Kun Zhang
- CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
- Detecting Generated Images by Fitting Natural Image Distributions
- Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders
- LLM Interpretability with Identifiable Temporal-Instantaneous Representation
- Learning Counterfactual Outcomes Under Rank Preservation
- Online Time Series Forecasting with Theoretical Guarantees
- PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis
- Practical Kernel Selection for Kernel-based Conditional Independence Test
- The third pillar of causal analysis? A measurement perspective on causal representations
- Thought Communication in Multiagent Collaboration
- Towards Accurate Time Series Forecasting via Implicit Decoding
- Towards Identifiability of Hierarchical Temporal Causal Representation Learning
- Towards Self-Refinement of Vision-Language Models with Triangular Consistency