| Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs | Nov 30, 2020 | Experimental DesignUncertainty Quantification | —Unverified | 0 | 0 |
| Design Amortization for Bayesian Optimal Experimental Design | Oct 7, 2022 | Computational EfficiencyExperimental Design | —Unverified | 0 | 0 |
| Design and control analysis of a deployable clustered hyperbolic paraboloid cable net | Jun 26, 2022 | Experimental Design | —Unverified | 0 | 0 |
| Design and Evaluation for Robust Continual Learning | Sep 29, 2021 | Continual LearningExperimental Design | —Unverified | 0 | 0 |
| Designing experimental conditions to use the Lotka-Volterra model to infer tumor cell line interaction types | Sep 17, 2022 | Experimental Design | —Unverified | 0 | 0 |
| Designing Intelligent Instruments | Feb 13, 2016 | Experimental Design | —Unverified | 0 | 0 |
| Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter | Sep 27, 2022 | Deep Reinforcement LearningExperimental Design | —Unverified | 0 | 0 |
| Design of Sampling Set for Bandlimited Graph Signal Estimation | Nov 20, 2017 | Experimental DesignQuantization | —Unverified | 0 | 0 |
| Detecting Malicious AI Agents Through Simulated Interactions | Mar 31, 2025 | Decision MakingExperimental Design | —Unverified | 0 | 0 |
| Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem | Jan 21, 2021 | Experimental Design | —Unverified | 0 | 0 |
