Tristan Cinquin

According to our database, Tristan Cinquin authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence.

Tristan Cinquin, Robert Bamler

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks.

Tristan Cinquin, Robert Bamler

CoRR, 2024

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning.

Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Variational Boosted Soft Trees.

Tristan Cinquin, Tammo Rukat, Philipp Schmidt, Martin Wistuba, Artur Bekasov

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Pathologies in priors and inference for Bayesian transformers.

Tristan Cinquin, Alexander Immer, Max Horn, Vincent Fortuin

CoRR, 2021

Unsupervised Musical Timbre Transfer for Notification Sounds.

Jing Yang, Tristan Cinquin, Gábor Sörös

Proceedings of the IEEE International Conference on Acoustics, 2021