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Mijung Park · SciRah

Researcher profile · Semantic Scholar

Mijung Park

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Mijung Park — researcher profile on SciRah

h-index: 18
Works: 67
Citations: 1,069

Most-cited papers

DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
Frederik Harder, Kamil Adamczewski, Mijung Park
2020International Conference on Artificial Intelligence and Statistics128 citations
Semantic Scholar
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
Mijung Park, Wittawat Jitkrittum, D. Sejdinovic
2015International Conference on Artificial Intelligence and Statistics111 citations
Semantic Scholar
Receptive Field Inference with Localized Priors
Mijung Park, J. Pillow
2011PLoS Comput. Biol.90 citations Open access
Semantic Scholar
Interpretable and Differentially Private Predictions
Frederik Harder, M. Bauer, Mijung Park
2019AAAI Conference on Artificial Intelligence68 citations Open access
Semantic Scholar
DP-EM: Differentially Private Expectation Maximization
Mijung Park, J. Foulds, Kamalika Choudhary, M. Welling
2016International Conference on Artificial Intelligence and Statistics55 citations
Semantic Scholar
Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability
Adam S. Charles, Mijung Park, J. P. Weller, G. Horwitz +1 more
2017bioRxiv52 citations Open access
Semantic Scholar
Variational Bayes In Private Settings (VIPS)
Mijung Park, J. Foulds, K. Chaudhuri, M. Welling
2016Journal of Artificial Intelligence Research43 citations Open access
Semantic Scholar
Differentially Private Latent Diffusion Models
Michael F. Liu, Saiyue Lyu, Margarita Vinaroz, Mijung Park
2023Trans. Mach. Learn. Res.42 citations Open access
Semantic Scholar
Pre-trained Perceptual Features Improve Differentially Private Image Generation
Fredrik Harder, Milad Jalali Asadabadi, Danica J. Sutherland, Mijung Park
2022Trans. Mach. Learn. Res.37 citations
Semantic Scholar
Active learning of neural response functions with Gaussian processes
Mijung Park, G. Horwitz, J. Pillow
2011Neural Information Processing Systems30 citations
Semantic Scholar
Hermite Polynomial Features for Private Data Generation
Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder, Kamil Adamczewski +1 more
2021International Conference on Machine Learning28 citations
Semantic Scholar
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
Mijung Park, Wittawat Jitkrittum, Ahmad Qamar, Z. Szabó +2 more
2014Neural Information Processing Systems28 citations
Semantic Scholar
Bayesian active learning with localized priors for fast receptive field characterization
Mijung Park, J. Pillow
2012Neural Information Processing Systems26 citations
Semantic Scholar
Bayesian Active Learning of Neural Firing Rate Maps with Transformed Gaussian Process Priors
Mijung Park, J. P. Weller, Gregory D. Horwitz, J. Pillow
2014Neural Computation24 citations
Semantic Scholar
Radial and Directional Posteriors for Bayesian Neural Networks
Changyong Oh, Kamil Adamczewski, Mijung Park
2019arXiv.org22 citations
Semantic Scholar
Adaptive Bayesian Methods for Closed-Loop Neurophysiology
J. Pillow, Mijung Park
201621 citations
Semantic Scholar
Sparse Bayesian structure learning with dependent relevance determination priors
An-Qi Wu, Mijung Park, O. Koyejo, J. Pillow
2014Neural Information Processing Systems19 citations
Semantic Scholar
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
Yilin Yang, Kamil Adamczewski, Danica J. Sutherland, Xiaoxiao Li +1 more
2023arXiv.org18 citations Open access
Semantic Scholar
Bayesian inference for low rank spatiotemporal neural receptive fields
Mijung Park, J. Pillow
2013Neural Information Processing Systems18 citations
Semantic Scholar
Variational Bayesian inference for forecasting hierarchical time series
Mijung Park, M. Nassar
201417 citations
Semantic Scholar
Bayesian Active Learning for Drug Combinations
Mijung Park, M. Nassar, H. Vikalo
2013IEEE Transactions on Biomedical Engineering17 citations
Semantic Scholar
Privacy-Preserving Causal Inference via Inverse Probability Weighting
Si Kai Lee, Luigi Gresele, Mijung Park, Krikamol Muandet
201915 citations
Semantic Scholar
Private Topic Modeling
Mijung Park, J. Foulds, K. Chaudhuri, M. Welling
2016arXiv.org12 citations
Semantic Scholar
Unlocking neural population non-stationarities using hierarchical dynamics models
Mijung Park, G. Bohner, J. Macke
2015Neural Information Processing Systems12 citations
Semantic Scholar
Differentially Private Data Generation Needs Better Features
Frederik Harder, Milad Jalali Asadabadi, Danica J. Sutherland, Mijung Park
2022arXiv.org11 citations Open access
Semantic Scholar
A Machine Learning Approach to Link Adaptation for SC-FDE System
Z. Puljiz, Mijung Park, R. Heath
2011Global Communications Conference11 citations
Semantic Scholar
Differential Privacy Meets Neural Network Pruning
Kamil Adamczewski, Mijung Park
2023arXiv.org10 citations Open access
Semantic Scholar
K2-ABC: Approximate Bayesian Computation with Infinite Dimensional Summary Statistics via Kernel Embeddings
Mijung Park, Wittawat Jitkrittum, D. Sejdinovic
201510 citations
Semantic Scholar
Household Size, Home Health Care, and Medical Expenditures
T. Halliday, Mijung Park
200910 citations
Semantic Scholar
Differentially Private Kernel Inducing Points (DP-KIP) for Privacy-preserving Data Distillation
Margarita Vinaroz, Mijung Park
2023arXiv.org8 citations Open access
Semantic Scholar
Practical Privacy For Expectation Maximization
Mijung Park, J. Foulds, K. Chaudhuri, M. Welling
2016arXiv.org8 citations
Semantic Scholar
Bayesian Structure Learning for Functional Neuroimaging
Mijung Park, O. Koyejo, Joydeep Ghosh, R. Poldrack +1 more
2013International Conference on Artificial Intelligence and Statistics8 citations
Semantic Scholar
ABCDP: Approximate Bayesian Computation with Differential Privacy
Mijung Park, Margarita Vinaroz, Wittawat Jitkrittum
2021Entropy7 citations Open access
Semantic Scholar
Radial and Directional Posteriors for Bayesian Deep Learning
Changyong Oh, Kamil Adamczewski, Mijung Park
2020AAAI Conference on Artificial Intelligence7 citations Open access
Semantic Scholar
Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation
Frederik Harder, Kamil Adamczewski, Mijung Park
2020arXiv.org6 citations
Semantic Scholar
A Differentially Private Kernel Two-Sample Test
Anant Raj, H. Law, D. Sejdinovic, Mijung Park
2018ECML/PKDD6 citations Open access
Semantic Scholar
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation
Margarita Vinaroz, Mijung Park
2023Trans. Mach. Learn. Res.5 citations
Semantic Scholar
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski, Mijung Park
2020arXiv.org5 citations
Semantic Scholar
Adaptive experimental design for drug combinations
Mijung Park, M. Nassar, B. Evans, H. Vikalo
2012Symposium on Software Performance5 citations
Semantic Scholar
Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification
Kamil Adamczewski, Yingchen He, Mijung Park
2023arXiv.org3 citations Open access
Semantic Scholar
Private Causal Inference using Propensity Scores
Si Kai Lee, Luigi Gresele, Mijung Park, Krikamol Muandet
2019arXiv.org3 citations
Semantic Scholar
Neuron ranking - an informed way to condense convolutional neural networks architecture
Kamil Adamczewski, Mijung Park
2019arXiv.org3 citations
Semantic Scholar
Not Every Time and Frequency Need to Be Forgotten in Diffusion Unlearning
Jinseong Park, Mijung Park
20252 citations
Semantic Scholar
Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski, Mijung Park
2021International Conference on Artificial Intelligence and Statistics2 citations
Semantic Scholar
Polynomial magic! Hermite polynomials for private data generation
Mijung Park, Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder
2021arXiv.org2 citations
Semantic Scholar
Variational Bayes in Private Settings (VIPS) (Extended Abstract)
J. Foulds, Mijung Park, K. Chaudhuri, M. Welling
2020International Joint Conference on Artificial Intelligence2 citations Open access
Semantic Scholar
Bayesian Importance of Features (BIF)
Kamil Adamczewski, Frederik Harder, Mijung Park
20202 citations
Semantic Scholar
Optimizable Model Averaging for Ensembling Heterogeneous Model Outputs
Mijung Park
20251 citations
Semantic Scholar
Differentially Private Stochastic Expectation Propagation
Margarita Vinaroz, Mijung Park
2021Trans. Mach. Learn. Res.1 citations
Semantic Scholar
DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning
Frederik Harder, Jonas Köhler, M. Welling, Mijung Park
2019arXiv.org1 citations
Semantic Scholar

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Kamil Adamczewski×11
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J. Pillow×9
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Frederik Harder×8
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Margarita Vinaroz×7
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