Zobrazeno 1 - 10
of 308 006
pro vyhledávání: '"ROBERT, M."'
Autor:
Cai, Diana, Modi, Chirag, Margossian, Charles C., Gower, Robert M., Blei, David M., Saul, Lawrence K.
We develop EigenVI, an eigenvalue-based approach for black-box variational inference (BBVI). EigenVI constructs its variational approximations from orthogonal function expansions. For distributions over $\mathbb{R}^D$, the lowest order term in these
Externí odkaz:
http://arxiv.org/abs/2410.24054
Autor:
Quimby, Robert M., Metzger, Brian D., Shen, Ken J., Shafter, Allen W., Corbett, Hank, Overton, Madeline
Observational constraints on classical novae are heavily biased to phases near optical peak and later because of the simple fact that novae are not typically discovered until they become bright. The earliest phases of brightening, coming before disco
Externí odkaz:
http://arxiv.org/abs/2410.16460
Autor:
Afshordi, Niayesh, Ashtekar, Abhay, Barausse, Enrico, Berti, Emanuele, Brito, Richard, Buoninfante, Luca, Carballo-Rubio, Raúl, Cardoso, Vitor, Carullo, Gregorio, Dafermos, Mihalis, De Laurentis, Mariafelicia, del Rio, Adrian, Di Filippo, Francesco, Eichhorn, Astrid, Emparan, Roberto, Gregory, Ruth, Herdeiro, Carlos A. R., Kunz, Jutta, Lehner, Luis, Liberati, Stefano, Mathur, Samir D., Nissanke, Samaya, Pani, Paolo, Platania, Alessia, Pretorius, Frans, Sasaki, Misao, Tiede, Paul, Unruh, William, Visser, Matt, Wald, Robert M.
The gravitational physics landscape is evolving rapidly, driven by our ability to study strong-field regions, in particular black holes. Black Holes Inside and Out gathered world experts to discuss the status of the field and prospects ahead. We hope
Externí odkaz:
http://arxiv.org/abs/2410.14414
Physics-informed neural networks (PINNs) are an increasingly popular class of techniques for the numerical solution of partial differential equations (PDEs), where neural networks are trained using loss functions regularized by relevant PDE terms to
Externí odkaz:
http://arxiv.org/abs/2410.03573
Interest is rising in Physics-Informed Neural Networks (PINNs) as a mesh-free alternative to traditional numerical solvers for partial differential equations (PDEs). However, PINNs often struggle to learn high-frequency and multi-scale target solutio
Externí odkaz:
http://arxiv.org/abs/2410.03496
The spatial arrangement of components within an mRNA encapsulating nanoparticle has consequences for its thermal stability, which is a key parameter for therapeutic utility. The mesostructure of mRNA nanoparticles formed with cationic polymers have s
Externí odkaz:
http://arxiv.org/abs/2410.00406
Autor:
Daniel, Kathryne J., Smith, Joshua R., Ballmer, Stefan, Bristol, Warren, Driggers, Jennifer C., Effler, Anamaria, Evans, Matthew, Hoover, Joseph, Kuns, Kevin, Landry, Michael, Lovelace, Geoffrey, Lukinbeal, Chris, Mandic, Vuk, Pham, Kiet, Read, Jocelyn, Russell, Joshua B., Schiettekatte, Francois, Schofield, Robert M. S., Scholz, Christopher A., Shoemaker, David H., Sledge, Piper, Strunk, Amber
Cosmic Explorer (CE) is a next-generation ground-based gravitational-wave observatory that is being designed in the 2020s and is envisioned to begin operations in the 2030s together with the Einstein Telescope in Europe. The CE concept currently cons
Externí odkaz:
http://arxiv.org/abs/2410.00293
Autor:
Choi, Suhyeong, Gilardi, Carlo, Gutwin, Paul, Radway, Robert M., Srimani, Tathagata, Mitra, Subhasish
This paper presents Omni 3D - a 3D-stacked device architecture that is naturally enabled by back-end-of-line (BEOL)-compatible transistors. Omni 3D arbitrarily interleaves metal layers for both signal/power with FETs in 3D (i.e., nFETs and pFETs are
Externí odkaz:
http://arxiv.org/abs/2409.16608
Autor:
Nowak, Katarzyna, Krause, Martin G. H., Siegert, Thomas, Forbrich, Jan, Yates, Robert M., Ramírez-Galeano, Laura, Charbonnel, Corinne, Gieles, Mark
Self-enrichment is one of the leading explanations for chemical anomalies in globular clusters. In this scenario, various candidate polluter stars have been proposed to eject gas with altered chemical composition during the self-enrichment process. M
Externí odkaz:
http://arxiv.org/abs/2409.16362
In the paper we study the Boltzmann equation in the diffusive limit in a channel domain $\mathbb{T}^2\times (-1,1)$ for the 3D kinetic Couette flow. Our results demonstrate that the first-order approximation of the solutions is governed by the pertur
Externí odkaz:
http://arxiv.org/abs/2409.00311