| Dec 9, 2023 | Invited talk “Machine Learning on Large-Scale Graphs: Graphon NNs and Learning by Transference” at the Canadian Mathematical Society Winter Meeting. |
| Nov 16, 2023 | Invited long talk “Large-Scale Graph Machine Learning: Tradeoffs, Guarantees and Dynamics” at DeepMath 2023. |
| Nov 10, 2023 | I am serving as TC chair at ICASSP 2024 and as publicity chair at Graph Signal Processing Workshop (GSPW) 2024. Consider submitting an abstract to GSPW! |
| Oct 17, 2023 | New preprint A Local Graph Limits Perspective on Sampling-Based GNNs with Yeganeh and Amin. |
| Oct 16, 2023 | Talk “Large-Scale Graph Machine Learning: Tradeoffs, Guarantees and Dynamics” at INFORMS. |
| Sep 22, 2023 | Talk “Large-Scale Graph Machine Learning: Tradeoffs, Guarantees and Dynamics” at the IFML Seminar at UT Austin. |
| Sep 14, 2023 | Talk “Manifold Neural Networks for Large-Scale Geometric Information Processing” at the JHU AMS Department Seminar. |
| Aug 21, 2023 | In Tokyo for ICIAM 2023 to speak about graphon neural tangent kernels at the “Geometric Methods in Machine Learning Minisymposium”, organized by Jeff Calder and Leon Bungert. |
| Aug 1, 2023 | I have officially started my new position at JHU. |
| Jul 23, 2023 | Paper “Graph Neural Tangent Kernel: Convergence on Large Graphs” at ICML 2023. |