Zobrazeno 1 - 10
of 113 361
pro vyhledávání: '"Brenner As"'
Autor:
Fan, Jingxuan, Martinson, Sarah, Wang, Erik Y., Hausknecht, Kaylie, Brenner, Jonah, Liu, Danxian, Peng, Nianli, Wang, Corey, Brenner, Michael P.
Advanced applied mathematics problems are underrepresented in existing Large Language Model (LLM) benchmark datasets. To address this, we introduce HARDMath, a dataset inspired by a graduate course on asymptotic methods, featuring challenging applied
Externí odkaz:
http://arxiv.org/abs/2410.09988
Reliable deep learning models require not only accurate predictions but also well-calibrated confidence estimates to ensure dependable uncertainty estimation. This is crucial in safety-critical applications like autonomous driving, which depend on ra
Externí odkaz:
http://arxiv.org/abs/2411.11935
Developing physics-based models for molecular simulation requires fitting many unknown parameters to experimental datasets of diverse properties. Fitting such diverse data is typically carried out piecemeal, resulting in a "zoo" of disconnected but h
Externí odkaz:
http://arxiv.org/abs/2411.09216
Autor:
Brenner, Susanne C., Sung, Li-yeng
We present a new error analysis for finite element methods for a linear-quadratic elliptic optimal control problem with Neumann boundary control and pointwise control constraints. It can be applied to standard finite element methods when the coeffici
Externí odkaz:
http://arxiv.org/abs/2411.01550
We initiate the study of state complexity for continuous-variable quantum systems. Concretely, we consider a setup with bosonic modes and auxiliary qubits, where available operations include Gaussian one- and two-mode operations, single- and two-qubi
Externí odkaz:
http://arxiv.org/abs/2410.19610
Dynamical systems (DS) theory is fundamental for many areas of science and engineering. It can provide deep insights into the behavior of systems evolving in time, as typically described by differential or recursive equations. A common approach to fa
Externí odkaz:
http://arxiv.org/abs/2410.14240
Autor:
FASER collaboration, Abraham, Roshan Mammen, Ai, Xiaocong, Anders, John, Antel, Claire, Ariga, Akitaka, Ariga, Tomoko, Atkinson, Jeremy, Bernlochner, Florian U., Bianchi, Emma, Boeckh, Tobias, Boyd, Jamie, Brenner, Lydia, Burger, Angela, Cadoux, Franck, Cardella, Roberto, Casper, David W., Cavanagh, Charlotte, Chen, Xin, Cho, Eunhyung, Chouhan, Dhruv, Coccaro, Andrea, Débieux, Stephane, D'Onofrio, Monica, Desai, Ansh, Dmitrievsky, Sergey, Dobre, Radu, Eley, Sinead, Favre, Yannick, Fellers, Deion, Feng, Jonathan L., Fenoglio, Carlo Alberto, Ferrere, Didier, Fieg, Max, Filali, Wissal, Firu, Elena, Garabaglu, Ali, Gibson, Stephen, Gonzalez-Sevilla, Sergio, Gornushkin, Yuri, Gwilliam, Carl, Hayakawa, Daiki, Holzbock, Michael, Hsu, Shih-Chieh, Hu, Zhen, Iacobucci, Giuseppe, Inada, Tomohiro, Iodice, Luca, Jakobsen, Sune, Joos, Hans, Kajomovitz, Enrique, Kawahara, Hiroaki, Keyken, Alex, Kling, Felix, Köck, Daniela, Kontaxakis, Pantelis, Kose, Umut, Kotitsa, Rafaella, Kuehn, Susanne, Kugathasan, Thanushan, Levinson, Lorne, Li, Ke, Liu, Jinfeng, Liu, Yi, Lutz, Margaret S., MacDonald, Jack, Magliocca, Chiara, Mäkelä, Toni, McCoy, Lawson, McFayden, Josh, Medina, Andrea Pizarro, Milanesio, Matteo, Moretti, Théo, Nakamura, Mitsuhiro, Nakano, Toshiyuki, Nevay, Laurie, Ohashi, Ken, Otono, Hidetoshi, Paolozzi, Lorenzo, Petersen, Brian, Preda, Titi, Prim, Markus, Queitsch-Maitland, Michaela, Rokujo, Hiroki, Rubbia, André, Sabater-Iglesias, Jorge, Sato, Osamu, Scampoli, Paola, Schmieden, Kristof, Schott, Matthias, Sfyrla, Anna, Sgalaberna, Davide, Shamim, Mansoora, Shively, Savannah, Takubo, Yosuke, Tarannum, Noshin, Theiner, Ondrej, Torrence, Eric, Martinez, Oscar Ivan Valdes, Vasina, Svetlana, Vormwald, Benedikt, Wang, Di, Wang, Yuxiao, Welch, Eli, Xu, Yue, Zahorec, Samuel, Zambito, Stefano, Zhang, Shunliang
The first FASER search for a light, long-lived particle decaying into a pair of photons is reported. The search uses LHC proton-proton collision data at $\sqrt{s}=13.6~\text{TeV}$ collected in 2022 and 2023, corresponding to an integrated luminosity
Externí odkaz:
http://arxiv.org/abs/2410.10363
In science, we are often interested in obtaining a generative model of the underlying system dynamics from observed time series. While powerful methods for dynamical systems reconstruction (DSR) exist when data come from a single domain, how to best
Externí odkaz:
http://arxiv.org/abs/2410.04814
Autor:
Brenner, Susanne C., Sung, Li-yeng
We derive error estimates for a linear-quadratic elliptic distributed optimal control problem with pointwise control constraints that can be applied to standard finite element methods and multiscale finite element methods.
Comment: 15 pages
Comment: 15 pages
Externí odkaz:
http://arxiv.org/abs/2410.04643
The emergence of Multimodal Foundation Models (MFMs) holds significant promise for transforming social media platforms. However, this advancement also introduces substantial security and ethical concerns, as it may facilitate malicious actors in the
Externí odkaz:
http://arxiv.org/abs/2409.18931