Learning Differential Equations that are Easy to Solve
Authors: Jacob Kelly, Jesse Bettencourt, Matthew J. Johnson, David K. Duvenaud
NeurIPS 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We demonstrate our approach by training substantially faster, while nearly as accurate, models in supervised classification, density estimation, and time-series modelling tasks. |
| Researcher Affiliation | Collaboration | Jacob Kelly University of Toronto, Vector Institute jkelly@cs.toronto.eduJesse Bettencourt University of Toronto, Vector Institute jessebett@cs.toronto.eduMatthew James Johnson Google Brain mattjj@google.comDavid Duvenaud University of Toronto, Vector Institute duvenaud@cs.toronto.edu |
| Pseudocode | No | The paper does not contain any clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | Yes | Code available at: github.com/jacobjinkelly/easy-neural-ode |
| Open Datasets | Yes | We construct a model for MNIST classification: it takes in as input a flattened MNIST image... Physio Net Challenge 2012 dataset (Silva et al., 2012)... MINIBOONE tabular dataset from Papamakarios et al. (2017) and the MNIST image dataset (Le Cun et al., 2010). |
| Dataset Splits | No | The paper mentions 'training error' and 'test set' but does not explicitly describe training/validation/test splits, percentages, or specific sample counts for reproduction. |
| Hardware Specification | No | The paper does not specify any particular hardware (e.g., GPU or CPU models, memory details) used for running the experiments. |
| Software Dependencies | No | The paper mentions 'JAX Python library' and 'standard dopri5 Runge-Kutta 4(5) solver' but does not provide specific version numbers for these software components. |
| Experiment Setup | Yes | During training, we weigh this regularization term by a hyperparameter λ and add it to our original loss to get our regularized objective... The default tolerance of 1.4e-8 for both atol and rtol behaved well in all our experiments. |