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Jonathan Kuck
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2020 – today
- 2024
- [j1]Rachel Luo
, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone
:
Sample-efficient safety assurances using conformal prediction. Int. J. Robotics Res. 43(9): 1409-1424 (2024) - [i7]Ali Hindy, Rachel Luo, Somrita Banerjee, Jonathan Kuck, Edward Schmerling, Marco Pavone:
Diagnostic Runtime Monitoring with Martingales. CoRR abs/2407.21748 (2024) - 2022
- [c6]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone
:
Sample-Efficient Safety Assurances Using Conformal Prediction. WAFR 2022: 149-169 - 2021
- [i6]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-Efficient Safety Assurances using Conformal Prediction. CoRR abs/2109.14082 (2021) - [i5]Fan-Yun Sun, Jonathan Kuck, Hao Tang, Stefano Ermon:
Equivariant Neural Network for Factor Graphs. CoRR abs/2109.14218 (2021) - 2020
- [b1]Jonathan Kuck:
Fast approximate inference: shifting the Pareto frontier via adaptation. Stanford University, USA, 2020 - [c5]Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon:
Belief Propagation Neural Networks. NeurIPS 2020 - [i4]Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon:
Belief Propagation Neural Networks. CoRR abs/2007.00295 (2020) - [i3]Rachel Luo, Shengjia Zhao, Jiaming Song, Jonathan Kuck, Stefano Ermon, Silvio Savarese:
Privacy Preserving Recalibration under Domain Shift. CoRR abs/2008.09643 (2020)
2010 – 2019
- 2019
- [c4]Jonathan Kuck, Tri Dao, Hamid Rezatofighi, Ashish Sabharwal, Stefano Ermon:
Approximating the Permanent by Sampling from Adaptive Partitions. NeurIPS 2019: 8858-8869 - [c3]Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon:
Adaptive Hashing for Model Counting. UAI 2019: 271-280 - [i2]Jonathan Kuck, Tri Dao, Hamid Rezatofighi, Ashish Sabharwal, Stefano Ermon:
Approximating the Permanent by Sampling from Adaptive Partitions. CoRR abs/1911.11856 (2019) - 2018
- [c2]Jonathan Kuck, Ashish Sabharwal, Stefano Ermon:
Approximate Inference via Weighted Rademacher Complexity. AAAI 2018: 6376-6383 - [i1]Jonathan Kuck, Ashish Sabharwal, Stefano Ermon:
Approximate Inference via Weighted Rademacher Complexity. CoRR abs/1801.09028 (2018) - 2015
- [c1]Jonathan Kuck, Honglei Zhuang, Xifeng Yan, Hasan Cam, Jiawei Han:
Query-Based Outlier Detection in Heterogeneous Information Networks. EDBT 2015: 325-336
Coauthor Index
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