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Robust Dependence Measure using RKHS based Uncertainty Moments and Optimal Transport


Nov 03, 2022
Rishabh Singh, Jose C. Principe

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Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS


Nov 03, 2022
Rishabh Singh, Jose C. Principe

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Quantifying Model Predictive Uncertainty with Perturbation Theory


Sep 22, 2021
Rishabh Singh, Jose C. Principe

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* 16 pages, 12 figures, 4 tables. arXiv admin note: text overlap with arXiv:2103.01374 

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Deep Geospatial Interpolation Networks


Aug 15, 2021
Sumit Kumar Varshney, Jeetu Kumar, Aditya Tiwari, Rishabh Singh, Venkata M. V. Gunturi, Narayanan C. Krishnan

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SpreadsheetCoder: Formula Prediction from Semi-structured Context


Jun 26, 2021
Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou

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* Published in ICML 2021 

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Image to Image Translation : Generating maps from satellite images


May 19, 2021
Vaishali Ingale, Rishabh Singh, Pragati Patwal

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A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts


Mar 02, 2021
Rishabh Singh, Jose C. Principe

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Latent Programmer: Discrete Latent Codes for Program Synthesis


Dec 01, 2020
Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer

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* 15 pages, 9 figures 

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Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration


Nov 10, 2020
Hanjun Dai, Rishabh Singh, Bo Dai, Charles Sutton, Dale Schuurmans

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* NeurIPS 2020 

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Deep Learning & Software Engineering: State of Research and Future Directions


Sep 17, 2020
Prem Devanbu, Matthew Dwyer, Sebastian Elbaum, Michael Lowry, Kevin Moran, Denys Poshyvanyk, Baishakhi Ray, Rishabh Singh, Xiangyu Zhang

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* Community Report from the 2019 NSF Workshop on Deep Learning & Software Engineering, 37 pages 

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