1. Optimization Over Banach Spaces: A Unified View on Supervised Learning and Inverse Problems


    • Ph.D. Private Defense

    • École polytechnique fédérale de Lausanne (EPFL), May 2022

  2. Supervised Learning over Banach Spaces


    • Invited Talk at Prof. Alexander Rakhlin's Research Group

    • Massachusetts Institute of Technology (MIT), Virtual, November 2021

  3. Graphic: Graph-Based Hierarchical Clustering for Single-Molecule Localization Microscopy


    • International Symposium on Biomedical Imaging (ISBI'21)

    • Nice, France, Virtual, April 2021

  4. Dictionary Learning with Statistical Sparsity in the Presence of Noise


    • European Signal Processing Conference (EUSIPCO'20)

    • Amsterdam, Netherland, Virtual, January 2021

  5. Optimal Spline Generators for Derivative Sampling


    • International Conference on Sampling Theory and Applications (SampTA'19)

    • Bordeaux, France, July 2019

  6. Multiple-Kernel Regression with Sparsity Constraints


    • Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS'19)

    • Toulouse, France, July 2019

  7. Deep Spline Networks with Control of Lipschitz Regularity


    • International Conference on Acoustics, Speech, and Signal Processing (ICASSP'19)

    • Brighton, United Kingdom, May 2019

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