| The Principles of Deep Learning Theory | Jun 18, 2021 | Deep LearningInductive Bias | —Unverified | 0 |
| Model-Based Counterfactual Synthesizer for Interpretation | Jun 16, 2021 | counterfactualInductive Bias | —Unverified | 0 |
| A Self-Supervised Framework for Function Learning and Extrapolation | Jun 14, 2021 | Inductive BiasTime Series | —Unverified | 0 |
| Phase Transitions, Distance Functions, and Implicit Neural Representations | Jun 14, 2021 | Inductive BiasSurface Reconstruction | CodeCode Available | 0 |
| Dynamical Mechanism of Sampling-based Stochastic Inference under Probabilistic Population Codes | Jun 10, 2021 | Inductive Bias | CodeCode Available | 0 |
| Differentiable Robust LQR Layers | Jun 10, 2021 | Imitation LearningInductive Bias | —Unverified | 0 |
| Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks | Jun 9, 2021 | Graph Neural NetworkInductive Bias | —Unverified | 0 |
| The Inductive Bias of Quantum Kernels | Jun 7, 2021 | Inductive BiasQuantum Machine Learning | CodeCode Available | 0 |
| Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets | Jun 7, 2021 | DecoderDisentanglement | CodeCode Available | 0 |
| A novel Deep Neural Network architecture for non-linear system identification | Jun 6, 2021 | Inductive BiasStochastic Optimization | —Unverified | 0 |
