Zhen Zhang

Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning

I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?

On the Geometry of Uncertainty: Equivariant Uncertainty Estimation for Molecular Vector Properties

DATE-GFN: A Co-Evolutionary Framework for Principled Exploration and Credit Assignment in GFlowNets

Towards Identifiable Latent Additive Noise Models

Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction

On the Value of Cross-Modal Misalignment in Multimodal Representation Learning

Analytic DAG Constraints for Differentiable DAG Learning

Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation

Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning

Turning Challenges into Opportunities: How Distribution Shifts Enhance Identifiability in Causal Representation Learning

The Quest for Winning Tickets in Low-Rank Adapters

Rethinking end-to-end prediction of adsorption energies from a causal perspective