Zobrazeno 1 - 10
of 32 273
pro vyhledávání: '"Hafner AS"'
Autor:
Hafner, Flavio, Sun, Chang
Synthetic data generators, when trained using privacy-preserving techniques like differential privacy, promise to produce synthetic data with formal privacy guarantees, facilitating the sharing of sensitive data. However, it is crucial to empirically
Externí odkaz:
http://arxiv.org/abs/2411.12451
Human perception is inherently multimodal. We integrate, for instance, visual, proprioceptive and tactile information into one experience. Hence, multimodal learning is of importance for building robotic systems that aim at robustly interacting with
Externí odkaz:
http://arxiv.org/abs/2411.00522
Diffusion models and flow-matching models have enabled generating diverse and realistic images by learning to transfer noise to data. However, sampling from these models involves iterative denoising over many neural network passes, making generation
Externí odkaz:
http://arxiv.org/abs/2410.12557
Autor:
Khanenko, P., Hafner, D., Semeniuk, K., Banda, J., Luehmann, T., Baertl, F., Kotte, T., Wosnitza, J., Zwicknagl, G., Geibel, C., Landaeta, J. F., Khim, S., Hassinger, E., Brando, M.
Unconventional superconductivity in heavy-fermion systems appears often near magnetic quantum critical points (QCPs). This seems to be the case also for CeRh2As2 (Tc $\approx$ 0.31 K). CeRh2As2 shows two superconducting (SC) phases, SC1 and SC2, for
Externí odkaz:
http://arxiv.org/abs/2409.11894
Autor:
Bauza, Maria, Chen, Jose Enrique, Dalibard, Valentin, Gileadi, Nimrod, Hafner, Roland, Martins, Murilo F., Moore, Joss, Pevceviciute, Rugile, Laurens, Antoine, Rao, Dushyant, Zambelli, Martina, Riedmiller, Martin, Scholz, Jon, Bousmalis, Konstantinos, Nori, Francesco, Heess, Nicolas
We present DemoStart, a novel auto-curriculum reinforcement learning method capable of learning complex manipulation behaviors on an arm equipped with a three-fingered robotic hand, from only a sparse reward and a handful of demonstrations in simulat
Externí odkaz:
http://arxiv.org/abs/2409.06613
Urbanization advances at unprecedented rates, resulting in negative effects on the environment and human well-being. Remote sensing has the potential to mitigate these effects by supporting sustainable development strategies with accurate information
Externí odkaz:
http://arxiv.org/abs/2406.17458
Publikováno v:
Proceedings of the ChainScience 2024 Conference
This paper examines the economic and security implications of Proof-of-Stake (POS) designs, providing a survey of POS design choices and their underlying economic principles in prominent POS-blockchains. The paper argues that POS-blockchains are esse
Externí odkaz:
http://arxiv.org/abs/2405.14617
Autor:
Müller, Matthias, Brahmbhatt, Samarth, Deka, Ankur, Leboutet, Quentin, Hafner, David, Koltun, Vladlen
We introduce OpenBot-Fleet, a comprehensive open-source cloud robotics system for navigation. OpenBot-Fleet uses smartphones for sensing, local compute and communication, Google Firebase for secure cloud storage and off-board compute, and a robust ye
Externí odkaz:
http://arxiv.org/abs/2405.07515
As AI promises to accelerate scientific discovery, it remains unclear whether fully AI-driven research is possible and whether it can adhere to key scientific values, such as transparency, traceability and verifiability. Mimicking human scientific pr
Externí odkaz:
http://arxiv.org/abs/2404.17605
Autor:
Hafner, Benjamin, Meyer, Katherine
Dispersal of propagules (seeds, spores) from a geographically isolated population into an uninhabitable matrix can threaten population persistence if it prevents new growth from keeping pace with mortality. Quantifying propagule loss can thus inform
Externí odkaz:
http://arxiv.org/abs/2404.09947