Hui Lan

Vasilis Syrgkanis

CoRR, June, 2025

A Meta-learner for Heterogeneous Effects in Difference-in-Differences.

[BibT_eX]

[DOI]

CoRR, February, 2025

2024

Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes.

[BibT_eX]

[DOI]

Tomas M. Bosschieter

Zifei Xu

Benjamin J. Lengerich

J. Heal. Informatics Res., March, 2024

DSRNet: Depth Super-Resolution Network guided by blurry depth and clear intensity edges.

[BibT_eX]

[DOI]

Cheolkon Jung

Signal Process. Image Commun., February, 2024

Regularized DeepIV with Model Selection.

[BibT_eX]

[DOI]

CoRR, 2024

Latent Edge Guided Depth Super-Resolution Using Attention-Based Hierarchical Multi-Modal Fusion.

[BibT_eX]

[DOI]

Cheolkon Jung

IEEE Access, 2024

Causal Q-Aggregation for CATE Model Selection.

[BibT_eX]

[DOI]

Vasilis Syrgkanis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2023

Multisensor Collaboration Network for Video Compression Based on Wavelet Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2023

Saving Bits Using Multi-Sensor Collaboration.

[BibT_eX]

[DOI]

IEEE Access, 2023

CNN Filter for RPR-Based SR in VVC with Wavelet Decomposition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Space-Time Video Super-Resolution Based on Long-Term Time Dependence.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022

Nonlinear dynamic behavior analysis of photovoltaic quasi Z-source inverter.

[BibT_eX]

[DOI]

IEICE Electron. Express, 2022

Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes.

[BibT_eX]

[DOI]

Tomas M. Bosschieter

Zifei Xu

Benjamin J. Lengerich

CoRR, 2022

2021

Clustering Hidden Markov Models with Variational Bayesian Hierarchical EM.

[BibT_eX]

[DOI]

Dataset, January, 2021

Hierarchical learning of Hidden Markov Models with clustering regularization.

[BibT_eX]

[DOI]

Antoni B. Chan

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2019

Intensity Guided Depth Upsampling Using Edge Sparsity and Super-Weighted L<sub>0</sub> Gradient Minimization.

[BibT_eX]

[DOI]

Shengtao Yu

Cheolkon Jung

IEEE Access, 2019

2017

CUPID: consistent unlabeled probability of identical distribution for image classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

2016

Condition-dependent Co-expression in Arabidopsis and the Bootstrap Estimation of False Discovery Rate.

[BibT_eX]

[DOI]

PhD thesis, 2016

2013

Beamforming for single group multicast systems to maximize the access rate.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2013

2007

Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements.

[BibT_eX]

[DOI]

BMC Bioinform., 2007

2005

On comparison of online secondary path modeling methods with auxiliary noise.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2005

2003

A robust online secondary path modeling method with auxiliary noise power scheduling strategy and norm constraint manipulation.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2003

2002

An active noise control system using online secondary path modeling with reduced auxiliary noise.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2002

A weight-constrained FxLMS algorithm for feedforward active noise control systems.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2002

2001

Cross-updated active noise control system with online secondary path modeling.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2001

2000

An improved secondary path modeling method for active noise control systems.

[BibT_eX]

[DOI]