Zobrazeno 1 - 10
of 55 281
pro vyhledávání: '"Vogel, A. P."'
Learning-based visual localization methods that use scene coordinate regression (SCR) offer the advantage of smaller map sizes. However, on datasets with complex illumination changes or image-level ambiguities, it remains a less robust alternative to
Externí odkaz:
http://arxiv.org/abs/2501.01421
Autor:
Vogel, Cornelia
We consider an isolated macroscopic quantum system in a pure state $\psi_t\in\mathcal{H}$ evolving unitarily in a separable Hilbert space $\mathcal{H}$. Following von Neumann [46], we assume that different macro states $\nu$ correspond to mutually or
Externí odkaz:
http://arxiv.org/abs/2412.16666
This paper presents a new approach to fine-tuning OpenAI's Whisper model for low-resource languages by introducing a novel data generation method that converts sentence-level data into a long-form corpus, using Swiss German as a case study. Non-sente
Externí odkaz:
http://arxiv.org/abs/2412.15726
Autor:
Mansourzadeh, Samira, Vogel, Tim, Omar, Alan, Biggs, Megan F., Ho, Enoch S. -H., Hoberg, Claudius, Michaelis, David J., Havenith, Martina, Johnson, Jeremy A., Saraceno, Clara J.
We present a high power and broadband THz-TDS setup utilizing the nonlinear organic crystal MNA both as emitter and detector. The THz source is based on optical rectification of near infra-red laser pulses at a central wavelength of 1036 nm from a co
Externí odkaz:
http://arxiv.org/abs/2412.15718
We define a Grothendieck ring of varieties for log schemes. It is generated by one additional class ``$P$'' over the usual Grothendieck ring. We show the na\"ive definition of log Hodge numbers does not make sense for all log schemes. We offer an alt
Externí odkaz:
http://arxiv.org/abs/2412.07715
Autor:
Candón, Francisco R., Fiorillo, Damiano F. G., Lucente, Giuseppe, Vitagliano, Edoardo, Vogel, Julia K.
Axions and other putative feebly interacting particles (FIPs) with a mass of tens to several hundreds of keVs can be produced in stellar cores with a Lorentz boost factor $E_a/m_a\lesssim 10$. Thus, starburst galaxies such as M82 are efficient factor
Externí odkaz:
http://arxiv.org/abs/2412.03660
Autor:
Schmidt, Paul Philip, Hartmann, Felix, Faber, Lea, Metzler, Ralf, Anders, Janet, Hoffmann-Vogel, Regina
Publikováno v:
Phys. Rev. B 110, 235422 (2024)
Pb on Si(111)-(7x7) shows surprising nucleation and mass transport dynamics at odds with standard theories. To create local imbalances on stable Pb islands we use the tip of a scanning force microscope. We enforce a short, local contact between the i
Externí odkaz:
http://arxiv.org/abs/2412.03337
Autor:
Chouldechova, Alexandra, Atalla, Chad, Barocas, Solon, Cooper, A. Feder, Corvi, Emily, Dow, P. Alex, Garcia-Gathright, Jean, Pangakis, Nicholas, Reed, Stefanie, Sheng, Emily, Vann, Dan, Vogel, Matthew, Washington, Hannah, Wallach, Hanna
The valid measurement of generative AI (GenAI) systems' capabilities, risks, and impacts forms the bedrock of our ability to evaluate these systems. We introduce a shared standard for valid measurement that helps place many of the disparate-seeming e
Externí odkaz:
http://arxiv.org/abs/2412.01934
Fast entangling gate operations are a fundamental prerequisite for quantum simulation and computation. We propose an entangling scheme for arbitrary pairs of ions in a linear crystal, harnessing the high electric polarizability of highly excited Rydb
Externí odkaz:
http://arxiv.org/abs/2411.19684
Autor:
Cangi, Attila, Fiedler, Lenz, Brzoza, Bartosz, Shah, Karan, Callow, Timothy J., Kotik, Daniel, Schmerler, Steve, Barry, Matthew C., Goff, James M., Rohskopf, Andrew, Vogel, Dayton J., Modine, Normand, Thompson, Aidan P., Rajamanickam, Sivasankaran
We present the Materials Learning Algorithms (MALA) package, a scalable machine learning framework designed to accelerate density functional theory (DFT) calculations suitable for large-scale atomistic simulations. Using local descriptors of the atom
Externí odkaz:
http://arxiv.org/abs/2411.19617