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| Variational Policy Propagation for Multi-agent Reinforcement Learning | Apr 19, 2020 | Multi-agent Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention | Aug 1, 2018 | Network EmbeddingRepresentation Learning | —Unverified | 0 |
| Interactive Graph Convolutional Filtering | Sep 4, 2023 | Collaborative FilteringMeta-Learning | —Unverified | 0 |
| Interpretable Dynamics Models for Data-Efficient Reinforcement Learning | Jul 10, 2019 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder | Jul 1, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Interpretable User Models via Decision-rule Gaussian Processes: Preliminary Results on Energy Storage | Oct 16, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| An Equivalence between Bayesian Priors and Penalties in Variational Inference | Feb 1, 2020 | Variational Inference | —Unverified | 0 |
| IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data | May 2, 2025 | parameter estimationTime Series | —Unverified | 0 |
