí odkaz:
http://arxiv.org/abs/2412.15707
Autor:
Frieder, Simon, Bayer, Jonas, Collins, Katherine M., Berner, Julius, Loader, Jacob, Juhász, András, Ruehle, Fabian, Welleck, Sean, Poesia, Gabriel, Griffiths, Ryan-Rhys, Weller, Adrian, Goyal, Anirudh, Lukasiewicz, Thomas, Gowers, Timothy
The suite of datasets commonly used to train and evaluate the mathematical capabilities of AI-based mathematical copilots (primarily large language models) exhibit several shortcomings. These limitations include a restricted scope of mathematical com
Externí odkaz:
http://arxiv.org/abs/2412.15184
Autor:
Busse, Julius
Motivated by a recent publication by Ishiwata and Nakata (2022), we prove that sufficiently regular stochastic delay differential equations (SDDEs) with a single discrete delay have blow up solutions if and only if their undelayed counterparts have t
Externí odkaz:
http://arxiv.org/abs/2412.13383
Autor:
de Payrebrune, Kristin M., Flaßkamp, Kathrin, Ströhla, Tom, Sattel, Thomas, Bestle, Dieter, Röder, Benedict, Eberhard, Peter, Peitz, Sebastian, Stoffel, Marcus, Rutwik, Gulakala, Aditya, Borse, Wohlleben, Meike, Sextro, Walter, Raff, Maximilian, Remy, C. David, Yadav, Manish, Stender, Merten, van Delden, Jan, Lüddecke, Timo, Langer, Sabine C., Schultz, Julius, Blech, Christopher
Artificial intelligence (AI) is driving transformative changes across numerous fields, revolutionizing conventional processes and creating new opportunities for innovation. The development of mechatronic systems is undergoing a similar transformation
Externí odkaz:
http://arxiv.org/abs/2412.12230
Autor:
Kossaifi, Jean, Kovachki, Nikola, Li, Zongyi, Pitt, David, Liu-Schiaffini, Miguel, George, Robert Joseph, Bonev, Boris, Azizzadenesheli, Kamyar, Berner, Julius, Anandkumar, Anima
We present NeuralOperator, an open-source Python library for operator learning. Neural operators generalize neural networks to maps between function spaces instead of finite-dimensional Euclidean spaces. They can be trained and inferenced on input an
Externí odkaz:
http://arxiv.org/abs/2412.10354
Non-Abelian gauge theories underlie our understanding of fundamental forces of modern physics. Simulating them on quantum hardware is an outstanding challenge in the rapidly evolving field of quantum simulation. A key prerequisite is the protection o
Externí odkaz:
http://arxiv.org/abs/2412.07844