Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? E George, M Murray, W Swartworth, D Needell Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
Decomposing Signals from Dynamical Systems Using Shadow Manifold Interpolation E George, CE Chan, G Dimand, RM Chakmak, C Falcon, D Eckhardt, ... SIAM Journal on Applied Dynamical Systems 20 (4), 2236-2260, 2021 | 6 | 2021 |
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 | 2 | 2024 |
Optimal asymptotic of the functional with respect to the metric T Darvas, E George, K Smith arXiv preprint arXiv:2101.02589, 2021 | 2 | 2021 |
Effects of cell packing on chemoattractant distribution within a tissue Z Mekus, J Cooley, A George, V Sabo, M Strzegowski, M Starz-Gaiano, ... AIMS Biophysics 5 (1), 2018 | 2 | 2018 |
Multi-Randomized Kaczmarz for Latent Class Regression E George, Y Yaniv, D Needell 2022 56th Asilomar Conference on Signals, Systems, and Computers, 1367-1371, 2022 | 1 | 2022 |
Detecting and Mitigating Indirect Stereotypes in Word Embeddings E George, J Chew, D Needell arXiv preprint arXiv:2305.14574, 2023 | | 2023 |
Fast approximate kernel PCA via wavelet decomposition A George, W Czaja Algorithms, Technologies, and Applications for Multispectral and …, 2020 | | 2020 |