Publications · SAIL @ KAIST

131papers in view

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13 of 131 publications

2021

Lifted Inference for Hybrid Relational Models
Jaesik Choi, Kristian Kersting and Yuqiao Chen
An Introduction to Lifted Probabilistic Inference, MIT Press, August 2021.
Paper
Lifted Aggregation and Skolemization for Directed Models
Wannes Meert, Jaesik Choi, Jacek Kisynski, Hung Bui, Guy Van den Broeck, Adnan Darwiche, Rodrigo de Salvo Braz and David Poole
An Introduction to Lifted Probabilistic Inference, MIT Press, August 2021.
Paper
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
Anh Tong, Toan Tran, Hung Bui and Jaesik Choi
AAAI Conference on Artificial Intelligence (AAAI), 2021.
Paper
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
Anh Tong and Jaesik Choi
AAAI Conference on Artificial Intelligence (AAAI), 2021.
Paper

2019

Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes
Jiyeon Han*, Kyowoon Lee*, Anh Tong and Jaesik Choi
International Joint Conference on Artificial Intelligence (IJCAI), 2019 (* contributed equally).
Paper

2017

Generative Design of Electromagnetic Structures Through Bayesian Learning
Ramesh Patel, Kallol Roy, Jaesik Choi and Ki Jin Han
IEEE Transactions on Magnetics, 2017 (pdf).
Paper

2016

Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series
Yunseong Hwang, Anh Tong and Jaesik Choi
International Conference on Machine Learning (ICML), 2016 (source codes).
Paper

2015

Reading Documents for Bayesian Online Change Point Detection
Taehoon Kim and Jaesik Choi
Conference on Empirical Methods on Natural Language Processing (EMNLP), 2015. (pdf, source codes)
Paper
Learning Relational Kalman Filtering
Jaesik Choi, Eyal Amir, Tianfang Xu and Albert Valocchi
AAAI Conference on Artificial Intelligence (AAAI), 2015 (pdf, slides).
Paper

2012

Lifted Relational Variational Inference
Jaesik Choi and Eyal Amir
Conference on Uncertainty in Artificial Intelligence (UAI), 2012 (pdf).
Paper

2011

Efficient Methods for Lifted Inference with Aggregate Factors
Jaesik Choi, Rodrigo de Salvo Braz and Hung Bui
AAAI Conference on Artificial Intelligence (AAAI), 2011 (pdf,).
Paper
Lifted Relational Kalman Filtering
Jaesik Choi, Abner Guzman Rivera and Eyal Amir
International Joint Conference on Artificial Intelligence (IJCAI), 2011 (pdf).
Paper

2010

Lifted Inference for Relational Continuous Models
Jaesik Choi, Eyal Amir and David J. Hill
Conference on Uncertainty in Artificial Intelligence (UAI), 2010 (pdf).
Paper