Unsupervised Musical Timbre Transfer for Notification Sounds. - Jing Yang 022; Tristan Cinquin; Gábor Sörös (ICASSP, 2021)

Pathologies in priors and inference for Bayesian transformers. - Tristan Cinquin; Alexander Immer; Max Horn; Vincent Fortuin (CoRR, 2021)

Variational Boosted Soft Trees. - Tristan Cinquin; Tammo Rukat; Philipp Schmidt 002; Martin Wistuba; Artur Bekasov (AISTATS, 2023)

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning. - Tristan Cinquin; Marvin Pförtner; Vincent Fortuin; Philipp Hennig; Robert Bamler (NeurIPS, 2024)

Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks. - Tristan Cinquin; Robert Bamler (CoRR, 2024)

Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence. - Tristan Cinquin; Robert Bamler (UAI, 2025)