output
20022025
most citedRestoring the density-gradient expansion for exchange in solids and surfaces

12k citations

Showing 2019Show all

120 papers · 1 filter

cond-mat.mes-hall20193 cited

The magneto-optics in quantum wires comprised of vertically stacked quantum dots: A calling for the magnetoplasmon qubits

Manvir S. Kushwaha

A deeper sense of advantages over the planar quantum dots and the foreseen applications in the single-electron devices and quantum computation have given vertically stacked quantum…

cond-mat.mes-hall20192 cited

The fundamentals of harnessing the magneto-optics of quantum wires for designing optical amplifiers: Formalism

Manvir S. Kushwaha

Quantum wires occupy a unique status among the semiconducting nanostructures with reduced dimensionality -- no other system seems to have engaged researchers with as many appealing…

cs.CR20191 cited

Investigating the effectiveness of web adblockers

Clayton Drazner, Nikola Đuza, Hugo Jonker +1

We investigate adblocking filters and the extent to which websites and advertisers react when their content is impacted by these filters. We collected data daily from the Alexa Top…

stat.ME201921 cited

Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data

Minjie Wang, Genevera I. Allen

In mixed multi-view data, multiple sets of diverse features are measured on the same set of samples. By integrating all available data sources, we seek to discover common group str…

astro-ph.SR201910 cited

First evidence of enhanced recombination in astrophysical environments and the implications for plasma diagnostics

A. Nemer, N. C. Sterling, J. Raymond +6

We report the first unambiguous observational evidence of Rydberg Enhanced Recombination (RER), a potentially important recombination mechanism that has hitherto been unexplored in…

cs.LG20198 cited

InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers

Tan M. Nguyen, Animesh Garg, Richard G. Baraniuk +1

Continuous Normalizing Flows (CNFs) have emerged as promising deep generative models for a wide range of tasks thanks to their invertibility and exact likelihood estimation. Howeve…