2023
-
D Huang*, A Bharti*, A Souza, L Acerbi, S Kaski. “Learning Robust Statistics for Simulation-based Inference under Model Misspecification”. arXiv:2305.15871. (pdf)
-
D Huang, M Haussmann, U Remes, ST John, G Clarté, KS Luck, S Kaski, L Acerbi. “Practical Equivariances via Relational Conditional Neural Processes”. arXiv:2306.10915. (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)
2022
- D Huang. “Bayesian Optimization Augmented with Actively Elicited Expert Knowledge”. Master thesis. (pdf)
2021
- 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)