Articles with public access mandates - Richard BaraniukLearn more
Not available anywhere: 2
Towards human-like educational question generation with large language models
Z Wang, J Valdez, D Basu Mallick, RG Baraniuk
International conference on artificial intelligence in education, 153-166, 2022
Mandates: US National Science Foundation, US Department of Defense
Flat focus: depth of field analysis for the FlatCam lensless imaging system
J Tan, V Boominathan, A Veeraraghavan, R Baraniuk
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Mandates: US National Science Foundation
Available somewhere: 115
From denoising to compressed sensing
CA Metzler, A Maleki, RG Baraniuk
IEEE Transactions on Information Theory 62 (9), 5117-5144, 2016
Mandates: US National Science Foundation
Deep learning techniques for inverse problems in imaging
G Ongie, A Jalal, CA Metzler, RG Baraniuk, AG Dimakis, R Willett
IEEE Journal on Selected Areas in Information Theory 1 (1), 39-56, 2020
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Learned D-AMP: Principled neural network based compressive image recovery
C Metzler, A Mousavi, R Baraniuk
Advances in neural information processing systems 30, 2017
Mandates: US National Science Foundation, US Department of Defense
Flatcam: Thin, lensless cameras using coded aperture and computation
MS Asif, A Ayremlou, A Sankaranarayanan, A Veeraraghavan, ...
IEEE Transactions on Computational Imaging 3 (3), 384-397, 2016
Mandates: US National Science Foundation
prDeep: Robust phase retrieval with a flexible deep network
C Metzler, P Schniter, A Veeraraghavan, R Baraniuk
International Conference on Machine Learning, 3501-3510, 2018
Mandates: US National Science Foundation, US Department of Defense
Single-frame 3D fluorescence microscopy with ultraminiature lensless FlatScope
JK Adams, V Boominathan, BW Avants, DG Vercosa, F Ye, RG Baraniuk, ...
Science advances 3 (12), e1701548, 2017
Mandates: US National Science Foundation, US Department of Defense
CS-MUVI: Video compressive sensing for spatial-multiplexing cameras
AC Sankaranarayanan, C Studer, RG Baraniuk
2012 IEEE International Conference on Computational Photography (ICCP), 1-10, 2012
Mandates: Swiss National Science Foundation
Current progress and open challenges for applying deep learning across the biosciences
N Sapoval, A Aghazadeh, MG Nute, DA Antunes, A Balaji, R Baraniuk, ...
Nature Communications 13 (1), 1728, 2022
Mandates: US National Science Foundation, US Department of Defense, US National …
Design and analysis of compressed sensing radar detectors
L Anitori, A Maleki, M Otten, RG Baraniuk, P Hoogeboom
IEEE Transactions on Signal Processing 61 (4), 813-827, 2012
Mandates: Fraunhofer-Gesellschaft
Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning
L Seydoux, R Balestriero, P Poli, M Hoop, M Campillo, R Baraniuk
Nature communications 11 (1), 3972, 2020
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Deep-inverse correlography: towards real-time high-resolution non-line-of-sight imaging
CA Metzler, F Heide, P Rangarajan, MM Balaji, A Viswanath, ...
Optica 7 (1), 63-71, 2020
Mandates: US Department of Defense
Exponential decay of reconstruction error from binary measurements of sparse signals
RG Baraniuk, S Foucart, D Needell, Y Plan, M Wootters
IEEE Transactions on Information Theory 63 (6), 3368-3385, 2017
Mandates: US National Science Foundation, US Department of Defense
Convex biclustering
EC Chi, GI Allen, RG Baraniuk
Biometrics 73 (1), 10-19, 2017
Mandates: US National Science Foundation, US Department of Defense
A spline theory of deep learning
R Balestriero, RG Baraniuk
International Conference on Machine Learning, 374-383, 2018
Mandates: US Department of Defense
Compressive video sensing: Algorithms, architectures, and applications
RG Baraniuk, T Goldstein, AC Sankaranarayanan, C Studer, ...
IEEE Signal Processing Magazine 34 (1), 52-66, 2017
Mandates: US National Science Foundation, US Department of Defense
QG-net: a data-driven question generation model for educational content
Z Wang, AS Lan, W Nie, AE Waters, PJ Grimaldi, RG Baraniuk
Proceedings of the fifth annual ACM conference on learning at scale, 1-10, 2018
Mandates: US National Science Foundation, Arnold Ventures LLC
VLSI design of approximate message passing for signal restoration and compressive sensing
P Maechler, C Studer, DE Bellasi, A Maleki, A Burg, N Felber, H Kaeslin, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012
Mandates: Swiss National Science Foundation
Stable restoration and separation of approximately sparse signals
C Studer, RG Baraniuk
Applied and Computational Harmonic Analysis 37 (1), 12-35, 2014
Mandates: Swiss National Science Foundation
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