Stefanie Jegelka

Stefanie Sabrina Jegelka is a German computer scientist whose research in machine learning includes submodular optimization in computer vision and deep learning for graph neural networks. She is an associate professor of computer science at the Massachusetts Institute of Technology, and Alexander von Humboldt Professor at the Technical University of Munich. Provided by Wikipedia
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  1. 1
    Cooperative graphical models

    Cooperative graphical models by Jegelka, Stefanie Sabrina

    Published 2021
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  2. 2
    ResNet with one-neuron hidden layers is a Universal Approximator

    ResNet with one-neuron hidden layers is a Universal Approximator by Lin, Hongzhou, Jegelka, Stefanie Sabrina

    Published 2021
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  3. 3
    Robust Budget Allocation Via Continuous Submodular Functions

    Robust Budget Allocation Via Continuous Submodular Functions by Staib, Matthew, Jegelka, Stefanie Sabrina

    Published 2021
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  4. 4
    Graph cuts with interacting edge weights: examples, approximations, and algorithms

    Graph cuts with interacting edge weights: examples, approximations, and algorithms by Bilmes, Jeff A., Jegelka, Stefanie Sabrina

    Published 2017
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  5. 5
    Self-supervised learning of cell type specificity from immunohistochemical images

    Self-supervised learning of cell type specificity from immunohistochemical images by Murphy, Michael, Jegelka, Stefanie, Fraenkel, Ernest

    Published 2023
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  6. 6
    Gauss quadrature for matrix inverse forms with applications

    Gauss quadrature for matrix inverse forms with applications by Li, Chengtao, Sra, Suvrit, Jegelka, Stefanie Sabrina

    Published 2017
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  7. 7
    Fast DPP Sampling for Nyström with Application to Kernel Methods

    Fast DPP Sampling for Nyström with Application to Kernel Methods by Li, Chengtao, Jegelka, Stefanie Sabrina, Sra, Suvrit

    Published 2018
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  8. 8
    Fast mixing Markov chains for strongly rayleigh measures, DPPs, and constrained sampling

    Fast mixing Markov chains for strongly rayleigh measures, DPPs, and constrained sampling by Li, Chengtao, Jegelka, Stefanie Sabrina, Sra, Suvrit

    Published 2021
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  9. 9
    Distributionally robust submodular maximization

    Distributionally robust submodular maximization by Staib, Matthew, Wilder, B, Jegelka, Stefanie Sabrina

    Published 2021
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  10. 10
    Provable variational inference for constrained log-submodular models

    Provable variational inference for constrained log-submodular models by Djolonga, Josip, Jegelka, Stefanie Sabrina, Krause, Andreas

    Published 2022
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  11. 11
    Exponentiated strongly Rayleigh distributions

    Exponentiated strongly Rayleigh distributions by Mariet, Zelda, Sra, Suvrit, Jegelka, Stefanie Sabrina

    Published 2022
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  12. 12
    Polynomial time algorithms for dual volume sampling

    Polynomial time algorithms for dual volume sampling by Li, Chengtao, Jegelka, Stefanie Sabrina, Sra, Suvrit

    Published 2022
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  13. 13
    Flexible modeling of diversity with strongly log-concave distributions

    Flexible modeling of diversity with strongly log-concave distributions by Robinson, Joshua, Sra, Suvrit, Jegelka, Stefanie Sabrina

    Published 2022
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  14. 14
    Sensor Array Design Through Submodular Optimization

    Sensor Array Design Through Submodular Optimization by Shulkind, Gal, Jegelka, Stefanie, Wornell, Gregory W

    Published 2021
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  15. 15
    Towards optimal transport with global invariances

    Towards optimal transport with global invariances by Alvarez Melis, David, Jegelka, Stefanie Sabrina, Jaakkola, Tommi S

    Published 2021
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  16. 16
    Virtual screening of inorganic materials synthesis parameters with deep learning

    Virtual screening of inorganic materials synthesis parameters with deep learning by Kim, Edward, Huang, Kevin, Jegelka, Stefanie, Olivetti, Elsa

    Published 2021
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  17. 17
    Parallel Streaming Wasserstein Barycenters

    Parallel Streaming Wasserstein Barycenters by Staib, Matthew, Claici, Sebastian, Solomon, Justin, Jegelka, Stefanie

    Published 2021
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  18. 18
    Adversarially robust optimization with Gaussian processes

    Adversarially robust optimization with Gaussian processes by Bogunovic, Ilija, Jegelka, Stefanie Sabrina, Scarlett, Jonathan, Cevher, Volkan

    Published 2022
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  19. 19
    Deep Metric Learning via Facility Location

    Deep Metric Learning via Facility Location by Song, Hyun Oh, Jegelka, Stefanie, Rathod, Vivek, Murphy, Kevin

    Published 2021
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  20. 20
    Deep Metric Learning via Lifted Structured Feature Embedding

    Deep Metric Learning via Lifted Structured Feature Embedding by Song, Hyun Oh, Xiang, Yu, Savarese, Silvio, Jegelka, Stefanie Sabrina

    Published 2018
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