Links
[1] https://calendar.math.yale.edu/event/graph-convolutional-neural-networks-mystery-generalization
[2] https://calendar.math.yale.edu/event/transport-methods-likelihood-free-inference-and-nonlinear-filtering
[3] https://calendar.math.yale.edu/event/overparameterized-and-adversarially-robust-sparse-models
[4] https://calendar.math.yale.edu/event/spline-insights-deep-learning
[5] https://calendar.math.yale.edu/event/data-driven-model-discovery-and-physics-informed-learning
[6] https://calendar.math.yale.edu/event/deterministic-gibbs-sampling-ordinary-differential-equations
[7] https://calendar.math.yale.edu/event/learning-graph-neural-networks
[8] https://calendar.math.yale.edu/event/fighting-drug-resistance-math
[9] https://calendar.math.yale.edu/event/confidence-budget-matching-sequential-budgeted-learning
[10] https://calendar.math.yale.edu/event/understanding-convolutional-neural-networks-through-signal-processing-signals-manifolds-graphs
[11] https://calendar.math.yale.edu/seminars/applied-mathematics
[12] https://calendar.math.yale.edu/seminars/applied-mathematics?page=5
[13] https://calendar.math.yale.edu/seminars/applied-mathematics?page=2
[14] https://calendar.math.yale.edu/seminars/applied-mathematics?page=3
[15] https://calendar.math.yale.edu/seminars/applied-mathematics?page=4
[16] https://calendar.math.yale.edu/seminars/applied-mathematics?page=7
[17] https://calendar.math.yale.edu/seminars/applied-mathematics?page=8
[18] https://calendar.math.yale.edu/seminars/applied-mathematics?page=9
[19] https://calendar.math.yale.edu/seminars/applied-mathematics?page=10
[20] https://calendar.math.yale.edu/seminars/applied-mathematics?page=28