| 2025 | ICLR | Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression. | Shuang Liang, Guido Montfar |
| 2025 | ICLR | Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing. | Diaaeldin Taha, James Chapman, Marzieh Eidi, Karel Devriendt, Guido Montfar |
| 2025 | ICML | On the Local Complexity of Linear Regions in Deep ReLU Networks. | Niket Patel, Guido Montfar |
| 2023 | ICLR | FoSR: First-order spectral rewiring for addressing oversquashing in GNNs. | Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montfar |
| 2023 | ICLR | Characterizing the spectrum of the NTK via a power series expansion. | Michael Murray, Hui Jin, Benjamin Bowman, Guido Montfar |
| 2023 | ICML | Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss. | Pierre Brchet, Katerina Papagiannouli, Jing An, Guido Montfar |
| 2023 | ICML | Expected Gradients of Maxout Networks and Consequences to Parameter Initialization. | Hanna Tseran, Guido Montfar |
| 2022 | ICLR | Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks. | Benjamin Bowman, Guido Montfar |
| 2022 | ICLR | Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets. | Hui Jin, Pradeep Kr. Banerjee, Guido Montfar |
| 2022 | ICLR | The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs. | Johannes Mller, Guido Montfar |
| 2021 | ICML | How Framelets Enhance Graph Neural Networks. | Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Li, Ming Li, Guido Montfar |
| 2021 | ISIT | Information Complexity and Generalization Bounds. | Pradeep Kr. Banerjee, Guido Montfar |
| 2020 | ICLR | Kernelized Wasserstein Natural Gradient. | Michael Arbel, Arthur Gretton, Wuchen Li, Guido Montfar |
| 2020 | ICML | Optimization Theory for ReLU Neural Networks Trained with Normalization Layers. | Yonatan Dukler, Quanquan Gu, Guido Montfar |
| 2020 | ICML | Haar Graph Pooling. | Yuguang Wang, Ming Li, Zheng Ma, Guido Montfar, Xiaosheng Zhuang, Yanan Fan |
| 2020 | IJCNN | The Variational Deficiency Bottleneck. | Pradeep Kr. Banerjee, Guido Montfar |
| 2019 | ICML | Wasserstein of Wasserstein Loss for Learning Generative Models. | Yonatan Dukler, Wuchen Li, Alex Tong Lin, Guido Montfar |
| 2018 | ISIT | Computing the Unique Information. | Pradeep Kr. Banerjee, Johannes Rauh, Guido Montfar |
| 2017 | IROS | Morphological computation: The good, the bad, and the ugly. | Keyan Ghazi-Zahedi, Raphael Deimel, Guido Montfar, Vincent Wall, Oliver Brock |