10.9k citations
- SLAC National Accelerator LaboratoryUS849 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS789 papers
- University of California, BerkeleyUS396 papers
- Centre National de la Recherche ScientifiqueFR386 papers
- California Institute of TechnologyUS382 papers
- Massachusetts Institute of TechnologyUS311 papers
- University of Maryland, College ParkUS273 papers
- Lawrence Berkeley National LaboratoryUS259 papers
- University of MichiganUS254 papers
- University of ChicagoUS237 papers
- Goddard Space Flight CenterUS229 papers
- Princeton UniversityUS224 papers
286 papers · 1 filter
Extrapolating Expected Accuracies for Large Multi-Class Problems
Charles Zheng, Rakesh Achanta, Yuval Benjamini
The difficulty of multi-class classification generally increases with the number of classes. Using data from a subset of the classes, can we predict how well a classifier will scal…
Revisiting Cu NMR evidence for charge order in superconducting LaSrCuO
T. Imai, S. K. Takahashi, A. Arsenault +5
The presence of charge and spin stripe order in the La2CuO4-based family of superconductors continues to lead to new insight on the unusual ground state properties of high Tc cupra…
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel, Matthew Hoffman, Adam Roberts
Deep generative neural networks have proven effective at both conditional and unconditional modeling of complex data distributions. Conditional generation enables interactive contr…
Data Science: A Three Ring Circus or a Big Tent?
Jennifer Bryan, Hadley Wickham
This is part of a collection of discussion pieces on David Donoho's paper 50 Years of Data Science, appearing in Volume 26, Issue 4 of the Journal of Computational and Graphical St…
A distributed-memory hierarchical solver for general sparse linear systems
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam +2
We present a parallel hierarchical solver for general sparse linear systems on distributed-memory machines. For large-scale problems, this fully algebraic algorithm is faster and m…
Im2Pano3D: Extrapolating 360 Structure and Semantics Beyond the Field of View
Shuran Song, Andy Zeng, Angel X. Chang +3
We present Im2Pano3D, a convolutional neural network that generates a dense prediction of 3D structure and a probability distribution of semantic labels for a full 360 panoramic vi…