Xiaoning Qian

Bayesian Optimization by Minimum Filling Distance Search

Evaluating GFlowNet from partial episodes for stable and flexible policy-based training

InvarGC: Invariant Granger Causality for Heterogeneous Interventional Time Series under Latent Confounding

Exogenous Distribution Learning for Causal Bayesian Optimization

Non-Replacement Function Space Sampling for Bayesian Optimization

Goal-driven Bayesian Optimal Experimental Design for Robust Decision-Making Under Model Uncertainty

Data-Augmented Few-Shot Neural Emulator for Computer-Model System Identification

Probability of Matching for Pareto Coverage

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists

Learning Materials Interatomic Potentials via Hybrid Invariant-Equivariant Architectures

C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models

Pareto Prompt Optimization

Graph-based Symbolic Regression with Invariance and Constraint Encoding

A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers

Physics-constrained Graph Symbolic Regression

Scale-Invariant Continuous Implicit Neural Representations For Object Counting

$One Stone Three Birds:$ Three-Dimensional Implicit Neural Network for Compression and Continuous Representation of Multi-Altitude Climate Data