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Retrieval-based Controllable Molecule Generation


Aug 23, 2022
Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard Baraniuk, Anima Anandkumar

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* 32 pages 

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Automated Scoring for Reading Comprehension via In-context BERT Tuning


May 19, 2022
Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard Baraniuk, Andrew Lan

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* Published as a conference paper at AIED 2022. A grand prize-winner for the NAEP AS Challenge. Code available at: https://github.com/ni9elf/automated-scoring 

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Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective


Mar 15, 2022
Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping Yeh-Chiang, Yehuda Dar, Richard Baraniuk, Micah Goldblum, Tom Goldstein

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* To appear in CVPR 2022 

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No More Than 6ft Apart: Robust K-Means via Radius Upper Bounds


Mar 04, 2022
Ahmed Imtiaz Humayun, Randall Balestriero, Anastasios Kyrillidis, Richard Baraniuk

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* Accepted for ICASSP 2022, 8 figures, 1 table 

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Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values


Mar 03, 2022
Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

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* 20 pages, 16 figures, CVPR 2022 

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Spatial Transformer K-Means


Feb 16, 2022
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan Sengupta, Richard Baraniuk, Behnaam Aazhang

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* arXiv admin note: substantial text overlap with arXiv:2012.09743 

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MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining


Oct 18, 2021
Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

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* 13 pages, 14 pages Appendix, 23 figures 

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Thermal Image Processing via Physics-Inspired Deep Networks


Aug 25, 2021
Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard Baraniuk

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* Accepted to 2nd ICCV workshop on Learning for Computational Imaging (LCI) 

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Double Descent and Other Interpolation Phenomena in GANs


Jun 07, 2021
Lorenzo Luzi, Yehuda Dar, Richard Baraniuk

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