Two dependent probabilistic chip-collecting games. - Joshua Harrington; Kedar Karhadkar; Madeline Kohutka; Tessa Stevens; Tony W. H. Wong (Discret. Appl. Math., 2021)

Oversquashing in GNNs through the lens of information contraction and graph expansion. - Pradeep Kr. Banerjee; Kedar Karhadkar; Yuguang Wang 001; Uri Alon 002; Guido Montúfar (Allerton, 2022)

FoSR: First-order spectral rewiring for addressing oversquashing in GNNs. - Kedar Karhadkar; Pradeep Kr. Banerjee; Guido Montúfar (ICLR, 2023)

Sum index and difference index of graphs. - Joshua Harrington; Eugene Henninger-Voss; Kedar Karhadkar; Emily Robinson; Tony W. H. Wong (Discret. Appl. Math., 2023)

Benign overfitting in leaky ReLU networks with moderate input dimension. - Kedar Karhadkar; Erin George; Michael Murray; Guido F. Montúfar; Deanna Needell (NeurIPS, 2024)

Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension. - Kedar Karhadkar; Michael Murray; Guido F. Montúfar (NeurIPS, 2024)

Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape. - Kedar Karhadkar; Michael Murray; Hanna Tseran; Guido Montúfar (Trans. Mach. Learn. Res., 2024)

Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts. - James Chapman 007; Kedar Karhadkar; Guido Montúfar (CoRR, 2025)