| A primal-dual data-driven method for computational optical imaging with a photonic lantern | Jun 20, 2023 | Decision MakingLearning Theory | CodeCode Available | 0 | 5 |
| A Principle of Least Action for the Training of Neural Networks | Sep 17, 2020 | Learning Theory | CodeCode Available | 0 | 5 |
| Continuous vs. Discrete Optimization of Deep Neural Networks | Jul 14, 2021 | Computational EfficiencyDeep Learning | CodeCode Available | 0 | 5 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| Foreseeing the Benefits of Incidental Supervision | Jun 9, 2020 | InformativenessLearning Theory | CodeCode Available | 0 | 5 |
| Data-Driven Performance Guarantees for Classical and Learned Optimizers | Apr 22, 2024 | Learning TheoryMeta-Learning | CodeCode Available | 0 | 5 |
| Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel | Feb 10, 2022 | Learning Theory | CodeCode Available | 0 | 5 |
| Gray Learning from Non-IID Data with Out-of-distribution Samples | Jun 19, 2022 | Learning Theory | CodeCode Available | 0 | 5 |
| Causal Regularization | Jun 28, 2019 | Learning Theoryregression | CodeCode Available | 0 | 5 |
| Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules | Jun 2, 2022 | Learning Theory | CodeCode Available | 0 | 5 |
