Guillermo Sapiro

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration ICML 2025 SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning ICLR 2025 Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024 From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks ICML 2024 Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters JMLR 2022 Blind Pareto Fairness and Subgroup Robustness ICML 2021 A Dictionary Approach to Domain-Invariant Learning in Deep Networks NeurIPS 2020 Attention-Based Network for Weak Labels in Neonatal Seizure Detection MLHC 2020 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020 Instance-based Generalization in Reinforcement Learning NeurIPS 2020 Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020 Stochastic Conditional Generative Networks with Basis Decomposition ICLR 2020 Adversarially Learned Representations for Information Obfuscation and Inference ICML 2019 RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks ICLR 2019 DCFNet: Deep Neural Network with Decomposed Convolutional Filters ICML 2018 ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks ECCV 2018 LDMNet: Low Dimensional Manifold Regularized Neural Networks CVPR 2018 OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning CVPR 2018 Deep Video Deblurring for Hand-Held Cameras CVPR 2017 Generalization Error of Invariant Classifiers AISTATS 2017 Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting CVPR 2017 Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding CVPR 2017 Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model CVPR 2017 Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation CVPR 2015 Discriminative Robust Transformation Learning NeurIPS 2015 Geometry-Aware Deep Transform ICCV 2015 Learning Transformations for Clustering and Classification JMLR 2015 Low-Cost Compressive Sensing for Color Video and Depth CVPR 2014 A Convex Optimization Framework for Active Learning ICCV 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NeurIPS 2012 Topology Constraints in Graphical Models NeurIPS 2012 Dependent Hierarchical Beta Process for Image Interpolation and Denoising AISTATS 2011 Online Learning for Matrix Factorization and Sparse Coding JMLR 2010 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Supervised Dictionary Learning NeurIPS 2008 Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NeurIPS 2006