Branchini, Nicola

7 publications

ICLR 2026 Multi-Marginal Flow Matching with Adversarially Learnt Interpolants Oskar Kviman, Kirill Tamogashev, Nicola Branchini, Víctor Elvira, Jens Lagergren, Nikolay Malkin

AISTATS 2024 Adaptive Importance Sampling for Heavy-Tailed Distributions via $α$-Divergence Minimization Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Victor Elvira

CLeaR 2024 Causal Optimal Transport of Abstractions Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini, Theodoros Damoulas

NeurIPSW 2024 The Role of Tail Dependence in Estimating Posterior Expectations Nicola Branchini, Víctor Elvira

AISTATS 2024 Variational Resampling Oskar Kviman, Nicola Branchini, Víctor Elvira, Jens Lagergren

AISTATS 2023 Causal Entropy Optimization Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas

UAI 2021 Optimized Auxiliary Particle Filters: Adapting Mixture Proposals via Convex Optimization Nicola Branchini, Víctor Elvira