167 citations · 218 across the 13 of their papers we have counts for
14 papers
Generalized active learning and design of statistical experiments for manifold-valued data
Mikhail A. Langovoy
Characterizing the appearance of real-world surfaces is a fundamental problem in multidimensional reflectometry, computer vision and computer graphics. For many applications, appea…
Fast and Accurate Uncertainty Estimation in Chemical Machine Learning
Felix Musil, Michael J. Willatt, Mikhail A. Langovoy +1
We present a scheme to obtain an inexpensive and reliable estimate of the uncertainty associated with the predictions of a machine-learning model of atomic and molecular properties…
Unsupervised robust nonparametric learning of hidden community properties
Mikhail A. Langovoy, Akhilesh Gotmare, Martin Jaggi
We consider learning of fundamental properties of communities in large noisy networks, in the prototypical situation where the nodes or users are split into two classes according t…
Statistical estimation for optimization problems on graphs
Mikhail Langovoy, Suvrit Sra
Large graphs abound in machine learning, data mining, and several related areas. A useful step towards analyzing such graphs is that of obtaining certain summary statistics - e.g.,…
Adaptive nonparametric detection in cryo-electron microscopy
Mikhail Langovoy, Michael Habeck, Bernhard Schoelkopf
Cryo-electron microscopy (cryo-EM) is an emerging experimental method to characterize the structure of large biomolecular assemblies. Single particle cryo-EM records 2D images (so-…
Spatial statistics, image analysis and percolation theory
Mikhail Langovoy, Michael Habeck, Bernhard Schölkopf
We develop a novel method for detection of signals and reconstruction of images in the presence of random noise. The method uses results from percolation theory. We specifically ad…