Publications

Journal Publications

  • Spectral embedding norm: looking deep into the spectrum of the graph Laplacian
    X. Cheng and G. Mishne
    submitted. [arXiv]

  • Automated cellular structure extraction in biological images with applications to calcium imaging data
    G. Mishne, R. R. Coifman, M. Lavzin and J. Schiller
    [bioRxiv]

  • Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science
    G. C. Linderman, G. Mishne, Y. Kluger and S. Steinerberger
    submitted. [arXiv]

  • The Geometry of Nodal Sets and Outlier Detection
    X. Cheng, G. Mishne and S. Steinerberger
    Journal of Number Theory, Oct. 2017. [code]

  • Diffusion Nets
    G. Mishne, U. Shaham, A. Cloninger and I. Cohen
    Applied and Computational Harmonic Analysis, Aug. 2017. [code]

  • Data-driven tree transforms and metrics
    G. Mishne, R. Talmon, I. Cohen, Y. Kluger and R. R. Coifman
    IEEE Transactions on Signal and Information Processing over Networks, Aug. 2017. [python] [Matlab]

  • Hierarchical Coupled Geometry Analysis for Neuronal Structure and Activity Pattern Discovery
    G. Mishne, R. Talmon, R. Meir, J. Schiller, U. Dubin and R. R. Coifman
    Special Issue of IEEE Journal of Selected Topics in Signal Processing on Advanced Signal Processing in Brain Networks, vol. 10, no. 7, pp. 1238-1253, Oct. 2016. [code]

  • Graph-Based Supervised Automatic Target Detection
    G. Mishne, R. Talmon and I. Cohen
    IEEE Trans. Geoscience and Remote Sensing, Vol. 53, Number 5, May 2015, pp. 2738-2754.

  • Multiscale Anomaly Detection Using Diffusion Maps
    G. Mishne and I. Cohen
    Special Issue of IEEE Journal of Selected Topics in Signal Processing on Anomalous Pattern Discovery for Spatial, Temporal, Networked, and High-Dimensional Signals, Vol. 7, Number 1, Feb. 2013, pp. 111-123. [code]

Conference Publications

  • Visualizing the PHATE of Neural Networks
    S. Gigante, A. S. Charles, S. Krishnaswamy and G. Mishne
    Accepted to NeurIPS 2019, December 2019. [arXiv] [code]

  • Co-manifold learning with missing data
    G. Mishne, E. C. Chi, R. R. Coifman
    ICML 2019, Long Beach, CA, June 2019. [arXiv]

  • A hierarchical manifold learning framework for high-dimensional brain imaging data
    S. Gao, G. Mishne, D. Scheinost
    IPMI-2019, Hong Kong, June 2019.

  • Learning spatially-correlated temporal dictionaries for calcium imaging
    G. Mishne and Adam S. Charles
    IEEE Internat. Conf. Acoust. Speech Signal Process., ICASSP-2019, Brighton, UK, May 2019.

  • Hierarchical nonlinear embedding reveals brain states and performance differences during working memory tasks
    S. Gao, G. Mishne, D. Scheinost
    Conference on Cognitive Computational Neuroscience, CCN-2018, Philadelphia, PA, September 2018.

  • Iterative diffusion-based anomaly detection
    G. Mishne and I. Cohen
    Proc. 42nd IEEE Internat. Conf. Acoust. Speech Signal Process., ICASSP-2017, New Orleans, USA, March 2017.

  • Improving resolution in supervised patch-based target detection
    R. Amit, G. Mishne and R. Talmon
    Proc. 41st IEEE Internat. Conf. Acoust. Speech Signal Process., ICASSP-2016, Shanghai, China, March 2016.

  • Multi-Channel Wafer Defect Detection Using Diffusion Maps
    G. Mishne and I. Cohen
    Proc. 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI-2014, Eilat, Israel, 3-5 December 2014.

  • Multiscale Anomaly Detection Using Diffusion Maps and Saliency Score
    G. Mishne and I. Cohen
    Proc. 39th IEEE Internat. Conf. Acoust. Speech Signal Process., ICASSP-2014, Florence, Italy, May 4-9, 2014, pp. 2823-2827.

Peer-reviewed Abstracts

  • Spatially-filtered temporal dictionary learning for calcium imaging analysis
    G. Mishne, N. Cermak, J. Schiller and A. S. Charles
    accepted to SPARS 2019

  • Graph-filtered temporal dictionary learning for calcium imaging analysis
    G. Mishne, B. Scott, S. Thiberge, N. Cermak, J. Schiller, C. Brody, D. W. Tank, and A. S. Charles
    Oral presentation at Annual Computational Neuroscience Meeting (CNS*2019)

  • Temporal dictionary learning for calcium imaging analysis
    G. Mishne, B. Scott, S. Thiberge, N. Cermak, J. Schiller, C. Brody, D. W. Tank, and A. S. Charles
    Computational and Systems Neuroscience (COSYNE) 2019

  • Local diffusion geometry for automated cellular structure extraction in calcium imaging data
    G. Mishne, R. R. Coifma, M. Lavzin and J. Schiller
    Computational and Systems Neuroscience (COSYNE) 2018