| A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder | Sep 25, 2020 | Physical Simulations | —Unverified | 0 |
| Can I Pour into It? Robot Imagining Open Containability Affordance of Previously Unseen Objects via Physical Simulations | Aug 5, 2020 | Binary ClassificationClassification | CodeCode Available | 1 |
| In-Distribution Interpretability for Challenging Modalities | Jul 1, 2020 | Physical Simulations | —Unverified | 0 |
| METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design | Jun 1, 2020 | Physical SimulationsPoint Processes | CodeCode Available | 1 |
| CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing | May 29, 2020 | global-optimizationPhysical Simulations | CodeCode Available | 0 |
| Isometric Transformation Invariant and Equivariant Graph Convolutional Networks | May 13, 2020 | Object DetectionPhysical Simulations | CodeCode Available | 1 |
| DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials | May 3, 2020 | Physical Simulations | CodeCode Available | 1 |
| Molecular Insights from Conformational Ensembles via Machine Learning | Feb 4, 2020 | BIG-bench Machine LearningDimensionality Reduction | CodeCode Available | 1 |
| Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics | Jan 31, 2020 | Bayesian InferencePhysical Simulations | CodeCode Available | 1 |
| Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders | Jan 23, 2020 | compressed sensingPhysical Simulations | CodeCode Available | 1 |
