Ballester-Ripoll, Rafael

3 publications

JMLR 2022 Tntorch: Tensor Network Learning with PyTorch Mikhail Usvyatsov, Rafael Ballester-Ripoll, Konrad Schindler

PGM 2022 You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks Rafael Ballester-Ripoll, Manuele Leonelli

ICCV 2021 Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim Rakhuba, Andreas Krause, Konrad Schindler