Zobrazeno 1 - 10
of 44 674
pro vyhledávání: '"Rasmussen, P."'
Autor:
Vu, Minh, Nebgen, Ben, Skau, Erik, Zollicoffer, Geigh, Castorena, Juan, Rasmussen, Kim, Alexandrov, Boian, Bhattarai, Manish
As Machine Learning (ML) applications rapidly grow, concerns about adversarial attacks compromising their reliability have gained significant attention. One unsupervised ML method known for its resilience to such attacks is Non-negative Matrix Factor
Externí odkaz:
http://arxiv.org/abs/2408.03909
Autor:
Danis, Mustafa Engin, Truong, Duc P., DeSantis, Derek, Petersen, Mark, Rasmussen, Kim O., Alexandrov, Boian S.
In this paper, we introduce a high-order tensor-train (TT) finite volume method for the Shallow Water Equations (SWEs). We present the implementation of the $3^{rd}$ order Upwind and the $5^{th}$ order Upwind and WENO reconstruction schemes in the TT
Externí odkaz:
http://arxiv.org/abs/2408.03483
The thermal conductivity of glasses is well-known to be significantly harder to theoretically describe compared to crystalline materials. Because of this fact, the fundamental understanding of thermal conductivity in glasses remain extremely poor whe
Externí odkaz:
http://arxiv.org/abs/2408.00813
Autor:
Zubchenko, Anton, Middlebrooks, Danielle, Rasmussen, Torbjørn, Lausen, Lara, Kuemmeth, Ferdinand, Chatterjee, Anasua, Zwolak, Justyna P.
Semiconductor quantum dots (QD) are a promising platform for multiple different qubit implementations, all of which are voltage-controlled by programmable gate electrodes. However, as the QD arrays grow in size and complexity, tuning procedures that
Externí odkaz:
http://arxiv.org/abs/2407.20061
Autor:
Wanna, Selma, Barron, Ryan, Solovyev, Nick, Eren, Maksim E., Bhattarai, Manish, Rasmussen, Kim, Alexandrov, Boian S.
Topic modeling is a technique for organizing and extracting themes from large collections of unstructured text. Non-negative matrix factorization (NMF) is a common unsupervised approach that decomposes a term frequency-inverse document frequency (TF-
Externí odkaz:
http://arxiv.org/abs/2407.19616
Autor:
Davidson, Jared R., Boizelle, Benjamin D., Walsh, Jonelle L., Barth, Aaron J., Rasmussen, Emma, Baker, Andrew J., Buote, David A., Darling, Jeremy, Ho, Luis C., Kabasares, Kyle M., Cohn, Jonathan H.
Dusty circumnuclear disks (CNDs) in luminous early-type galaxies (ETGs) show regular, dynamically cold molecular gas kinematics. For a growing number of ETGs, Atacama Large Millimeter/sub-millimeter Array (ALMA) CO imaging and detailed gas-dynamical
Externí odkaz:
http://arxiv.org/abs/2407.08076
Autor:
Popović, Mladen, Dhali, Maruf A., Schomaker, Lambert, van der Plicht, Johannes, Rasmussen, Kaare Lund, La Nasa, Jacopo, Degano, Ilaria, Colombini, Maria Perla, Tigchelaar, Eibert
Determining the chronology of ancient handwritten manuscripts is essential for reconstructing the evolution of ideas. For the Dead Sea Scrolls, this is particularly important. However, there is an almost complete lack of date-bearing manuscripts even
Externí odkaz:
http://arxiv.org/abs/2407.12013
Autor:
Chase, Randy J., Dolan, Brenda, Rasmussen, Kristen L., Schulte, Richard M., Stephens, Graeme, Turk, F. Joe, Heever, Susan C. van den
Global numerical weather models are starting to resolve atmospheric moist convection which comes with a critical need for observational constraints. One avenue for such constraints is spaceborne radar which tend to operate at three wavelengths, Ku-,
Externí odkaz:
http://arxiv.org/abs/2406.17110
Data fusion models based on Coupled Matrix and Tensor Factorizations (CMTF) have been effective tools for joint analysis of data from multiple sources. While the vast majority of CMTF models are based on the strictly multilinear CANDECOMP/PARAFAC (CP
Externí odkaz:
http://arxiv.org/abs/2406.12338
Spectral methods provide highly accurate numerical solutions for partial differential equations, exhibiting exponential convergence with the number of spectral nodes. Traditionally, in addressing time-dependent nonlinear problems, attention has been
Externí odkaz:
http://arxiv.org/abs/2406.02505