Zobrazeno 1 - 10
of 11 223
pro vyhledávání: '"Stromberg BE"'
Last-layer retraining methods have emerged as an efficient framework for correcting existing base models. Within this framework, several methods have been proposed to deal with correcting models for subgroup fairness with and without group membership
Externí odkaz:
http://arxiv.org/abs/2406.09561
Ensuring fair predictions across many distinct subpopulations in the training data can be prohibitive for large models. Recently, simple linear last layer retraining strategies, in combination with data augmentation methods such as upweighting, downs
Externí odkaz:
http://arxiv.org/abs/2405.05934
Nanopatterned magnetic thin films offer a platform for exploration of tailored magnetic properties such as emergent long-range order. A prominent example is artificial spin ice (ASI), where an arrangement of nanoscale magnetic elements, acting as mac
Externí odkaz:
http://arxiv.org/abs/2404.03973
Autor:
Stromberg, Nathan, Ayyagari, Rohan, Welfert, Monica, Koyejo, Sanmi, Nock, Richard, Sankar, Lalitha
Existing methods for last layer retraining that aim to optimize worst-group accuracy (WGA) rely heavily on well-annotated groups in the training data. We show, both in theory and practice, that annotation-based data augmentations using either downsam
Externí odkaz:
http://arxiv.org/abs/2402.11039
Autor:
Stromberg, David, author
Publikováno v:
Jerusalem Transformed : Politics, Culture, and Hidden Corners, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197783214.003.0018
Autor:
Silvestri, Raffaele, Yu, Haocun, Stromberg, Teodor, Hilweg, Christopher, Peterson, Robert W., Walther, Philip
Publikováno v:
Sci. Adv. 10, eado0215 (2024)
Precision interferometry with quantum states has emerged as an essential tool for experimentally answering fundamental questions in physics. Optical quantum interferometers are of particular interest due to mature methods for generating and manipulat
Externí odkaz:
http://arxiv.org/abs/2310.16903
Autor:
J. R. Austin, M. Gazley, R. Birchall, B. Patterson, J. Stromberg, M. Willams, A. Björk, M. Le Gras, T. D. Shelton, C. Dhnaram, V. Lisitsin, T. Schlegel, H. McFarlane, J. Walshe
Publikováno v:
Earth System Science Data, Vol 16, Pp 5027-5067 (2024)
Recent decades have seen an exponential rise in the application of machine learning in geoscience. However, fundamental differences distinguish geoscience data from most other data types. Geoscience datasets are typically multi-dimensional, and conta
Externí odkaz:
https://doaj.org/article/afeb3fc05d2346279b84c59771053cfa
Publikováno v:
International Meshing Roundtable 2023
This paper describes a novel method of generating hex-dominant meshes using pre-computed optimal subdivisions of the unit cube in a grid-based approach. Our method addresses geometries that are standard in mechanical engineering and often must comply
Externí odkaz:
http://arxiv.org/abs/2307.08825
Autor:
Jensen, Johannes H., Strømberg, Anders, Breivik, Ida, Penty, Arthur, Foerster, Michael, Niño, Miguel Angel, Khaliq, Muhammad Waqas, Tufte, Gunnar, Folven, Erik
Publikováno v:
Nat Commun 15, 964 (2024)
Artificial spin ice (ASI) are nanomagnetic metamaterials exhibiting a wide range of emergent properties, which have recently shown promise for neuromorphic computing. However, the lack of efficient protocols to control the state evolution of these me
Externí odkaz:
http://arxiv.org/abs/2306.07388
Autor:
Eitan Halper-Stromberg, Victoria Stinnett, Laura Morsberger, Aparna Pallavajjala, Mark J. Levis, Amy E. DeZern, Michelle Lei, Brian Phan, Rena R. Xian, Christopher D. Gocke, Guilin Tang, Ying S. Zou
Publikováno v:
Experimental Hematology & Oncology, Vol 13, Iss 1, Pp 1-5 (2024)
Abstract 1q jumping translocation (JT) is rare and its molecular profiles in myeloid malignancies are not well-known. This study evaluated gene mutations in 1q-JT cohorts (0.38%) from hematological malignant specimens that underwent genetic analysis
Externí odkaz:
https://doaj.org/article/77a46d40981d4860855f1a65cee2f637