Zobrazeno 1 - 10
of 26 007
pro vyhledávání: '"A. Rohr"'
Diffusion models have recently gained popularity for policy learning in robotics due to their ability to capture high-dimensional and multimodal distributions. However, diffusion policies are inherently stochastic and typically trained offline, limit
Externí odkaz:
http://arxiv.org/abs/2412.09342
Autor:
Ma, KeYuan, Plokhikh, I., Graham, J. N., Mielke III, C., Sazgari, V., Nakamura, H., Islam, S. S., Shin, S., Kral, P., Gerguri, O., Luetkens, H., von Rohr, F. O., Yin, J. -X., Pomjakushina, E., Felser, C., Nakatsuji, S., Wehinger, B., Gawryluk, D. J., Medvedev, S., Guguchia, Z.
The interplay between superconductivity and charge order is a central focus in condensed matter research, with kagome lattice systems offering unique insights. The kagome superconductor LaRu$_{3}$Si$_{2}$ ($T_{\rm c}$ ${\simeq}$ 6.5 K) exhibits a hie
Externí odkaz:
http://arxiv.org/abs/2412.05459
Autor:
Straub, M., Petocchi, F., Witteveen, C., Kugler, F. B., Hunter, A., Alexanian, Y., Gatti, G., Mandloi, S., Polley, C., Carbone, G., Osiecki, J., von Rohr, F. O., Georges, A., Baumberger, F., Tamai, A.
We study the electronic structure of bulk 1T-TaSe$_2$ in the charge density wave phase at low temperature. Our spatially and angle resolved photoemission (ARPES) data show insulating areas coexisting with metallic regions characterized by a chiral Fe
Externí odkaz:
http://arxiv.org/abs/2411.18205
Publikováno v:
von Rohr, Alexander, Stenger, David, Scheurenberg, Dominik and Trimpe, Sebastian. "Local Bayesian optimization for controller tuning with crash constraints" at - Automatisierungstechnik, vol. 72, no. 4, 2024, pp. 281-292
Controller tuning is crucial for closed-loop performance but often involves manual adjustments. Although Bayesian optimization (BO) has been established as a data-efficient method for automated tuning, applying it to large and high-dimensional search
Externí odkaz:
http://arxiv.org/abs/2411.16267
How can robots learn and adapt to new tasks and situations with little data? Systematic exploration and simulation are crucial tools for efficient robot learning. We present a novel black-box policy search algorithm focused on data-efficient policy i
Externí odkaz:
http://arxiv.org/abs/2411.14246
Autor:
Rohr, Maurice, Dill, Sebastian
Depth cameras are an interesting modality for capturing vital signs such as respiratory rate. Plenty approaches exist to extract vital signs in a controlled setting, but in order to apply them more flexibly for example in multi-camera settings, a sim
Externí odkaz:
http://arxiv.org/abs/2411.10081
Autor:
Wenger, Anja, Consiglio, Armando, Hohmann, Hendrik, Dürrnagel, Matteo, von Rohr, Fabian O., Scammell, Harley D., Ingham, Julian, Di Sante, Domenico, Thomale, Ronny
Kagome metals have established a new arena for correlated electron physics. To date, the predominant experimental evidence centers around unconventional charge order, nematicity, and superconductivity, while magnetic fluctuations due to electronic in
Externí odkaz:
http://arxiv.org/abs/2411.03563
Autor:
Rohr, Eric, Pillepich, Annalisa, Nelson, Dylan, Ayromlou, Mohammadreza, Péroux, Céline, Zinger, Elad
The intracluster medium (ICM) today is comprised largely of hot gas with clouds of cooler gas of unknown origin and lifespan. We analyze the evolution of cool gas (temperatures $\lesssim10^{4.5}$ K) in the ICM of 352 galaxy clusters from the TNG-Clus
Externí odkaz:
http://arxiv.org/abs/2410.19900
Deep Reinforcement Learning (DRL) in simulation often results in brittle and unrealistic learning outcomes. To push the agent towards more desirable solutions, prior information can be injected in the learning process through, for instance, reward sh
Externí odkaz:
http://arxiv.org/abs/2410.03246
Autor:
Röseler, Kai D., Witteveen, Catherine, Besnard, Céline, Pomjakushin, Vladimir, Jeschke, Harald O., von Rohr, Fabian O.
We herein report on a fast and convenient soft-chemical synthesis approach towards large 1T-CrTe2 van-der-Waals crystals. This compound is formed X-ray diffraction pure, with a complete conversion within just over 2 h from flux-grown LiCrTe2 crystals
Externí odkaz:
http://arxiv.org/abs/2408.06239