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Rishabh Singh

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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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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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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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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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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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