| Instance Segmentation for Autonomous Log Grasping in Forestry Operations | Mar 3, 2022 | Inductive BiasInstance Segmentation | CodeCode Available | 1 | 5 |
| DRew: Dynamically Rewired Message Passing with Delay | May 13, 2023 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks | Dec 1, 2022 | Inductive Bias | CodeCode Available | 1 | 5 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 | 5 |
| Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling | Dec 6, 2021 | Graph LearningInductive Bias | CodeCode Available | 1 | 5 |
| Exploring Diffusion Time-steps for Unsupervised Representation Learning | Jan 21, 2024 | Attributecounterfactual | CodeCode Available | 1 | 5 |
| Global Self-Attention as a Replacement for Graph Convolution | Aug 7, 2021 | Edge ClassificationGraph Classification | CodeCode Available | 1 | 5 |
| Are Sparse Autoencoders Useful? A Case Study in Sparse Probing | Feb 23, 2025 | Inductive BiasLarge Language Model | CodeCode Available | 1 | 5 |
| FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting | Jun 19, 2023 | Inductive BiasTime Series | CodeCode Available | 1 | 5 |
