214 citations · 251 across the 14 of their papers we have counts for
14 papers
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images
Tejas Panambur, Deep Chakraborty, Melissa Meyer +3
Automatic terrain recognition in Mars rover images is an important problem not just for navigation, but for scientists interested in studying rock types, and by extension, conditio…
Autonomous Experiments for Neutron Three-Axis Spectrometers (TAS) with Log-Gaussian Processes
Mario Teixeira Parente, Georg Brandl, Christian Franz +2
Autonomous experiments are excellent tools to increase the efficiency of material discovery. Indeed, AI and ML methods can help optimizing valuable experimental resources as, for e…
Generalized bounds for active subspaces
Mario Teixeira Parente, Jonas Wallin, Barbara Wohlmuth
In this article, we consider scenarios in which traditional estimates for the active subspace method based on probabilistic Poincaré inequalities are not valid due to unbounded Poi…
A note on alternating direction method of multipliers with generalized augmented terms for constrained sparse least absolute deviation
Yuki Itoh, Mario Parente
This technical note is an ancillary material for our research paper (Itoh and Parente, 2019). We discuss an alternating direction method of multipliers with generalized augmented t…
Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy
Shubhankar Deshpande, Brian D. Bue, David R. Thompson +2
According to a recent investigation, an estimated 33-50% of the world's coral reefs have undergone degradation, believed to be as a result of climate change. A strong driver of cli…
A probabilistic framework for approximating functions in active subspaces
Mario Teixeira Parente
This paper develops a comprehensive probabilistic setup to compute approximating functions in active subspaces. Constantine et al. proposed the active subspace method in (Constanti…