FoSR: First-order spectral rewiring for addressing oversquashing in GNNs K Karhadkar, PK Banerjee, G Montúfar International Conference on Learning Representations (ICLR 2023), 2023 | 47 | 2023 |
Oversquashing in GNNs through the lens of information contraction and graph expansion PK Banerjee, K Karhadkar, YG Wang, U Alon, G Montúfar 58th Annual Allerton Conference on Communication, Control, and Computing, 2022 | 44 | 2022 |
Mildly overparameterized relu networks have a favorable loss landscape K Karhadkar, M Murray, H Tseran, G Montúfar Transactions on Machine Learning Research, 2023 | 4 | 2023 |
Sum index and difference index of graphs J Harrington, E Henninger-Voss, K Karhadkar, E Robinson, TWH Wong Discrete Applied Mathematics 325, 262-283, 2023 | 2 | 2023 |
Two dependent probabilistic chip-collecting games J Harrington, K Karhadkar, M Kohutka, T Stevens, TWH Wong Discrete Applied Mathematics 288, 74-86, 2021 | 2 | 2021 |
Parity of the partition function K Karhadkar International Journal of Number Theory 15 (04), 799-805, 2019 | 2 | 2019 |
Benign overfitting in leaky ReLU networks with moderate input dimension K Karhadkar, E George, M Murray, G Montúfar, D Needell arXiv preprint arXiv:2403.06903, 2024 | 1 | 2024 |
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension K Karhadkar, M Murray, G Montúfar arXiv preprint arXiv:2405.14630, 2024 | | 2024 |
Lattice models, differential forms, and the Yang-Baxter equation K Karhadkar arXiv preprint arXiv:2207.13282, 2020 | | 2020 |