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Arindam Banerjee

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Contextual Bandits with Online Neural Regression

Dec 12, 2023
Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee

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AmbientFlow: Invertible generative models from incomplete, noisy measurements

Sep 09, 2023
Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio

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SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

Jun 15, 2023
Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee

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Neural Exploitation and Exploration of Contextual Bandits

May 05, 2023
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He

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Alternate Loss Functions Can Improve the Performance of Artificial Neural Networks

Mar 17, 2023
Mathew Mithra Noel, Arindam Banerjee, Geraldine Bessie Amali D

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Improved Algorithms for Neural Active Learning

Oct 02, 2022
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He

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Restricted Strong Convexity of Deep Learning Models with Smooth Activations

Sep 29, 2022
Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin

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Stability Based Generalization Bounds for Exponential Family Langevin Dynamics

Jan 09, 2022
Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou

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TorchGeo: deep learning with geospatial data

Nov 17, 2021
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee

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EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Oct 07, 2021
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He

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