Cinquin, Tristan

6 publications

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

ICLRW 2025 What Actually Matters for Materials Discovery: Pitfalls and Recommendations in Bayesian Optimization Tristan Cinquin, Stanley Lo, Felix Strieth-Kalthoff, Alan Aspuru-Guzik, Geoff Pleiss, Robert Bamler, Tim G. J. Rudner, Vincent Fortuin, Agustinus Kristiadi

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

ICMLW 2024 Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian Neural Networks Tristan Cinquin, Robert Bamler

AISTATS 2023 Variational Boosted Soft Trees Tristan Cinquin, Tammo Rukat, Philipp Schmidt, Martin Wistuba, Artur Bekasov

NeurIPSW 2021 Pathologies in Priors and Inference for Bayesian Transformers Tristan Cinquin, Alexander Immer, Max Horn, Vincent Fortuin