Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Jonas, Eric"'
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds
Rotational invariance is a popular inductive bias used by many fields in machine learning, such as computer vision and machine learning for quantum chemistry. Rotation-invariant machine learning methods set the state of the art for many tasks, includ
Externí odkaz:
http://arxiv.org/abs/2308.06271
Molecules are frequently represented as graphs, but the underlying 3D molecular geometry (the locations of the atoms) ultimately determines most molecular properties. However, most molecules are not static and at room temperature adopt a wide variety
Externí odkaz:
http://arxiv.org/abs/2306.07472
Autor:
Jonas, Eric, Schleier-Smith, Johann, Sreekanti, Vikram, Tsai, Chia-Che, Khandelwal, Anurag, Pu, Qifan, Shankar, Vaishaal, Carreira, Joao, Krauth, Karl, Yadwadkar, Neeraja, Gonzalez, Joseph E., Popa, Raluca Ada, Stoica, Ion, Patterson, David A.
Serverless cloud computing handles virtually all the system administration operations needed to make it easier for programmers to use the cloud. It provides an interface that greatly simplifies cloud programming, and represents an evolution that para
Externí odkaz:
http://arxiv.org/abs/1902.03383
Autor:
Monajemi, Hatef, Murri, Riccardo, Jonas, Eric, Liang, Percy, Stodden, Victoria, Donoho, David L.
Modern data science research can involve massive computational experimentation; an ambitious PhD in computational fields may do experiments consuming several million CPU hours. Traditional computing practices, in which researchers use laptops or shar
Externí odkaz:
http://arxiv.org/abs/1901.08705
Autor:
Altman, Natasha L., Berning, Amber A., Saxon, Cara E., Adamek, Kylie E., Wagner, Jessica A., Slavov, Dobromir, Quaife, Robert A., Gill, Edward A., Minobe, Wayne A., Jonas, Eric R., Carroll, Ian A., Huebler, Sophia P., Raines, Joshua, Messenger, John C., Ambardekar, Amrut V., Mestroni, Luisa, Rosenberg, Rachel M., Rove, Jessica, Campbell, Thomas B., Bristow, Michael R.
Publikováno v:
In JACC: Basic to Translational Science February 2023 8(2):124-137
Autor:
Shankar, Vaishaal, Krauth, Karl, Pu, Qifan, Jonas, Eric, Venkataraman, Shivaram, Stoica, Ion, Recht, Benjamin, Ragan-Kelley, Jonathan
Linear algebra operations are widely used in scientific computing and machine learning applications. However, it is challenging for scientists and data analysts to run linear algebra at scales beyond a single machine. Traditional approaches either re
Externí odkaz:
http://arxiv.org/abs/1810.09679
The precise physical process that triggers solar flares is not currently understood. Here we attempt to capture the signature of this mechanism in solar image data of various wavelengths and use these signatures to predict flaring activity. We do thi
Externí odkaz:
http://arxiv.org/abs/1708.01323
Distributed computing remains inaccessible to a large number of users, in spite of many open source platforms and extensive commercial offerings. While distributed computation frameworks have moved beyond a simple map-reduce model, many users are sti
Externí odkaz:
http://arxiv.org/abs/1702.04024
Autor:
Jonas, Eric Michael
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 107-111).
The brain interprets ambiguous sensory
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 107-111).
The brain interprets ambiguous sensory
Externí odkaz:
http://hdl.handle.net/1721.1/87457
Autor:
Mansinghka, Vikash, Shafto, Patrick, Jonas, Eric, Petschulat, Cap, Gasner, Max, Tenenbaum, Joshua B.
There is a widespread need for statistical methods that can analyze high-dimensional datasets with- out imposing restrictive or opaque modeling assumptions. This paper describes a domain-general data analysis method called CrossCat. CrossCat infers m
Externí odkaz:
http://arxiv.org/abs/1512.01272