• D Huang*, A Bharti*, A Souza, L Acerbi, S Kaski. “Learning Robust Statistics for Simulation-based Inference under Model Misspecification”. NeurIPS 2023. (pdf)

  • D Huang, M Haussmann, U Remes, ST John, G Clarte, KS Luck, S Kaski, L Acerbi. “Practical Equivariances via Relational Conditional Neural Processes”. NeurIPS 2023. (pdf)

  • D Huang, L Filstroff, P Mikkola, M Todorovic, S Kaski. “Augmenting Bayesian Optimization with Preference-based Expert Feedback”. ICML Workshop 2023 (The Many Facets of Preference-based Learning). (pdf)


  • D Huang. “Bayesian Optimization Augmented with Actively Elicited Expert Knowledge”. Master thesis. (pdf)


  • D Huang, RF Perez. “SSELDnet: A Fully End-to-End Sample-Level Framework for Sound Event Localization and Detection”. Detection and Classification of Acoustic Scenes and Events 2021. (pdf, code)


  • R Zheng, Y Zhang, D Huang, Q Chen. “Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing”. ECCV 2020. (pdf, code)

  • D Huang. “Multi-Modal Fusion for Fake News Detection”. Bachelor thesis. (code)