Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Fernando Amat"'
Autor:
LeVine, Will, Pikus, Benjamin, Phillips, Jacob, Norman, Berk, Gil, Fernando Amat, Hendryx, Sean
As deep neural networks become adopted in high-stakes domains, it is crucial to be able to identify when inference inputs are Out-of-Distribution (OOD) so that users can be alerted of likely drops in performance and calibration despite high confidenc
Externí odkaz:
http://arxiv.org/abs/2401.12129
Calibration of deep learning models is crucial to their trustworthiness and safe usage, and as such, has been extensively studied in supervised classification models, with methods crafted to decrease miscalibration. However, there has yet to be a com
Externí odkaz:
http://arxiv.org/abs/2303.12748
Publikováno v:
NeurIPS 2021
We study the problem of off-policy evaluation from batched contextual bandit data with multidimensional actions, often termed slates. The problem is common to recommender systems and user-interface optimization, and it is particularly challenging bec
Externí odkaz:
http://arxiv.org/abs/2106.07914
We study the problem of off-policy evaluation for slate bandits, for the typical case in which the logging policy factorizes over the slots of the slate. We slightly depart from the existing literature by taking Bayes risk as the criterion by which t
Externí odkaz:
http://arxiv.org/abs/2101.02553
Autor:
Philipp J. Keller, Andrew B. Berger, Léo Guignard, Srinivas C. Turaga, Katie McDole, Grégoire Malandain, Kristin Branson, Loic Royer, Fernando Amat
Publikováno v:
Cell
Cell, 2018, 175 (3), pp.859-876.e33. ⟨10.1016/j.cell.2018.09.031⟩
Cell, Elsevier, 2018, 175 (3), pp.859-876.e33. ⟨10.1016/j.cell.2018.09.031⟩
Cell, 2018, 175 (3), pp.859-876.e33. ⟨10.1016/j.cell.2018.09.031⟩
Cell, Elsevier, 2018, 175 (3), pp.859-876.e33. ⟨10.1016/j.cell.2018.09.031⟩
International audience; The mouse embryo has long been central to the study of mammalian development; however, elucidating the cell behaviors governing gastrulation and the formation of tissues and organs remains a fundamental challenge. A major obst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f64645c6eed450ab84c8555b58c10d62
https://inria.hal.science/hal-01900416
https://inria.hal.science/hal-01900416
Autor:
Philipp J. Keller, Burkhard Höckendorf, Fernando Amat, Katie McDole, William C. Lemon, Yinan Wan
Publikováno v:
Nature Protocols. 10:1679-1696
Light-sheet microscopy is a powerful method for imaging the development and function of complex biological systems at high spatiotemporal resolution and over long time scales. Such experiments typically generate terabytes of multidimensional image da
Publikováno v:
Biophysical journal. 114(2)
Mechanics plays a key role in the development of higher organisms. However, understanding this relationship is complicated by the difficulty of modeling the link between local forces generated at the subcellular level and deformations observed at the
Autor:
Pavel Tomancak, Stephan Preibisch, Eugene W. Myers, Evangelia Stamataki, Mihail Sarov, Fernando Amat, Robert H. Singer
Publikováno v:
Nature Methods. 11:645-648
Light sheet fluorescence microscopy is able to image large specimen with high resolution by imaging the sam- ples from multiple angles. Multi-view deconvolution can significantly improve the resolution and contrast of the images, but its application
Towards comprehensive cell lineage reconstructions in complex organisms using light-sheet microscopy
Autor:
Fernando Amat, Philipp J. Keller
Publikováno v:
Development, Growth & Differentiation. 55:563-578
Understanding the development of complex multicellular organisms as a function of the underlying cell behavior is one of the most fundamental goals of developmental biology. The ability to quantitatively follow cell dynamics in entire developing embr
Publikováno v:
Bioinformatics
Motivation: Optical flow is a key method used for quantitative motion estimation of biological structures in light microscopy. It has also been used as a key module in segmentation and tracking systems and is considered a mature technology in the fie