| 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 | 5 |
| Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders | Jan 23, 2020 | compressed sensingPhysical Simulations | CodeCode Available | 1 | 5 |
| CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation | Sep 19, 2021 | Domain AdaptationDomain Generalization | CodeCode Available | 1 | 5 |
| Grounding Graph Network Simulators using Physical Sensor Observations | Feb 23, 2023 | ImputationMotion Planning | CodeCode Available | 1 | 5 |
| Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations | Dec 2, 2023 | Active LearningGaussian Processes | CodeCode Available | 1 | 5 |
| Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN | Oct 5, 2022 | Computational EfficiencyPhysical Simulations | CodeCode Available | 1 | 5 |
| DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training | Oct 3, 2023 | Adversarial DefenseComputational Efficiency | CodeCode Available | 1 | 5 |
| HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics | Dec 14, 2022 | Physical Simulations | CodeCode Available | 1 | 5 |
| DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials | May 3, 2020 | Physical Simulations | CodeCode Available | 1 | 5 |
| Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer | Dec 19, 2023 | Graph Neural NetworkNumerical Integration | CodeCode Available | 1 | 5 |
