| Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach | Feb 11, 2021 | Experimental Design | —Unverified | 0 |
| Learning Models of Model Predictive Controllers using Gradient Data | Feb 3, 2021 | Experimental Design | —Unverified | 0 |
| Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark | Feb 1, 2021 | Computational EfficiencyDiscrete Choice Models | —Unverified | 0 |
| A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers | Jan 24, 2021 | Experimental Designreinforcement-learning | —Unverified | 0 |
| Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem | Jan 21, 2021 | Experimental Design | —Unverified | 0 |
| Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments | Jan 15, 2021 | Experimental DesignReinforcement Learning (RL) | —Unverified | 0 |
| Data-driven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning | Jan 12, 2021 | Experimental Design | —Unverified | 0 |
| From Tinkering to Engineering: Measurements in Tensorflow Playground | Jan 11, 2021 | Experimental Design | —Unverified | 0 |
| Maximizing Information Gain for the Characterization of Biomolecular Circuits | Jan 8, 2021 | Experimental DesignInformativeness | —Unverified | 0 |
| Learning Collision-free Latent Space for Bayesian Optimization | Jan 1, 2021 | Bayesian OptimizationExperimental Design | —Unverified | 0 |
