2023
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D Huang*, A Bharti*, A Souza, L Acerbi, S Kaski. “Learning Robust Statistics for Simulation-based Inference under Model Misspecification”. NeurIPS 2023. (paper, code, website, poster)
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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. (paper, code, website, poster)
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D Huang, L Filstroff, P Mikkola, M Todorovic, S Kaski. “Augmenting Bayesian Optimization with Preference-based Expert Feedback”. ICML Workshop 2023 on The Many Facets of Preference-based Learning. (paper, code)
2022
- D Huang. “Bayesian Optimization Augmented with Actively Elicited Expert Knowledge”. Master thesis. (paper)
2021
- D Huang, RF Perez. “SSELDnet: A Fully End-to-End Sample-Level Framework for Sound Event Localization and Detection”. DCASE 2021. (paper, code)