Zobrazeno 1 - 10
of 30 892
pro vyhledávání: '"P Schuster"'
In autonomous driving, environment perception has significantly advanced with the utilization of deep learning techniques for diverse sensors such as cameras, depth sensors, or infrared sensors. The diversity in the sensor stack increases the safety
Externí odkaz:
http://arxiv.org/abs/2411.17610
Large language models (LLMs) are the foundation of the current successes of artificial intelligence (AI), however, they are unavoidably biased. To effectively communicate the risks and encourage mitigation efforts these models need adequate and intui
Externí odkaz:
http://arxiv.org/abs/2411.16527
The increasing capabilities of deep neural networks for re-identification, combined with the rise in public surveillance in recent years, pose a substantial threat to individual privacy. Event cameras were initially considered as a promising solution
Externí odkaz:
http://arxiv.org/abs/2411.16440
Autor:
Kobrin, Bryce, Schuster, Thomas, Block, Maxwell, Wu, Weijie, Mitchell, Bradley, Davis, Emily, Yao, Norman Y.
We introduce a novel protocol, which enables Heisenberg-limited quantum-enhanced sensing using the dynamics of any interacting many-body Hamiltonian. Our approach - dubbed butterfly metrology - utilizes a single application of forward and reverse tim
Externí odkaz:
http://arxiv.org/abs/2411.12794
Large Language Models (LLMs) are rapidly transforming various fields, and their potential in Business Process Management (BPM) is substantial. This paper assesses the capabilities of LLMs on business process modeling using a framework for automating
Externí odkaz:
http://arxiv.org/abs/2412.00023
Manipulating the electromagnetic spectrum at the single-photon level is fundamental for quantum experiments. In the visible and infrared range, this can be accomplished with atomic quantum emitters, and with superconducting qubits such control is ext
Externí odkaz:
http://arxiv.org/abs/2411.11170
Autor:
Gerhardt, Deborah, Marcowitz-Bitton, Miriam, Schuster, W. Michael, Elmalech, Avshalom, Suissa, Omri, Mash, Moshe
Text is a vehicle to convey information that reflects the writer's linguistic style and communicative patterns. By studying these attributes, we can discover latent insights about the author and their underlying message. This article uses such an app
Externí odkaz:
http://arxiv.org/abs/2411.08526
We propose a quantum error mitigation scheme for single-qubit measurement errors, particularly suited for one-way quantum computation. Contrary to well established error mitigation methods for circuit-based quantum computation, that require to run th
Externí odkaz:
http://arxiv.org/abs/2411.09084
Human understanding of language is robust to different word choices as far as they represent similar semantic concepts. To what extent does our human intuition transfer to language models, which represent all subwords as distinct embeddings? In this
Externí odkaz:
http://arxiv.org/abs/2411.04530
We prove an existence result for the steady state flow of gas mixtures on networks. The basis of the model are the physical principles of the isothermal Euler equation, coupling conditions for the flow and pressure, and the mixing of incoming flow at
Externí odkaz:
http://arxiv.org/abs/2411.03841