Wu, Dongxia

9 publications

AISTATS 2025 Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortoli, Dongxia Wu, Haorui Wang, Aaron M Ferber, Yian Ma, Carla P Gomes, Chao Zhang

ICML 2025 MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K Gilson, Rose Yu

NeurIPSW 2024 Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization Dongxia Wu, Nikki Lijing Kuang, Ruijia Niu, Yian Ma, Rose Yu

NeurIPSW 2024 GLEAM-AI: Neural Surrogate for Accelerated Epidemic Analytics and Forecasting Mohammadmehdi Zahedi, Dongxia Wu, Jessica T. Davis, Yian Ma, Alessandro Vespignani, Rose Yu, Matteo Chinazzi

NeurIPSW 2024 GLEAM-AI: Neural Surrogate for Accelerated Epidemic Analytics and Forecasting Mohammadmehdi Zahedi, Dongxia Wu, Jessica T. Davis, Yian Ma, Alessandro Vespignani, Rose Yu, Matteo Chinazzi

AISTATS 2024 Learning Granger Causality from Instance-Wise Self-Attentive Hawkes Processes Dongxia Wu, Tsuyoshi Ide, Georgios Kollias, Jiri Navratil, Aurelie Lozano, Naoki Abe, Yian Ma, Rose Yu

NeurIPSW 2024 MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K Gilson, Rose Yu

ICML 2024 Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling Ruijia Niu, Dongxia Wu, Kai Kim, Yian Ma, Duncan Watson-Parris, Rose Yu

ICML 2023 Disentangled Multi-Fidelity Deep Bayesian Active Learning Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yian Ma, Rose Yu