| A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics | Oct 24, 2024 | Inductive Bias | —Unverified | 0 |
| Physics Enhanced Data-Driven Models with Variational Gaussian Processes | Jun 5, 2019 | Gaussian ProcessesInductive Bias | —Unverified | 0 |
| Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences | Feb 1, 2024 | Inductive Bias | —Unverified | 0 |
| ChemKANs for Combustion Chemistry Modeling and Acceleration | Apr 17, 2025 | Inductive BiasKolmogorov-Arnold Networks | —Unverified | 0 |
| A Cognitive Regularizer for Language Modeling | May 15, 2021 | Inductive BiasLanguage Modeling | —Unverified | 0 |
| Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models | Oct 13, 2022 | Fairnessimage-classification | —Unverified | 0 |
| Exploiting symmetry in variational quantum machine learning | May 12, 2022 | BIG-bench Machine LearningInductive Bias | —Unverified | 0 |
| Exploiting the equivalence between quantum neural networks and perceptrons | Jul 5, 2024 | Inductive BiasQuantum Machine Learning | —Unverified | 0 |
| EqR: Equivariant Representations for Data-Efficient Reinforcement Learning | Sep 29, 2021 | Atari GamesInductive Bias | —Unverified | 0 |
| EqNIO: Subequivariant Neural Inertial Odometry | Aug 12, 2024 | Inductive Bias | —Unverified | 0 |