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Dictionary Design for Graph Signal Processing [1]

  • Read more about Dictionary Design for Graph Signal Processing [1]

Analog to digital compression [2]

  • Read more about Analog to digital compression [2]

Estimating a manifold from noisy samples [3]

  • Read more about Estimating a manifold from noisy samples [3]

Learning Graph Inverse Problems with Geometric Neural Networks [4]

  • Read more about Learning Graph Inverse Problems with Geometric Neural Networks [4]

Learning from Highly Correlated Features using Graph Total Variation [5]

  • Read more about Learning from Highly Correlated Features using Graph Total Variation [5]

Latent Space Approaches to Subtyping in Oncology Trials [6]

  • Read more about Latent Space Approaches to Subtyping in Oncology Trials [6]

Stable singularity detection from low-resolution data [7]

  • Read more about Stable singularity detection from low-resolution data [7]

Spectral methods for unsupervised ensemble learning and latent variable models [8]

  • Read more about Spectral methods for unsupervised ensemble learning and latent variable models [8]

Deep Spectral Graph Matching [9]

  • Read more about Deep Spectral Graph Matching [9]

A fluctuating boundary integral method for Brownian suspensions. [10]

  • Read more about A fluctuating boundary integral method for Brownian suspensions. [10]
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Links
[1] https://calendar.math.yale.edu/event/dictionary-design-graph-signal-processing [2] https://calendar.math.yale.edu/event/analog-digital-compression [3] https://calendar.math.yale.edu/event/estimating-manifold-noisy-samples [4] https://calendar.math.yale.edu/event/learning-graph-inverse-problems-geometric-neural-networks [5] https://calendar.math.yale.edu/event/learning-highly-correlated-features-using-graph-total-variation [6] https://calendar.math.yale.edu/event/latent-space-approaches-subtyping-oncology-trials [7] https://calendar.math.yale.edu/event/stable-singularity-detection-low-resolution-data [8] https://calendar.math.yale.edu/event/spectral-methods-unsupervised-ensemble-learning-and-latent-variable-models-0 [9] https://calendar.math.yale.edu/event/deep-spectral-graph-matching [10] https://calendar.math.yale.edu/event/fluctuating-boundary-integral-method-brownian-suspensions [11] https://calendar.math.yale.edu/seminars/applied-mathematics [12] https://calendar.math.yale.edu/seminars/applied-mathematics?page=9 [13] https://calendar.math.yale.edu/seminars/applied-mathematics?page=6 [14] https://calendar.math.yale.edu/seminars/applied-mathematics?page=7 [15] https://calendar.math.yale.edu/seminars/applied-mathematics?page=8 [16] https://calendar.math.yale.edu/seminars/applied-mathematics?page=11 [17] https://calendar.math.yale.edu/seminars/applied-mathematics?page=12 [18] https://calendar.math.yale.edu/seminars/applied-mathematics?page=13 [19] https://calendar.math.yale.edu/seminars/applied-mathematics?page=14 [20] https://calendar.math.yale.edu/seminars/applied-mathematics?page=28