teaching
Spot lectures at courses.
- (2024-04) “A lecture at CS 331, Stochastic Gradient Descent Methods”, KAUST
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(2023-03) “A view on Percolation and Spin Systems”, Graph Theory Ph.D. course @Bocconi
[Notes], [Accompanying Images] -
(2023-03) “Compositional RBMs, a bird’s eye view”, Statistical Mechanics Ph.D. course @Bocconi
[Poster] -
(2023-02) “Notes on the Neural Tangent Kernel”, Machine Learning II course @Bocconi
[Slides], [Notes] -
(2023-01) “Notions in Optimal Transport for Sigmoid Neural Networks” , Real Analysis II Ph.D. course @Bocconi
[Notes], [Slides] -
(2022-07) “A path to the Hungarian Algorithm”, Algorithms course @Bocconi
[Notes], [Slides] - (2022-01) “Advanced session on Simulated Annealing”, mini-course on Computation @Harvard
[Slides], [Lecture Notes], [Video]