Browsing by Subject deep learning
Showing results 1 to 10 of 10
| Issue Date | Title | Author(s) |
| 2023 | A Computational Approach to the Study of Regulatory Genomics | Cofer, Evan Mitchell |
| Oct-2019 | Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices | Churchill, R.M; the DIII-D team |
| 2018 | Deep Learning for Large-Scale Molecular Dynamics and High-Dimensional Partial Differential Equations | Han, Jiequn |
| 2021 | Learning intuitive physics: a computational investigation | Piloto, Luis Rolando |
| 2021 | MACHINE LEARNING AND STATISTICAL ANALYSIS OF THE COLLECTIVE BEHAVIORS OF LARGE TISSUES | LaChance, Julienne |
| 2019 | Meta-Reinforcement Learning with Episodic Recall: An Integrative Theory of Reward-Driven Learning | Ritter, Samuel |
| 2018 | Pixel-Level Prediction: From Geometry to Semantics | Yu, Fu |
| 2020 | Towards Flexible Active And Online Learning With Neural Networks | Ash, Jordan |
| 2021 | Uncovering the Structure of Animal Behavior via Deep Learning | Pereira, Talmo |
| 2021 | Understanding Deep Learning via Analyzing Dynamics of Gradient Descent | Hu, Wei |