Jonathan Kuck

According to our database, Jonathan Kuck authored at least 9 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Sample-Efficient Safety Assurances Using Conformal Prediction.

Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone

Proceedings of the Algorithmic Foundations of Robotics XV, 2022

2021

Equivariant Neural Network for Factor Graphs.

Fan-Yun Sun, Jonathan Kuck, Hao Tang, Stefano Ermon

CoRR, 2021

2020

Fast approximate inference: shifting the Pareto frontier via adaptation.

Jonathan Kuck

PhD thesis, 2020

Privacy Preserving Recalibration under Domain Shift.

Rachel Luo, Shengjia Zhao, Jiaming Song, Jonathan Kuck, Stefano Ermon, Silvio Savarese

CoRR, 2020

Belief Propagation Neural Networks.

Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Adaptive Hashing for Model Counting.

Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Approximating the Permanent by Sampling from Adaptive Partitions.

Jonathan Kuck, Tri Dao, Hamid Rezatofighi, Ashish Sabharwal, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Approximate Inference via Weighted Rademacher Complexity.

Jonathan Kuck, Ashish Sabharwal, Stefano Ermon

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015

Query-Based Outlier Detection in Heterogeneous Information Networks.

Jonathan Kuck, Honglei Zhuang, Xifeng Yan, Hasan Cam, Jiawei Han

Proceedings of the 18th International Conference on Extending Database Technology, 2015