| Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions | Oct 12, 2024 | Drug DesignInductive Bias | —Unverified | 0 |
| Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization | Oct 11, 2024 | Inductive BiasPosition | —Unverified | 0 |
| Masked Generative Priors Improve World Models Sequence Modelling Capabilities | Oct 10, 2024 | continuous-controlContinuous Control | —Unverified | 0 |
| Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning? | Oct 10, 2024 | Few-Shot LearningIn-Context Learning | —Unverified | 0 |
| Failure-Proof Non-Contrastive Self-Supervised Learning | Oct 7, 2024 | Inductive BiasSelf-Supervised Learning | —Unverified | 0 |
| Unitary convolutions for learning on graphs and groups | Oct 7, 2024 | Inductive Bias | CodeCode Available | 0 |
| Symmetry From Scratch: Group Equivariance as a Supervised Learning Task | Oct 5, 2024 | Inductive Bias | —Unverified | 0 |
| Linear Transformer Topological Masking with Graph Random Features | Oct 4, 2024 | Inductive Bias | —Unverified | 0 |
| HRVMamba: High-Resolution Visual State Space Model for Dense Prediction | Oct 4, 2024 | Inductive BiasMamba | CodeCode Available | 0 |
| Latent Action Priors for Locomotion with Deep Reinforcement Learning | Oct 4, 2024 | Deep Reinforcement LearningEfficient Exploration | —Unverified | 0 |
| Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups | Oct 3, 2024 | image-classificationImage Classification | —Unverified | 0 |
| Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance | Oct 3, 2024 | Inductive BiasMulti-agent Reinforcement Learning | —Unverified | 0 |
| Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization | Oct 2, 2024 | Inductive Bias | —Unverified | 0 |
| Equivariant score-based generative models provably learn distributions with symmetries efficiently | Oct 2, 2024 | Data AugmentationGeneralization Bounds | —Unverified | 0 |
| Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation | Oct 1, 2024 | DescriptiveInductive Bias | —Unverified | 0 |
| On the Inductive Bias of Stacking Towards Improving Reasoning | Sep 27, 2024 | Inductive BiasMath | —Unverified | 0 |
| Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks | Sep 27, 2024 | Inductive Bias | —Unverified | 0 |
| Disentanglement with Factor Quantized Variational Autoencoders | Sep 23, 2024 | DisentanglementInductive Bias | CodeCode Available | 0 |
| Stimulus-to-Stimulus Learning in RNNs with Cortical Inductive Biases | Sep 20, 2024 | Inductive Bias | —Unverified | 0 |
| Multichannel-to-Multichannel Target Sound Extraction Using Direction and Timestamp Clues | Sep 19, 2024 | Inductive BiasTarget Sound Extraction | —Unverified | 0 |
| Learning Generalized Hamiltonians using fully Symplectic Mappings | Sep 17, 2024 | Inductive Bias | —Unverified | 0 |
| Redesigning graph filter-based GNNs to relax the homophily assumption | Sep 13, 2024 | Inductive Bias | CodeCode Available | 0 |
| VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis | Sep 12, 2024 | 3D ReconstructionDisentanglement | —Unverified | 0 |
| Symmetry constrained neural networks for detection and localization of damage in metal plates | Sep 9, 2024 | Inductive BiasTime Series | —Unverified | 0 |
| Adversarial Attacks on Data Attribution | Sep 9, 2024 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 |